[{"additionalPlain":"The US hourly range for this role is: $60 USD and the Canada hourly range for this role is: $60-$65 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. \n\n\nPerks/Benefits:\nWaabi provides a competitive benefits package that includes:\nDaily drinks, snacks and catered meals (when in office)\nRegularly scheduled team building activities and social events\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n \n","additional":"The US hourly range for this role is: $60 USD and the Canada hourly range for this role is: $60-$65 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations.
Perks/Benefits:
\nWaabi provides a competitive benefits package that includes:
\n\n- Daily drinks, snacks and catered meals (when in office)
\n- Regularly scheduled team building activities and social events
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
\n
","categories":{"commitment":"Intern","department":"Internships / Co-ops","location":"Toronto, ON","team":"Research","allLocations":["Toronto, ON","Pittsburgh, PA","San Francisco, CA"]},"createdAt":1766095153993,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\nBe part of a team of multidisciplinary Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale.\nLead or Contribute to an AI research project, pushing the frontiers of the field by developing new algorithms for Autonomous Vehicle (AV). This includes topics such as perception, prediction, motion planning, controls, simulation, mapping, localization, core AI, etc.\nDesign, implement, train, and optimize novel algorithms on self-driving vehicles and various production systems. \nBe encouraged to submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company blog.\n \nQualifications:\nPursuing PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study.\nDemonstrated research/software engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers.\nAt least one publication in top Machine Learning, Computer Vision, or Robotics conferences. \nStrong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.\nProficient in reading and coding in Python and/or C++..\nOpen-minded and collaborative team player with willingness to help others.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nApplication Instructions:\nTo be considered for an internship/co-op, please add your most up to date academic transcripts alongside with your resume for further review.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will...
\n\n- Be part of a team of multidisciplinary Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale.
\n- Lead or Contribute to an AI research project, pushing the frontiers of the field by developing new algorithms for Autonomous Vehicle (AV). This includes topics such as perception, prediction, motion planning, controls, simulation, mapping, localization, core AI, etc.
\n- Design, implement, train, and optimize novel algorithms on self-driving vehicles and various production systems.
\n- Be encouraged to submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company blog.
\n
\n
\nQualifications:
\n\n- Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study.
\n- Demonstrated research/software engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers.
\n- At least one publication in top Machine Learning, Computer Vision, or Robotics conferences.
\n- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
\n- Proficient in reading and coding in Python and/or C++..
\n- Open-minded and collaborative team player with willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
\nApplication Instructions:
\n\n- To be considered for an internship/co-op, please add your most up to date academic transcripts alongside with your resume for further review.
\n
","id":"62700386-b9db-4c78-aec3-5ef59cbe841e","lists":[],"text":"2026 Intern, PhD Research Scientist","country":"CA","workplaceType":"onsite","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will...
\n\n- Be part of a team of multidisciplinary Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale.
\n- Lead or Contribute to an AI research project, pushing the frontiers of the field by developing new algorithms for Autonomous Vehicle (AV). This includes topics such as perception, prediction, motion planning, controls, simulation, mapping, localization, core AI, etc.
\n- Design, implement, train, and optimize novel algorithms on self-driving vehicles and various production systems.
\n- Be encouraged to submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company blog.
\n
\n
\nQualifications:
\n\n- Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study.
\n- Demonstrated research/software engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers.
\n- At least one publication in top Machine Learning, Computer Vision, or Robotics conferences.
\n- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
\n- Proficient in reading and coding in Python and/or C++..
\n- Open-minded and collaborative team player with willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
\nApplication Instructions:
\n\n- To be considered for an internship/co-op, please add your most up to date academic transcripts alongside with your resume for further review.
\n
","descriptionBodyPlain":"You will...\nBe part of a team of multidisciplinary Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale.\nLead or Contribute to an AI research project, pushing the frontiers of the field by developing new algorithms for Autonomous Vehicle (AV). This includes topics such as perception, prediction, motion planning, controls, simulation, mapping, localization, core AI, etc.\nDesign, implement, train, and optimize novel algorithms on self-driving vehicles and various production systems. \nBe encouraged to submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company blog.\n \nQualifications:\nPursuing PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study.\nDemonstrated research/software engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers.\nAt least one publication in top Machine Learning, Computer Vision, or Robotics conferences. \nStrong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.\nProficient in reading and coding in Python and/or C++..\nOpen-minded and collaborative team player with willingness to help others.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nApplication Instructions:\nTo be considered for an internship/co-op, please add your most up to date academic transcripts alongside with your resume for further review.\n","hostedUrl":"https://jobs.lever.co/waabi/62700386-b9db-4c78-aec3-5ef59cbe841e","applyUrl":"https://jobs.lever.co/waabi/62700386-b9db-4c78-aec3-5ef59cbe841e/apply"},{"additionalPlain":"The US yearly salary range for this role is: $139,000- $258,000 USD and the Canada salary range for this role is: $118,000 - $168,000 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.\n\n\nPerks/Benefits:\nWaabi provides a competitive benefits package that includes:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits that include Medical, Vision and Dental coverage.\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n \n","additional":"The US yearly salary range for this role is: $139,000- $258,000 USD and the Canada salary range for this role is: $118,000 - $168,000 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.
Perks/Benefits:
\nWaabi provides a competitive benefits package that includes:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits that include Medical, Vision and Dental coverage.
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
\n
","categories":{"commitment":"Full-time","department":"Systems Engineering and Safety","location":"Remote US","team":"Security","allLocations":["Remote US","Remote Canada","San Francisco, CA","Toronto, ON","Pittsburgh, PA","Dallas, TX"]},"createdAt":1787856354224,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWaabi is leaning into an AI-native strategy — not just in our trucks, but in how we build, ship, and operate every day. Our teams leverage key AI tools to enhance productivity and efficiency, continuously expanding AI integration across our systems and workflows. That's a huge unlock, and it's moving fast. We're looking for someone to make sure it keeps moving fast safely — by establishing the guardrails and collaborating on the implementation of sandboxes and automations that let people adopt AI with confidence instead of second-guessing themselves. You'll join a small, sharp security team and take primary ownership of AI security controls and considerations across the company. If you've got a developer's instincts, a security mindset, and you're genuinely curious about what these tools can and can't be trusted to do, this role is built around you.\n \nYou will...\n- Audit how AI tools and MCP integrations are currently used across the company, and map where they touch sensitive systems, data, or credentials for the purpose of defining policy.\n- Design and implement layered guardrails - enterprise-level system prompts, scoped permissions, sandboxing patterns - that constrain AI behavior before it ever reaches a user's request.\n- Maintain an inventory of both MCP servers and AI-to-service connections and their data access controls, with a clear model of what each one can access and why.\n- Partner directly with users across the organization to bake secure-by-default patterns into their AI-assisted workflows so that written policy doesn’t just sit on a shelf.\n- Evaluate new AI tools, plugins, and integration requests, and figure out the secure way to say yes.\n- Continuously test and red-team your own guardrails - assume they'll be pushed on, and find the gaps before someone else does.\n- Document guidance and patterns that a non-security audience can actually follow without needing a security background.\n \nQualifications:\n- Bachelor's degree in Computer Science or a related field.\n- Professional software development experience, with solid fundamentals in how services, APIs, and permissions fit together.\n- Hands-on experience using AI coding/productivity tools (Claude, Copilot, Gemini, or similar) in business-critical workflows.\n- Working knowledge of core security concepts — least privilege, sandboxing, trust boundaries, threat modeling basics.\n- Strong communication skills - you work with engineers as a partner.\n \nBonus:\n- Experience with MCP (Model Context Protocol) or similar tool-calling/agent-integration frameworks.\n- Exposure to prompt injection, jailbreaking, or other AI/LLM-specific attack techniques.\n- Background in autonomous vehicles, robotics, or other safety-critical systems\n \n \n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
Waabi is leaning into an AI-native strategy — not just in our trucks, but in how we build, ship, and operate every day. Our teams leverage key AI tools to enhance productivity and efficiency, continuously expanding AI integration across our systems and workflows. That's a huge unlock, and it's moving fast. We're looking for someone to make sure it keeps moving fast safely — by establishing the guardrails and collaborating on the implementation of sandboxes and automations that let people adopt AI with confidence instead of second-guessing themselves. You'll join a small, sharp security team and take primary ownership of AI security controls and considerations across the company. If you've got a developer's instincts, a security mindset, and you're genuinely curious about what these tools can and can't be trusted to do, this role is built around you.
\n
\nYou will...
\n- Audit how AI tools and MCP integrations are currently used across the company, and map where they touch sensitive systems, data, or credentials for the purpose of defining policy.
\n- Design and implement layered guardrails - enterprise-level system prompts, scoped permissions, sandboxing patterns - that constrain AI behavior before it ever reaches a user's request.
\n- Maintain an inventory of both MCP servers and AI-to-service connections and their data access controls, with a clear model of what each one can access and why.
\n- Partner directly with users across the organization to bake secure-by-default patterns into their AI-assisted workflows so that written policy doesn’t just sit on a shelf.
\n- Evaluate new AI tools, plugins, and integration requests, and figure out the secure way to say yes.
\n- Continuously test and red-team your own guardrails - assume they'll be pushed on, and find the gaps before someone else does.
\n- Document guidance and patterns that a non-security audience can actually follow without needing a security background.
\n
\nQualifications:
\n- Bachelor's degree in Computer Science or a related field.
\n- Professional software development experience, with solid fundamentals in how services, APIs, and permissions fit together.
\n- Hands-on experience using AI coding/productivity tools (Claude, Copilot, Gemini, or similar) in business-critical workflows.
\n- Working knowledge of core security concepts — least privilege, sandboxing, trust boundaries, threat modeling basics.
\n- Strong communication skills - you work with engineers as a partner.
\n
\nBonus:
\n- Experience with MCP (Model Context Protocol) or similar tool-calling/agent-integration frameworks.
\n- Exposure to prompt injection, jailbreaking, or other AI/LLM-specific attack techniques.
\n- Background in autonomous vehicles, robotics, or other safety-critical systems
\n
\n
","id":"c4559ea4-1912-4d77-a32c-1a32849e86a0","lists":[],"text":"Applied AI Security Engineer","country":"US","workplaceType":"remote","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"Waabi is leaning into an AI-native strategy — not just in our trucks, but in how we build, ship, and operate every day. Our teams leverage key AI tools to enhance productivity and efficiency, continuously expanding AI integration across our systems and workflows. That's a huge unlock, and it's moving fast. We're looking for someone to make sure it keeps moving fast safely — by establishing the guardrails and collaborating on the implementation of sandboxes and automations that let people adopt AI with confidence instead of second-guessing themselves. You'll join a small, sharp security team and take primary ownership of AI security controls and considerations across the company. If you've got a developer's instincts, a security mindset, and you're genuinely curious about what these tools can and can't be trusted to do, this role is built around you.
\n
\nYou will...
\n- Audit how AI tools and MCP integrations are currently used across the company, and map where they touch sensitive systems, data, or credentials for the purpose of defining policy.
\n- Design and implement layered guardrails - enterprise-level system prompts, scoped permissions, sandboxing patterns - that constrain AI behavior before it ever reaches a user's request.
\n- Maintain an inventory of both MCP servers and AI-to-service connections and their data access controls, with a clear model of what each one can access and why.
\n- Partner directly with users across the organization to bake secure-by-default patterns into their AI-assisted workflows so that written policy doesn’t just sit on a shelf.
\n- Evaluate new AI tools, plugins, and integration requests, and figure out the secure way to say yes.
\n- Continuously test and red-team your own guardrails - assume they'll be pushed on, and find the gaps before someone else does.
\n- Document guidance and patterns that a non-security audience can actually follow without needing a security background.
\n
\nQualifications:
\n- Bachelor's degree in Computer Science or a related field.
\n- Professional software development experience, with solid fundamentals in how services, APIs, and permissions fit together.
\n- Hands-on experience using AI coding/productivity tools (Claude, Copilot, Gemini, or similar) in business-critical workflows.
\n- Working knowledge of core security concepts — least privilege, sandboxing, trust boundaries, threat modeling basics.
\n- Strong communication skills - you work with engineers as a partner.
\n
\nBonus:
\n- Experience with MCP (Model Context Protocol) or similar tool-calling/agent-integration frameworks.
\n- Exposure to prompt injection, jailbreaking, or other AI/LLM-specific attack techniques.
\n- Background in autonomous vehicles, robotics, or other safety-critical systems
\n
\n
","descriptionBodyPlain":"Waabi is leaning into an AI-native strategy — not just in our trucks, but in how we build, ship, and operate every day. Our teams leverage key AI tools to enhance productivity and efficiency, continuously expanding AI integration across our systems and workflows. That's a huge unlock, and it's moving fast. We're looking for someone to make sure it keeps moving fast safely — by establishing the guardrails and collaborating on the implementation of sandboxes and automations that let people adopt AI with confidence instead of second-guessing themselves. You'll join a small, sharp security team and take primary ownership of AI security controls and considerations across the company. If you've got a developer's instincts, a security mindset, and you're genuinely curious about what these tools can and can't be trusted to do, this role is built around you.\n \nYou will...\n- Audit how AI tools and MCP integrations are currently used across the company, and map where they touch sensitive systems, data, or credentials for the purpose of defining policy.\n- Design and implement layered guardrails - enterprise-level system prompts, scoped permissions, sandboxing patterns - that constrain AI behavior before it ever reaches a user's request.\n- Maintain an inventory of both MCP servers and AI-to-service connections and their data access controls, with a clear model of what each one can access and why.\n- Partner directly with users across the organization to bake secure-by-default patterns into their AI-assisted workflows so that written policy doesn’t just sit on a shelf.\n- Evaluate new AI tools, plugins, and integration requests, and figure out the secure way to say yes.\n- Continuously test and red-team your own guardrails - assume they'll be pushed on, and find the gaps before someone else does.\n- Document guidance and patterns that a non-security audience can actually follow without needing a security background.\n \nQualifications:\n- Bachelor's degree in Computer Science or a related field.\n- Professional software development experience, with solid fundamentals in how services, APIs, and permissions fit together.\n- Hands-on experience using AI coding/productivity tools (Claude, Copilot, Gemini, or similar) in business-critical workflows.\n- Working knowledge of core security concepts — least privilege, sandboxing, trust boundaries, threat modeling basics.\n- Strong communication skills - you work with engineers as a partner.\n \nBonus:\n- Experience with MCP (Model Context Protocol) or similar tool-calling/agent-integration frameworks.\n- Exposure to prompt injection, jailbreaking, or other AI/LLM-specific attack techniques.\n- Background in autonomous vehicles, robotics, or other safety-critical systems\n \n \n","hostedUrl":"https://jobs.lever.co/waabi/c4559ea4-1912-4d77-a32c-1a32849e86a0","applyUrl":"https://jobs.lever.co/waabi/c4559ea4-1912-4d77-a32c-1a32849e86a0/apply"},{"additionalPlain":"The US yearly salary range for this role is: $128,000 - $184,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"The US yearly salary range for this role is: $128,000 - $184,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Toronto, ON","team":"Autonomy & Algorithms","allLocations":["Toronto, ON","San Francisco, CA","Pittsburgh, PA","Remote US & Canada"]},"createdAt":1778560103992,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nAt Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability.\nWe are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi-faceted evaluation methodology. This is a highly collaborative, cross-functional role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will work alongside experts across these teams to deliver a comprehensive, cross-modal analysis of our autonomy system that translates directly into actionable insights for the entire organization.\nYou will...\nCollaborate with cross-functional teams to provide comprehensive analysis on autonomy system performance across Waabi World (Simulation), Track, and Public Road testing.\nDevelop and maintain sophisticated, cross-modal dashboards that provide a unified and trustworthy view of the performance of our systems, tracking progress toward critical company milestones.\nPartner with Data Platform and Evaluation teams to shape the evolution of eval tooling and pipelines, ensuring our infrastructure remains scalable, automated, and capable of validating complex system requirements across all testing modalities.\nAct as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and requirements of our system KPIs.\nProactively monitor and investigate anomalies in metrics to ensure stakeholders are making decisions based on reliable, high-fidelity data.\n \nQualifications:\nMinimum of 3+ years of professional experience in an analytical role (e.g., Data Science, Systems Evaluation, or Product Analytics).\nBS/MS in a quantitative field such as Computer Science, Engineering, Statistics, Physics, or similar.\nStrong command of SQL, and familiarity with Python for data manipulation and prototyping.\nExperience building clear, automated dashboards using modern BI tools or custom frameworks.\nExperience working with internal cross-functional partners/stakeholders\nOpen-minded and collaborative team player with willingness to help others\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus/nice to have:\nExperience in the Autonomous Vehicle or Robotics industry.\nExperience with large scale databases and analytics \nPractical understanding of statistical concepts (e.g., hypothesis testing, significance) as applied to real-world performance measurement\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
At Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability.
\n
We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi-faceted evaluation methodology. This is a highly collaborative, cross-functional role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will work alongside experts across these teams to deliver a comprehensive, cross-modal analysis of our autonomy system that translates directly into actionable insights for the entire organization.
\n
You will...
\n
\n- Collaborate with cross-functional teams to provide comprehensive analysis on autonomy system performance across Waabi World (Simulation), Track, and Public Road testing.
\n- Develop and maintain sophisticated, cross-modal dashboards that provide a unified and trustworthy view of the performance of our systems, tracking progress toward critical company milestones.
\n- Partner with Data Platform and Evaluation teams to shape the evolution of eval tooling and pipelines, ensuring our infrastructure remains scalable, automated, and capable of validating complex system requirements across all testing modalities.
\n- Act as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and requirements of our system KPIs.
\n- Proactively monitor and investigate anomalies in metrics to ensure stakeholders are making decisions based on reliable, high-fidelity data.
\n
\n
\n
Qualifications:
\n
\n- Minimum of 3+ years of professional experience in an analytical role (e.g., Data Science, Systems Evaluation, or Product Analytics).
\n- BS/MS in a quantitative field such as Computer Science, Engineering, Statistics, Physics, or similar.
\n- Strong command of SQL, and familiarity with Python for data manipulation and prototyping.
\n- Experience building clear, automated dashboards using modern BI tools or custom frameworks.
\n- Experience working with internal cross-functional partners/stakeholders
\n- Open-minded and collaborative team player with willingness to help others
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
\n
Bonus/nice to have:
\n
\n- Experience in the Autonomous Vehicle or Robotics industry.
\n- Experience with large scale databases and analytics
\n- Practical understanding of statistical concepts (e.g., hypothesis testing, significance) as applied to real-world performance measurement
\n
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
At Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability.
\n
We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi-faceted evaluation methodology. This is a highly collaborative, cross-functional role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will work alongside experts across these teams to deliver a comprehensive, cross-modal analysis of our autonomy system that translates directly into actionable insights for the entire organization.
\n
You will...
\n
\n- Collaborate with cross-functional teams to provide comprehensive analysis on autonomy system performance across Waabi World (Simulation), Track, and Public Road testing.
\n- Develop and maintain sophisticated, cross-modal dashboards that provide a unified and trustworthy view of the performance of our systems, tracking progress toward critical company milestones.
\n- Partner with Data Platform and Evaluation teams to shape the evolution of eval tooling and pipelines, ensuring our infrastructure remains scalable, automated, and capable of validating complex system requirements across all testing modalities.
\n- Act as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and requirements of our system KPIs.
\n- Proactively monitor and investigate anomalies in metrics to ensure stakeholders are making decisions based on reliable, high-fidelity data.
\n
\n
\n
Qualifications:
\n
\n- Minimum of 3+ years of professional experience in an analytical role (e.g., Data Science, Systems Evaluation, or Product Analytics).
\n- BS/MS in a quantitative field such as Computer Science, Engineering, Statistics, Physics, or similar.
\n- Strong command of SQL, and familiarity with Python for data manipulation and prototyping.
\n- Experience building clear, automated dashboards using modern BI tools or custom frameworks.
\n- Experience working with internal cross-functional partners/stakeholders
\n- Open-minded and collaborative team player with willingness to help others
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
\n
Bonus/nice to have:
\n
\n- Experience in the Autonomous Vehicle or Robotics industry.
\n- Experience with large scale databases and analytics
\n- Practical understanding of statistical concepts (e.g., hypothesis testing, significance) as applied to real-world performance measurement
\n
\n
Perks/Benefits:
\n\n
Waabi provides a competitive benefits package that includes:
\n
\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy.
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Operations","location":"Dallas, TX","team":"Road Operations","allLocations":["Dallas, TX"]},"createdAt":1787335069474,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will…\nConduct regular inspections and maintenance of the Waabi class 8 autonomous trucking fleet to ensure optimal performance and safety.\nDiagnose and troubleshoot technical issues with vehicle mechanical systems, electrical. components, sensors, and other vehicle systems\nPerform repairs and replacements of faulty components or systems, adhering to Waabi developed work instructions, manufacturer guidelines, and safety protocols.\nCollaborate with all teams to provide feedback on technical issues, contribute to continuous improvement efforts, and assist in the development of new features or upgrades.\nMaintain accurate records of maintenance activities, repairs, and parts inventory.\nProvide technical support to truck operators on vehicle systems, operation procedures, and troubleshooting techniques.\nStay updated on industry trends, advancements in technology, and regulatory requirements related to autonomous and Class 8 vehicles.\nEnsure compliance with all relevant safety standards, regulations, and company policies.\nSupport Waabi’s safety culture.\n \nQualifications:\nHigh school diploma or equivalent; technical certification or vocational training in automotive technology, electrical engineering, or related field is preferred.\nProven experience as a technician or mechanic, preferably in the automotive, heavy-duty trucking, or technology industry. ASE certifications are highly desirable.\nStrong diagnostic and problem-solving skills, with the ability to troubleshoot complex electrical and mechanical systems.\nFamiliarity with truck maintenance and repair.\nFamiliarity with autonomous driving technology, including sensors, cameras, GPS, and onboard computer systems, is highly desirable.\nProficiency in using diagnostic tools, software, and equipment for vehicle maintenance and repair.\nExcellent communication skills and ability to work effectively in a team environment.\nWillingness to work flexible hours, including evenings and weekends, and travel as needed.\nCommitment to safety, attention to detail, and adherence to protocols and procedures.\nOpen-minded and collaborative team player with the willingness to help others.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nShift Hours: \nCurrent shift hours are 11pm to 7:30am and subject to change to support business needs. \n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will…
\n\n- Conduct regular inspections and maintenance of the Waabi class 8 autonomous trucking fleet to ensure optimal performance and safety.
\n- Diagnose and troubleshoot technical issues with vehicle mechanical systems, electrical. components, sensors, and other vehicle systems
\n- Perform repairs and replacements of faulty components or systems, adhering to Waabi developed work instructions, manufacturer guidelines, and safety protocols.
\n- Collaborate with all teams to provide feedback on technical issues, contribute to continuous improvement efforts, and assist in the development of new features or upgrades.
\n- Maintain accurate records of maintenance activities, repairs, and parts inventory.
\n- Provide technical support to truck operators on vehicle systems, operation procedures, and troubleshooting techniques.
\n- Stay updated on industry trends, advancements in technology, and regulatory requirements related to autonomous and Class 8 vehicles.
\n- Ensure compliance with all relevant safety standards, regulations, and company policies.
\n- Support Waabi’s safety culture.
\n
\n
\nQualifications:
\n\n- High school diploma or equivalent; technical certification or vocational training in automotive technology, electrical engineering, or related field is preferred.
\n- Proven experience as a technician or mechanic, preferably in the automotive, heavy-duty trucking, or technology industry. ASE certifications are highly desirable.
\n- Strong diagnostic and problem-solving skills, with the ability to troubleshoot complex electrical and mechanical systems.
\n- Familiarity with truck maintenance and repair.
\n- Familiarity with autonomous driving technology, including sensors, cameras, GPS, and onboard computer systems, is highly desirable.
\n- Proficiency in using diagnostic tools, software, and equipment for vehicle maintenance and repair.
\n- Excellent communication skills and ability to work effectively in a team environment.
\n- Willingness to work flexible hours, including evenings and weekends, and travel as needed.
\n- Commitment to safety, attention to detail, and adherence to protocols and procedures.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
\nShift Hours:
\n\n- Current shift hours are 11pm to 7:30am and subject to change to support business needs.
\n
","id":"6c88edff-7632-45e6-afe0-19bf1704a298","lists":[],"text":"Autonomous Semi Technician - Night Shift","country":"US","workplaceType":"onsite","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will…
\n\n- Conduct regular inspections and maintenance of the Waabi class 8 autonomous trucking fleet to ensure optimal performance and safety.
\n- Diagnose and troubleshoot technical issues with vehicle mechanical systems, electrical. components, sensors, and other vehicle systems
\n- Perform repairs and replacements of faulty components or systems, adhering to Waabi developed work instructions, manufacturer guidelines, and safety protocols.
\n- Collaborate with all teams to provide feedback on technical issues, contribute to continuous improvement efforts, and assist in the development of new features or upgrades.
\n- Maintain accurate records of maintenance activities, repairs, and parts inventory.
\n- Provide technical support to truck operators on vehicle systems, operation procedures, and troubleshooting techniques.
\n- Stay updated on industry trends, advancements in technology, and regulatory requirements related to autonomous and Class 8 vehicles.
\n- Ensure compliance with all relevant safety standards, regulations, and company policies.
\n- Support Waabi’s safety culture.
\n
\n
\nQualifications:
\n\n- High school diploma or equivalent; technical certification or vocational training in automotive technology, electrical engineering, or related field is preferred.
\n- Proven experience as a technician or mechanic, preferably in the automotive, heavy-duty trucking, or technology industry. ASE certifications are highly desirable.
\n- Strong diagnostic and problem-solving skills, with the ability to troubleshoot complex electrical and mechanical systems.
\n- Familiarity with truck maintenance and repair.
\n- Familiarity with autonomous driving technology, including sensors, cameras, GPS, and onboard computer systems, is highly desirable.
\n- Proficiency in using diagnostic tools, software, and equipment for vehicle maintenance and repair.
\n- Excellent communication skills and ability to work effectively in a team environment.
\n- Willingness to work flexible hours, including evenings and weekends, and travel as needed.
\n- Commitment to safety, attention to detail, and adherence to protocols and procedures.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
\nShift Hours:
\n\n- Current shift hours are 11pm to 7:30am and subject to change to support business needs.
\n
","descriptionBodyPlain":"You will…\nConduct regular inspections and maintenance of the Waabi class 8 autonomous trucking fleet to ensure optimal performance and safety.\nDiagnose and troubleshoot technical issues with vehicle mechanical systems, electrical. components, sensors, and other vehicle systems\nPerform repairs and replacements of faulty components or systems, adhering to Waabi developed work instructions, manufacturer guidelines, and safety protocols.\nCollaborate with all teams to provide feedback on technical issues, contribute to continuous improvement efforts, and assist in the development of new features or upgrades.\nMaintain accurate records of maintenance activities, repairs, and parts inventory.\nProvide technical support to truck operators on vehicle systems, operation procedures, and troubleshooting techniques.\nStay updated on industry trends, advancements in technology, and regulatory requirements related to autonomous and Class 8 vehicles.\nEnsure compliance with all relevant safety standards, regulations, and company policies.\nSupport Waabi’s safety culture.\n \nQualifications:\nHigh school diploma or equivalent; technical certification or vocational training in automotive technology, electrical engineering, or related field is preferred.\nProven experience as a technician or mechanic, preferably in the automotive, heavy-duty trucking, or technology industry. ASE certifications are highly desirable.\nStrong diagnostic and problem-solving skills, with the ability to troubleshoot complex electrical and mechanical systems.\nFamiliarity with truck maintenance and repair.\nFamiliarity with autonomous driving technology, including sensors, cameras, GPS, and onboard computer systems, is highly desirable.\nProficiency in using diagnostic tools, software, and equipment for vehicle maintenance and repair.\nExcellent communication skills and ability to work effectively in a team environment.\nWillingness to work flexible hours, including evenings and weekends, and travel as needed.\nCommitment to safety, attention to detail, and adherence to protocols and procedures.\nOpen-minded and collaborative team player with the willingness to help others.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nShift Hours: \nCurrent shift hours are 11pm to 7:30am and subject to change to support business needs. \n","hostedUrl":"https://jobs.lever.co/waabi/6c88edff-7632-45e6-afe0-19bf1704a298","applyUrl":"https://jobs.lever.co/waabi/6c88edff-7632-45e6-afe0-19bf1704a298/apply"},{"additionalPlain":"Perks/Benefits:\nWaabi provides a competitive benefits package that includes:\nCompetitive compensation and equity awards.\nHealth and wellness benefits encompassing Medical, Dental, and Vision coverage \nPaid parental, medical and family care leave.\nGenerous PTO Policy.\nRetirement savings plans including 401(k) or RRSP options.\nHealth savings account contribution options.\nDaily drinks, snacks, and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAdditional benefits are offered and tailored to specific country locations. \nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"Perks/Benefits:
\n\n
Waabi provides a competitive benefits package that includes:
\n
\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy.
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Operations","location":"Dallas, TX","team":"Road Operations","allLocations":["Dallas, TX"]},"createdAt":1787322007343,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will…\nConduct regular inspections and maintenance of the Waabi class 8 autonomous trucking fleet to ensure optimal performance and safety.\nDiagnose and troubleshoot technical issues with vehicle mechanical systems, electrical. components, sensors, and other vehicle systems\nPerform repairs and replacements of faulty components or systems, adhering to Waabi developed work instructions, manufacturer guidelines, and safety protocols.\nCollaborate with all teams to provide feedback on technical issues, contribute to continuous improvement efforts, and assist in the development of new features or upgrades.\nMaintain accurate records of maintenance activities, repairs, and parts inventory.\nProvide technical support to truck operators on vehicle systems, operation procedures, and troubleshooting techniques.\nStay updated on industry trends, advancements in technology, and regulatory requirements related to autonomous and Class 8 vehicles.\nEnsure compliance with all relevant safety standards, regulations, and company policies.\nSupport Waabi’s safety culture.\n \nQualifications:\nHigh school diploma or equivalent; technical certification or vocational training in automotive technology, electrical engineering, or related field is preferred.\nProven experience as a technician or mechanic, preferably in the automotive, heavy-duty trucking, or technology industry. ASE certifications are highly desirable.\nStrong diagnostic and problem-solving skills, with the ability to troubleshoot complex electrical and mechanical systems.\nFamiliarity with truck maintenance and repair.\nFamiliarity with autonomous driving technology, including sensors, cameras, GPS, and onboard computer systems, is highly desirable.\nProficiency in using diagnostic tools, software, and equipment for vehicle maintenance and repair.\nExcellent communication skills and ability to work effectively in a team environment.\nWillingness to work flexible hours, including evenings and weekends, and travel as needed.\nCommitment to safety, attention to detail, and adherence to protocols and procedures.\nOpen-minded and collaborative team player with the willingness to help others.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nShift Hours: \nCurrent shift hours are 11am to 7pm and subject to change to support business needs. \n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will…
\n\n- Conduct regular inspections and maintenance of the Waabi class 8 autonomous trucking fleet to ensure optimal performance and safety.
\n- Diagnose and troubleshoot technical issues with vehicle mechanical systems, electrical. components, sensors, and other vehicle systems
\n- Perform repairs and replacements of faulty components or systems, adhering to Waabi developed work instructions, manufacturer guidelines, and safety protocols.
\n- Collaborate with all teams to provide feedback on technical issues, contribute to continuous improvement efforts, and assist in the development of new features or upgrades.
\n- Maintain accurate records of maintenance activities, repairs, and parts inventory.
\n- Provide technical support to truck operators on vehicle systems, operation procedures, and troubleshooting techniques.
\n- Stay updated on industry trends, advancements in technology, and regulatory requirements related to autonomous and Class 8 vehicles.
\n- Ensure compliance with all relevant safety standards, regulations, and company policies.
\n- Support Waabi’s safety culture.
\n
\n
\nQualifications:
\n\n- High school diploma or equivalent; technical certification or vocational training in automotive technology, electrical engineering, or related field is preferred.
\n- Proven experience as a technician or mechanic, preferably in the automotive, heavy-duty trucking, or technology industry. ASE certifications are highly desirable.
\n- Strong diagnostic and problem-solving skills, with the ability to troubleshoot complex electrical and mechanical systems.
\n- Familiarity with truck maintenance and repair.
\n- Familiarity with autonomous driving technology, including sensors, cameras, GPS, and onboard computer systems, is highly desirable.
\n- Proficiency in using diagnostic tools, software, and equipment for vehicle maintenance and repair.
\n- Excellent communication skills and ability to work effectively in a team environment.
\n- Willingness to work flexible hours, including evenings and weekends, and travel as needed.
\n- Commitment to safety, attention to detail, and adherence to protocols and procedures.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
\nShift Hours:
\n\n- Current shift hours are 11am to 7pm and subject to change to support business needs.
\n
","id":"91b310b8-a286-4476-8326-e7ed044a50be","lists":[],"text":"Autonomous Semi Technician - Swing Shift","country":"US","workplaceType":"onsite","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will…
\n\n- Conduct regular inspections and maintenance of the Waabi class 8 autonomous trucking fleet to ensure optimal performance and safety.
\n- Diagnose and troubleshoot technical issues with vehicle mechanical systems, electrical. components, sensors, and other vehicle systems
\n- Perform repairs and replacements of faulty components or systems, adhering to Waabi developed work instructions, manufacturer guidelines, and safety protocols.
\n- Collaborate with all teams to provide feedback on technical issues, contribute to continuous improvement efforts, and assist in the development of new features or upgrades.
\n- Maintain accurate records of maintenance activities, repairs, and parts inventory.
\n- Provide technical support to truck operators on vehicle systems, operation procedures, and troubleshooting techniques.
\n- Stay updated on industry trends, advancements in technology, and regulatory requirements related to autonomous and Class 8 vehicles.
\n- Ensure compliance with all relevant safety standards, regulations, and company policies.
\n- Support Waabi’s safety culture.
\n
\n
\nQualifications:
\n\n- High school diploma or equivalent; technical certification or vocational training in automotive technology, electrical engineering, or related field is preferred.
\n- Proven experience as a technician or mechanic, preferably in the automotive, heavy-duty trucking, or technology industry. ASE certifications are highly desirable.
\n- Strong diagnostic and problem-solving skills, with the ability to troubleshoot complex electrical and mechanical systems.
\n- Familiarity with truck maintenance and repair.
\n- Familiarity with autonomous driving technology, including sensors, cameras, GPS, and onboard computer systems, is highly desirable.
\n- Proficiency in using diagnostic tools, software, and equipment for vehicle maintenance and repair.
\n- Excellent communication skills and ability to work effectively in a team environment.
\n- Willingness to work flexible hours, including evenings and weekends, and travel as needed.
\n- Commitment to safety, attention to detail, and adherence to protocols and procedures.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
\nShift Hours:
\n\n- Current shift hours are 11am to 7pm and subject to change to support business needs.
\n
","descriptionBodyPlain":"You will…\nConduct regular inspections and maintenance of the Waabi class 8 autonomous trucking fleet to ensure optimal performance and safety.\nDiagnose and troubleshoot technical issues with vehicle mechanical systems, electrical. components, sensors, and other vehicle systems\nPerform repairs and replacements of faulty components or systems, adhering to Waabi developed work instructions, manufacturer guidelines, and safety protocols.\nCollaborate with all teams to provide feedback on technical issues, contribute to continuous improvement efforts, and assist in the development of new features or upgrades.\nMaintain accurate records of maintenance activities, repairs, and parts inventory.\nProvide technical support to truck operators on vehicle systems, operation procedures, and troubleshooting techniques.\nStay updated on industry trends, advancements in technology, and regulatory requirements related to autonomous and Class 8 vehicles.\nEnsure compliance with all relevant safety standards, regulations, and company policies.\nSupport Waabi’s safety culture.\n \nQualifications:\nHigh school diploma or equivalent; technical certification or vocational training in automotive technology, electrical engineering, or related field is preferred.\nProven experience as a technician or mechanic, preferably in the automotive, heavy-duty trucking, or technology industry. ASE certifications are highly desirable.\nStrong diagnostic and problem-solving skills, with the ability to troubleshoot complex electrical and mechanical systems.\nFamiliarity with truck maintenance and repair.\nFamiliarity with autonomous driving technology, including sensors, cameras, GPS, and onboard computer systems, is highly desirable.\nProficiency in using diagnostic tools, software, and equipment for vehicle maintenance and repair.\nExcellent communication skills and ability to work effectively in a team environment.\nWillingness to work flexible hours, including evenings and weekends, and travel as needed.\nCommitment to safety, attention to detail, and adherence to protocols and procedures.\nOpen-minded and collaborative team player with the willingness to help others.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nShift Hours: \nCurrent shift hours are 11am to 7pm and subject to change to support business needs. \n","hostedUrl":"https://jobs.lever.co/waabi/91b310b8-a286-4476-8326-e7ed044a50be","applyUrl":"https://jobs.lever.co/waabi/91b310b8-a286-4476-8326-e7ed044a50be/apply"},{"additionalPlain":"Perks/Benefits:\nWaabi provides a competitive benefits package that includes:\nCompetitive compensation and equity awards.\nHealth and wellness benefits encompassing Medical, Dental, and Vision coverage \nPaid parental, medical and family care leave.\nGenerous PTO Policy.\nRetirement savings plans including 401(k) or RRSP options.\nHealth savings account contribution options.\nDaily drinks, snacks, and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAdditional benefits are offered and tailored to specific country locations. \nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"Perks/Benefits:
\n\n
Waabi provides a competitive benefits package that includes:
\n
\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy.
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Hardware","location":"Pittsburgh, PA","team":"Mechanical Engineering","allLocations":["Pittsburgh, PA"]},"createdAt":1787674163667,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will…\nBe responsible for vehicle and component bringup and R&D support.\nTroubleshoot and root cause various software and hardware faults across different vehicle platforms.\nProvide technical support for software and hardware issues encountered by the autonomous vehicle fleet.\nCollaborate with engineering teams to improve the Waabi Driver’s performance, reduce faults, and enhance testing efficiency.\nCollaborate and communicate across multiple teams in the organization to ensure vehicle performance.\nDevelop and execute on-vehicle test plans to verify functional and interface requirements.\nDocument and report vehicle bringup processes and debugging steps, helping to streamline the bringup process.\nCollaborate with OEMs on occasion to understand communication interfaces on bench and vehicle as per their requirements.\n \nQualifications:\nBachelor in Electrical Engineering, Computer Science, or related field.\nMinimum of 5 years experience demonstrating debugging issues, preferable for autonomous vehicles, robotics, or similarly complex environments.\nStrong, hands on experience with automotive cameras.\nProficiency with sensor data acquisition, processing, and analysis techniques.\nExperience with signal processing, statistics, and machine learning algorithms.\nStrong experience with Linux environments and some scripting languages.\nStrong problem-solving skills and attention to detail\nExcellent written and verbal communication skills.\nAbility to work independently and collaboratively in a fast-paced, dynamic environment.\nOpen-minded and collaborative team player with the willingness to help others.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will…
\n\n- Be responsible for vehicle and component bringup and R&D support.
\n- Troubleshoot and root cause various software and hardware faults across different vehicle platforms.
\n- Provide technical support for software and hardware issues encountered by the autonomous vehicle fleet.
\n- Collaborate with engineering teams to improve the Waabi Driver’s performance, reduce faults, and enhance testing efficiency.
\n- Collaborate and communicate across multiple teams in the organization to ensure vehicle performance.
\n- Develop and execute on-vehicle test plans to verify functional and interface requirements.
\n- Document and report vehicle bringup processes and debugging steps, helping to streamline the bringup process.
\n- Collaborate with OEMs on occasion to understand communication interfaces on bench and vehicle as per their requirements.
\n
\n
\nQualifications:
\n\n- Bachelor in Electrical Engineering, Computer Science, or related field.
\n- Minimum of 5 years experience demonstrating debugging issues, preferable for autonomous vehicles, robotics, or similarly complex environments.
\n- Strong, hands on experience with automotive cameras.
\n- Proficiency with sensor data acquisition, processing, and analysis techniques.
\n- Experience with signal processing, statistics, and machine learning algorithms.
\n- Strong experience with Linux environments and some scripting languages.
\n- Strong problem-solving skills and attention to detail
\n- Excellent written and verbal communication skills.
\n- Ability to work independently and collaboratively in a fast-paced, dynamic environment.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
","id":"84d01cde-e651-473f-a6ca-78e48d9b8401","lists":[],"text":"Bringup Engineer","country":"US","workplaceType":"onsite","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will…
\n\n- Be responsible for vehicle and component bringup and R&D support.
\n- Troubleshoot and root cause various software and hardware faults across different vehicle platforms.
\n- Provide technical support for software and hardware issues encountered by the autonomous vehicle fleet.
\n- Collaborate with engineering teams to improve the Waabi Driver’s performance, reduce faults, and enhance testing efficiency.
\n- Collaborate and communicate across multiple teams in the organization to ensure vehicle performance.
\n- Develop and execute on-vehicle test plans to verify functional and interface requirements.
\n- Document and report vehicle bringup processes and debugging steps, helping to streamline the bringup process.
\n- Collaborate with OEMs on occasion to understand communication interfaces on bench and vehicle as per their requirements.
\n
\n
\nQualifications:
\n\n- Bachelor in Electrical Engineering, Computer Science, or related field.
\n- Minimum of 5 years experience demonstrating debugging issues, preferable for autonomous vehicles, robotics, or similarly complex environments.
\n- Strong, hands on experience with automotive cameras.
\n- Proficiency with sensor data acquisition, processing, and analysis techniques.
\n- Experience with signal processing, statistics, and machine learning algorithms.
\n- Strong experience with Linux environments and some scripting languages.
\n- Strong problem-solving skills and attention to detail
\n- Excellent written and verbal communication skills.
\n- Ability to work independently and collaboratively in a fast-paced, dynamic environment.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
","descriptionBodyPlain":"You will…\nBe responsible for vehicle and component bringup and R&D support.\nTroubleshoot and root cause various software and hardware faults across different vehicle platforms.\nProvide technical support for software and hardware issues encountered by the autonomous vehicle fleet.\nCollaborate with engineering teams to improve the Waabi Driver’s performance, reduce faults, and enhance testing efficiency.\nCollaborate and communicate across multiple teams in the organization to ensure vehicle performance.\nDevelop and execute on-vehicle test plans to verify functional and interface requirements.\nDocument and report vehicle bringup processes and debugging steps, helping to streamline the bringup process.\nCollaborate with OEMs on occasion to understand communication interfaces on bench and vehicle as per their requirements.\n \nQualifications:\nBachelor in Electrical Engineering, Computer Science, or related field.\nMinimum of 5 years experience demonstrating debugging issues, preferable for autonomous vehicles, robotics, or similarly complex environments.\nStrong, hands on experience with automotive cameras.\nProficiency with sensor data acquisition, processing, and analysis techniques.\nExperience with signal processing, statistics, and machine learning algorithms.\nStrong experience with Linux environments and some scripting languages.\nStrong problem-solving skills and attention to detail\nExcellent written and verbal communication skills.\nAbility to work independently and collaboratively in a fast-paced, dynamic environment.\nOpen-minded and collaborative team player with the willingness to help others.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n","hostedUrl":"https://jobs.lever.co/waabi/84d01cde-e651-473f-a6ca-78e48d9b8401","applyUrl":"https://jobs.lever.co/waabi/84d01cde-e651-473f-a6ca-78e48d9b8401/apply"},{"additionalPlain":"The US yearly salary range for this role is: $250,000 - $300,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"The US yearly salary range for this role is: $250,000 - $300,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Commercial","location":"San Francisco, CA","team":"Business Development & Strategy","allLocations":["San Francisco, CA","Remote US"]},"createdAt":1764861466133,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\nDevelop and execute a detailed automotive and partnership strategy aligned with Waabi’s goals.\nBe a key business interface between Waabi and OEM partners and drive negotiations.\nWork cross-functionally with Waabi’s engineering, product, finance, and legal teams to negotiate new deals and execute upon existing contracts.\nBuild, manage and evolve strong partnerships to support Waabi’s business objectives.\nStructure and negotiate partnership agreements with win-win incentives and balanced terms.\nEvaluate and maintain partner engagement by building trusted relationships with partners and developing a thorough understanding of their priorities and challenges.\nConvey business & product requirements in collaboration with technical stakeholders, taking into consideration Waabi’s overall strategy and objectives.\n \nQualifications:\nMS/MBA or Bachelors degree in management, technical, or engineering field with a minimum 10+ years of work experience in business development or strategic partnerships or a similar partner-facing role in the automotive or relevant fields.\nAutomotive experiences and expertise leading and/or partnering with OEM’s - bringing new products to market.\nSolid understanding of business processes and best practices in product strategy and positioning.\nExperience developing new product strategy and the ability to manage multiple products from end to end.\nProven track record of developing strategic partnerships and negotiating agreement terms from initial discussions and relationship management through agreement closing and partner management. \nExcellent verbal and writing skills by setting the right level of context to internal and external stakeholders.\nAbility to communicate directly with senior executives while in a fast-paced, ambiguous environment.\nStrong interpersonal skills to effectively collaborate, influence, build trust and develop meaningful relationships with internal and partner contacts.\nExperience with financial models, negotiations, and creating strategic partnerships.\nStrong analytical skills with the ability to break-down complex technical, contractual and financial issues.\nOpen-minded and collaborative team player with the willingness to help others.\nPassionate about self-driving technologies, building partnerships, and driving results.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will...
\n\n- Develop and execute a detailed automotive and partnership strategy aligned with Waabi’s goals.
\n- Be a key business interface between Waabi and OEM partners and drive negotiations.
\n- Work cross-functionally with Waabi’s engineering, product, finance, and legal teams to negotiate new deals and execute upon existing contracts.
\n- Build, manage and evolve strong partnerships to support Waabi’s business objectives.
\n- Structure and negotiate partnership agreements with win-win incentives and balanced terms.
\n- Evaluate and maintain partner engagement by building trusted relationships with partners and developing a thorough understanding of their priorities and challenges.
\n- Convey business & product requirements in collaboration with technical stakeholders, taking into consideration Waabi’s overall strategy and objectives.
\n
\n
\nQualifications:
\n\n- MS/MBA or Bachelors degree in management, technical, or engineering field with a minimum 10+ years of work experience in business development or strategic partnerships or a similar partner-facing role in the automotive or relevant fields.
\n- Automotive experiences and expertise leading and/or partnering with OEM’s - bringing new products to market.
\n- Solid understanding of business processes and best practices in product strategy and positioning.
\n- Experience developing new product strategy and the ability to manage multiple products from end to end.
\n- Proven track record of developing strategic partnerships and negotiating agreement terms from initial discussions and relationship management through agreement closing and partner management.
\n- Excellent verbal and writing skills by setting the right level of context to internal and external stakeholders.
\n- Ability to communicate directly with senior executives while in a fast-paced, ambiguous environment.
\n- Strong interpersonal skills to effectively collaborate, influence, build trust and develop meaningful relationships with internal and partner contacts.
\n- Experience with financial models, negotiations, and creating strategic partnerships.
\n- Strong analytical skills with the ability to break-down complex technical, contractual and financial issues.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Passionate about self-driving technologies, building partnerships, and driving results.
\n
","id":"a6814f7d-d06d-47cf-bd6b-23dc2d864fad","lists":[],"text":"Director, OEM & Strategic Partnerships","country":"US","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will...
\n\n- Develop and execute a detailed automotive and partnership strategy aligned with Waabi’s goals.
\n- Be a key business interface between Waabi and OEM partners and drive negotiations.
\n- Work cross-functionally with Waabi’s engineering, product, finance, and legal teams to negotiate new deals and execute upon existing contracts.
\n- Build, manage and evolve strong partnerships to support Waabi’s business objectives.
\n- Structure and negotiate partnership agreements with win-win incentives and balanced terms.
\n- Evaluate and maintain partner engagement by building trusted relationships with partners and developing a thorough understanding of their priorities and challenges.
\n- Convey business & product requirements in collaboration with technical stakeholders, taking into consideration Waabi’s overall strategy and objectives.
\n
\n
\nQualifications:
\n\n- MS/MBA or Bachelors degree in management, technical, or engineering field with a minimum 10+ years of work experience in business development or strategic partnerships or a similar partner-facing role in the automotive or relevant fields.
\n- Automotive experiences and expertise leading and/or partnering with OEM’s - bringing new products to market.
\n- Solid understanding of business processes and best practices in product strategy and positioning.
\n- Experience developing new product strategy and the ability to manage multiple products from end to end.
\n- Proven track record of developing strategic partnerships and negotiating agreement terms from initial discussions and relationship management through agreement closing and partner management.
\n- Excellent verbal and writing skills by setting the right level of context to internal and external stakeholders.
\n- Ability to communicate directly with senior executives while in a fast-paced, ambiguous environment.
\n- Strong interpersonal skills to effectively collaborate, influence, build trust and develop meaningful relationships with internal and partner contacts.
\n- Experience with financial models, negotiations, and creating strategic partnerships.
\n- Strong analytical skills with the ability to break-down complex technical, contractual and financial issues.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Passionate about self-driving technologies, building partnerships, and driving results.
\n
","descriptionBodyPlain":"You will...\nDevelop and execute a detailed automotive and partnership strategy aligned with Waabi’s goals.\nBe a key business interface between Waabi and OEM partners and drive negotiations.\nWork cross-functionally with Waabi’s engineering, product, finance, and legal teams to negotiate new deals and execute upon existing contracts.\nBuild, manage and evolve strong partnerships to support Waabi’s business objectives.\nStructure and negotiate partnership agreements with win-win incentives and balanced terms.\nEvaluate and maintain partner engagement by building trusted relationships with partners and developing a thorough understanding of their priorities and challenges.\nConvey business & product requirements in collaboration with technical stakeholders, taking into consideration Waabi’s overall strategy and objectives.\n \nQualifications:\nMS/MBA or Bachelors degree in management, technical, or engineering field with a minimum 10+ years of work experience in business development or strategic partnerships or a similar partner-facing role in the automotive or relevant fields.\nAutomotive experiences and expertise leading and/or partnering with OEM’s - bringing new products to market.\nSolid understanding of business processes and best practices in product strategy and positioning.\nExperience developing new product strategy and the ability to manage multiple products from end to end.\nProven track record of developing strategic partnerships and negotiating agreement terms from initial discussions and relationship management through agreement closing and partner management. \nExcellent verbal and writing skills by setting the right level of context to internal and external stakeholders.\nAbility to communicate directly with senior executives while in a fast-paced, ambiguous environment.\nStrong interpersonal skills to effectively collaborate, influence, build trust and develop meaningful relationships with internal and partner contacts.\nExperience with financial models, negotiations, and creating strategic partnerships.\nStrong analytical skills with the ability to break-down complex technical, contractual and financial issues.\nOpen-minded and collaborative team player with the willingness to help others.\nPassionate about self-driving technologies, building partnerships, and driving results.\n","hostedUrl":"https://jobs.lever.co/waabi/a6814f7d-d06d-47cf-bd6b-23dc2d864fad","applyUrl":"https://jobs.lever.co/waabi/a6814f7d-d06d-47cf-bd6b-23dc2d864fad/apply"},{"additionalPlain":"Perks/Benefits:\nWaabi provides a competitive benefits package that includes:\nCompetitive compensation and equity awards.\nHealth and wellness benefits encompassing Medical, Dental, and Vision coverage \nPaid parental, medical and family care leave.\nGenerous PTO Policy.\nRetirement savings plans including 401(k) or RRSP options.\nHealth savings account contribution options.\nDaily drinks, snacks, and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAdditional benefits are offered and tailored to specific country locations. \nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"Perks/Benefits:
\n\n
Waabi provides a competitive benefits package that includes:
\n
\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy.
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Operations","location":"Dallas, TX","team":"Road Operations","allLocations":["Dallas, TX"]},"createdAt":1787670793735,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWaabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and day shift is the core of that operation.\nThe Dispatcher manages the missions and systems side of daily operations. You orchestrate the assignment of crews, trucks, and trailers, monitor real-time mission execution and fleet stability, and act as the operational nerve center and first line of response, bridging road testing crews, commercial operations, customers, and developers. On day shift you run the highest mission volume we operate, with engineering, triage, mapping, and leadership on shift alongside you. You still make real-time calls, and you have the support to escalate quickly when a call needs it. This role also carries people leadership: you manage Fleet Specialists.\n \nYou will…\nCurate and assign test and commercial missions to ensure optimal fleet utilization and alignment with daily objectives, and pivot as conditions and priorities change.\nMonitor mission execution, autonomy health, and mission status across all active crews to keep testing and commercial runs on plan with minimal downtime.\nOwn the comms desk: maintain your live availability status, keep the desk reachable, hand off coverage deliberately, and answer the Waabi hotline during the shift.\nServe as the first line of response for issues and incidents, provide remote troubleshooting, and partner with the Shift Supervisor when on-the-ground presence is required. Either role may escalate a Priority or Critical event, and both are expected to.\nHold go / no-go authority on whether a truck departs in an unhealthy state, and confirm whether crews may proceed or re-engage after errors, weather, or policy-limit conditions.\nPause autonomy operations when an event is identified as Critical, then notify the Test Operations Lead for verification. Act first; verify after.\nAct as point of contact for Operational Design Domain and policy calls, and raise and track exemption requests for approval.\nInterface with Maps, Release Coordination, Systems and Safety, and Fleet Readiness, and collaborate with developers and triage to troubleshoot system issues and provide feedback.\nMaintain the accuracy of mission records across Jira and the Waabi App, ensure logs are offloaded and missions verified complete before end of shift, and log and categorize delays with reason codes.\nCommunicate with customer facilities, site contacts, and carrier partners, and arrange service recovery for delayed or aborted missions.\nAssign and adjust missions so crews can operate within FMCSA Hours of Service limits.\nLead, coach, and develop Fleet Specialists, including assignments and testing schedules, observation and skills assessment, performance, and final on-road trainee sign-off following review and approval by the Test Operations Lead.\n \nQualifications:\n2+ years of experience in dispatch, fleet operations, mission control, or a highly technical operations center environment.\nDemonstrated ability to lead or supervise others. Direct people-management experience is preferred, as this role carries direct reports.\nLinux, scripting, coding (e.g., Python), or computer terminal experience. Ability to troubleshoot hardware and software errors.\nStrong coordination and problem-solving skills, with proven ability to manage complex real-time workflows and triage competing priorities under pressure.\nFamiliarity with transportation regulations (DOT, FMCSA), particularly Hours of Service, sufficient to plan missions crews can complete compliantly.\nExperience working in a technical or testing environment. Prior autonomous vehicle experience or direct work with engineering teams is a strong plus.\nStrong technical proficiency with fleet management software, dispatch and routing tools, and telematics platforms, and the ability to learn AV troubleshooting tools quickly.\nExcellent written communication. Your written record is the primary handoff to the incoming shift, engineering, and leadership.\nSound judgment under ambiguity and a bias for action, with the ability to make defensible decisions in the moment.\nAble and willing to work the day shift described below, including flexible start and end times, extended shifts of up to approximately 14 hours, weekends, and holidays to support a continuous operation.\nPrior experience running a comms desk or operations center on a shift-based or 24/7 rotation, or as the senior decision-maker on a shift with limited escalation support, is a strong plus.\nDirect customer or shipper communication experience in a time-critical freight environment, and familiarity with Jira, Fleetio, Motive, or comparable platforms, are a plus.\nClass A CDL or hands-on Class 8 operational experience is a plus.\n \nDay Shift Schedule and Flexibility:\nBase shift: 7:00 AM – 5:00 PM CT, based at Waabi’s Lancaster, TX terminal.\nStart and end times may shift. The shift may begin earlier or end later based on commercial and customer demand and when loads need to move. Day shift crews are expected to be flexible.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
Waabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and day shift is the core of that operation.
\n
The Dispatcher manages the missions and systems side of daily operations. You orchestrate the assignment of crews, trucks, and trailers, monitor real-time mission execution and fleet stability, and act as the operational nerve center and first line of response, bridging road testing crews, commercial operations, customers, and developers. On day shift you run the highest mission volume we operate, with engineering, triage, mapping, and leadership on shift alongside you. You still make real-time calls, and you have the support to escalate quickly when a call needs it. This role also carries people leadership: you manage Fleet Specialists.
\n
\n
You will…
\n
\n- Curate and assign test and commercial missions to ensure optimal fleet utilization and alignment with daily objectives, and pivot as conditions and priorities change.
\n- Monitor mission execution, autonomy health, and mission status across all active crews to keep testing and commercial runs on plan with minimal downtime.
\n- Own the comms desk: maintain your live availability status, keep the desk reachable, hand off coverage deliberately, and answer the Waabi hotline during the shift.
\n- Serve as the first line of response for issues and incidents, provide remote troubleshooting, and partner with the Shift Supervisor when on-the-ground presence is required. Either role may escalate a Priority or Critical event, and both are expected to.
\n- Hold go / no-go authority on whether a truck departs in an unhealthy state, and confirm whether crews may proceed or re-engage after errors, weather, or policy-limit conditions.
\n- Pause autonomy operations when an event is identified as Critical, then notify the Test Operations Lead for verification. Act first; verify after.
\n- Act as point of contact for Operational Design Domain and policy calls, and raise and track exemption requests for approval.
\n- Interface with Maps, Release Coordination, Systems and Safety, and Fleet Readiness, and collaborate with developers and triage to troubleshoot system issues and provide feedback.
\n- Maintain the accuracy of mission records across Jira and the Waabi App, ensure logs are offloaded and missions verified complete before end of shift, and log and categorize delays with reason codes.
\n- Communicate with customer facilities, site contacts, and carrier partners, and arrange service recovery for delayed or aborted missions.
\n- Assign and adjust missions so crews can operate within FMCSA Hours of Service limits.
\n- Lead, coach, and develop Fleet Specialists, including assignments and testing schedules, observation and skills assessment, performance, and final on-road trainee sign-off following review and approval by the Test Operations Lead.
\n
\n
\n
Qualifications:
\n
\n- 2+ years of experience in dispatch, fleet operations, mission control, or a highly technical operations center environment.
\n- Demonstrated ability to lead or supervise others. Direct people-management experience is preferred, as this role carries direct reports.
\n- Linux, scripting, coding (e.g., Python), or computer terminal experience. Ability to troubleshoot hardware and software errors.
\n- Strong coordination and problem-solving skills, with proven ability to manage complex real-time workflows and triage competing priorities under pressure.
\n- Familiarity with transportation regulations (DOT, FMCSA), particularly Hours of Service, sufficient to plan missions crews can complete compliantly.
\n- Experience working in a technical or testing environment. Prior autonomous vehicle experience or direct work with engineering teams is a strong plus.
\n- Strong technical proficiency with fleet management software, dispatch and routing tools, and telematics platforms, and the ability to learn AV troubleshooting tools quickly.
\n- Excellent written communication. Your written record is the primary handoff to the incoming shift, engineering, and leadership.
\n- Sound judgment under ambiguity and a bias for action, with the ability to make defensible decisions in the moment.
\n- Able and willing to work the day shift described below, including flexible start and end times, extended shifts of up to approximately 14 hours, weekends, and holidays to support a continuous operation.
\n- Prior experience running a comms desk or operations center on a shift-based or 24/7 rotation, or as the senior decision-maker on a shift with limited escalation support, is a strong plus.
\n- Direct customer or shipper communication experience in a time-critical freight environment, and familiarity with Jira, Fleetio, Motive, or comparable platforms, are a plus.
\n- Class A CDL or hands-on Class 8 operational experience is a plus.
\n
\n
\n
Day Shift Schedule and Flexibility:
Base shift: 7:00 AM – 5:00 PM CT, based at Waabi’s Lancaster, TX terminal.
Start and end times may shift. The shift may begin earlier or end later based on commercial and customer demand and when loads need to move. Day shift crews are expected to be flexible.
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
Waabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and day shift is the core of that operation.
\n
The Dispatcher manages the missions and systems side of daily operations. You orchestrate the assignment of crews, trucks, and trailers, monitor real-time mission execution and fleet stability, and act as the operational nerve center and first line of response, bridging road testing crews, commercial operations, customers, and developers. On day shift you run the highest mission volume we operate, with engineering, triage, mapping, and leadership on shift alongside you. You still make real-time calls, and you have the support to escalate quickly when a call needs it. This role also carries people leadership: you manage Fleet Specialists.
\n
\n
You will…
\n
\n- Curate and assign test and commercial missions to ensure optimal fleet utilization and alignment with daily objectives, and pivot as conditions and priorities change.
\n- Monitor mission execution, autonomy health, and mission status across all active crews to keep testing and commercial runs on plan with minimal downtime.
\n- Own the comms desk: maintain your live availability status, keep the desk reachable, hand off coverage deliberately, and answer the Waabi hotline during the shift.
\n- Serve as the first line of response for issues and incidents, provide remote troubleshooting, and partner with the Shift Supervisor when on-the-ground presence is required. Either role may escalate a Priority or Critical event, and both are expected to.
\n- Hold go / no-go authority on whether a truck departs in an unhealthy state, and confirm whether crews may proceed or re-engage after errors, weather, or policy-limit conditions.
\n- Pause autonomy operations when an event is identified as Critical, then notify the Test Operations Lead for verification. Act first; verify after.
\n- Act as point of contact for Operational Design Domain and policy calls, and raise and track exemption requests for approval.
\n- Interface with Maps, Release Coordination, Systems and Safety, and Fleet Readiness, and collaborate with developers and triage to troubleshoot system issues and provide feedback.
\n- Maintain the accuracy of mission records across Jira and the Waabi App, ensure logs are offloaded and missions verified complete before end of shift, and log and categorize delays with reason codes.
\n- Communicate with customer facilities, site contacts, and carrier partners, and arrange service recovery for delayed or aborted missions.
\n- Assign and adjust missions so crews can operate within FMCSA Hours of Service limits.
\n- Lead, coach, and develop Fleet Specialists, including assignments and testing schedules, observation and skills assessment, performance, and final on-road trainee sign-off following review and approval by the Test Operations Lead.
\n
\n
\n
Qualifications:
\n
\n- 2+ years of experience in dispatch, fleet operations, mission control, or a highly technical operations center environment.
\n- Demonstrated ability to lead or supervise others. Direct people-management experience is preferred, as this role carries direct reports.
\n- Linux, scripting, coding (e.g., Python), or computer terminal experience. Ability to troubleshoot hardware and software errors.
\n- Strong coordination and problem-solving skills, with proven ability to manage complex real-time workflows and triage competing priorities under pressure.
\n- Familiarity with transportation regulations (DOT, FMCSA), particularly Hours of Service, sufficient to plan missions crews can complete compliantly.
\n- Experience working in a technical or testing environment. Prior autonomous vehicle experience or direct work with engineering teams is a strong plus.
\n- Strong technical proficiency with fleet management software, dispatch and routing tools, and telematics platforms, and the ability to learn AV troubleshooting tools quickly.
\n- Excellent written communication. Your written record is the primary handoff to the incoming shift, engineering, and leadership.
\n- Sound judgment under ambiguity and a bias for action, with the ability to make defensible decisions in the moment.
\n- Able and willing to work the day shift described below, including flexible start and end times, extended shifts of up to approximately 14 hours, weekends, and holidays to support a continuous operation.
\n- Prior experience running a comms desk or operations center on a shift-based or 24/7 rotation, or as the senior decision-maker on a shift with limited escalation support, is a strong plus.
\n- Direct customer or shipper communication experience in a time-critical freight environment, and familiarity with Jira, Fleetio, Motive, or comparable platforms, are a plus.
\n- Class A CDL or hands-on Class 8 operational experience is a plus.
\n
\n
\n
Day Shift Schedule and Flexibility:
Base shift: 7:00 AM – 5:00 PM CT, based at Waabi’s Lancaster, TX terminal.
Start and end times may shift. The shift may begin earlier or end later based on commercial and customer demand and when loads need to move. Day shift crews are expected to be flexible.
\n
Perks/Benefits:
\n\n
Waabi provides a competitive benefits package that includes:
\n
\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy.
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Operations","location":"Dallas, TX","team":"Road Operations","allLocations":["Dallas, TX"]},"createdAt":1787582466530,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWaabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and we are standing up a night shift to meet our commercial customers where they are.\nThe Dispatcher manages the missions and systems side of daily operations. You orchestrate the assignment of crews, trucks, and trailers, monitor real-time mission execution and fleet stability, and act as the operational nerve center and first line of response, bridging road testing crews, commercial operations, customers, and developers. On night shift you are the Dispatcher on duty, working alongside the night Shift Supervisor while engineering, triage, and leadership largely work day hours, so you will make more calls independently than your day shift counterpart. This role also carries people leadership: you manage Fleet Specialists.\nYou will…\nCurate and assign test and commercial missions to ensure optimal fleet utilization and alignment with nightly objectives, and pivot as conditions and priorities change.\nMonitor mission execution, autonomy health, and mission status across all active crews to keep testing and commercial runs on plan with minimal downtime.\nOwn the comms desk: maintain your live availability status, keep the desk reachable, hand off coverage deliberately, and answer the Waabi hotline during the shift.\nServe as the first line of response for issues and incidents, provide remote troubleshooting, and partner with the Shift Supervisor when on-the-ground presence is required. Either role may escalate a Priority or Critical event, and both are expected to.\nHold go / no-go authority on whether a truck departs in an unhealthy state, and confirm whether crews may proceed or re-engage after errors, weather, or policy-limit conditions.\nPause autonomy operations when an event is identified as Critical, then notify the Test Operations Lead for verification. Act first; verify after.\nAct as point of contact for Operational Design Domain and policy calls, and raise and track exemption requests for approval.\nInterface with Maps, Release Coordination, Systems and Safety, and Fleet Readiness, and collaborate with developers and triage to troubleshoot system issues and provide feedback.\nMaintain the accuracy of mission records across Jira and the Waabi App, ensure logs are offloaded and missions verified complete before end of shift, and log and categorize delays with reason codes.\nCommunicate with customer facilities, site contacts, and carrier partners overnight, and arrange service recovery for delayed or aborted missions.\nAssign and adjust missions so crews can operate within FMCSA Hours of Service limits.\nLead, coach, and develop Fleet Specialists, including assignments and testing schedules, observation and skills assessment, performance, and final on-road trainee sign-off following review and approval by the Test Operations Lead.\n \nQualifications:\n2+ years of experience in dispatch, fleet operations, mission control, or a highly technical operations center environment.\nDemonstrated ability to lead or supervise others. Direct people-management experience is preferred, as this role carries direct reports.\nLinux, scripting, coding (e.g., Python), or computer terminal experience. Ability to troubleshoot hardware and software errors.\nStrong coordination and problem-solving skills, with proven ability to manage complex real-time workflows and triage competing priorities under pressure.\nFamiliarity with transportation regulations (DOT, FMCSA), particularly Hours of Service, sufficient to plan missions crews can complete compliantly.\nExperience working in a technical or testing environment. Prior autonomous vehicle experience or direct work with engineering teams is a strong plus.\nStrong technical proficiency with fleet management software, dispatch and routing tools, and telematics platforms, and the ability to learn AV troubleshooting tools quickly.\nExcellent written communication. Overnight, your written record is the primary handoff to day shift, engineering, and leadership.\nSound judgment under ambiguity and a bias for action, with the ability to make defensible decisions overnight with limited support on site.\nAble and willing to work the night shift described below, including flexible start and end times, extended shifts of up to approximately 14 hours, weekends, and holidays to support a continuous operation.\nPrior experience running a comms desk or operations center on an overnight or 24/7 rotation, or as the senior decision-maker on a shift with limited escalation support, is a strong plus.\nDirect customer or shipper communication experience in a time-critical freight environment, and familiarity with Jira, Fleetio, Motive, or comparable platforms, are a plus.\nClass A CDL or hands-on Class 8 operational experience is a plus.\n \nNight Shift Schedule and Flexibility:\nBase shift: 11:00 PM – 7:30 AM CT, based at Waabi’s Lancaster, TX terminal.\nStart and end times may shift. The shift may begin and end a few hours later and, less commonly, a few hours earlier, based on commercial and customer demand and when loads need to move. Night shift crews are expected to be as flexible as day shift crews.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
Waabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and we are standing up a night shift to meet our commercial customers where they are.
\n
The Dispatcher manages the missions and systems side of daily operations. You orchestrate the assignment of crews, trucks, and trailers, monitor real-time mission execution and fleet stability, and act as the operational nerve center and first line of response, bridging road testing crews, commercial operations, customers, and developers. On night shift you are the Dispatcher on duty, working alongside the night Shift Supervisor while engineering, triage, and leadership largely work day hours, so you will make more calls independently than your day shift counterpart. This role also carries people leadership: you manage Fleet Specialists.
\n
You will…
\n
\n- Curate and assign test and commercial missions to ensure optimal fleet utilization and alignment with nightly objectives, and pivot as conditions and priorities change.
\n- Monitor mission execution, autonomy health, and mission status across all active crews to keep testing and commercial runs on plan with minimal downtime.
\n- Own the comms desk: maintain your live availability status, keep the desk reachable, hand off coverage deliberately, and answer the Waabi hotline during the shift.
\n- Serve as the first line of response for issues and incidents, provide remote troubleshooting, and partner with the Shift Supervisor when on-the-ground presence is required. Either role may escalate a Priority or Critical event, and both are expected to.
\n- Hold go / no-go authority on whether a truck departs in an unhealthy state, and confirm whether crews may proceed or re-engage after errors, weather, or policy-limit conditions.
\n- Pause autonomy operations when an event is identified as Critical, then notify the Test Operations Lead for verification. Act first; verify after.
\n- Act as point of contact for Operational Design Domain and policy calls, and raise and track exemption requests for approval.
\n- Interface with Maps, Release Coordination, Systems and Safety, and Fleet Readiness, and collaborate with developers and triage to troubleshoot system issues and provide feedback.
\n- Maintain the accuracy of mission records across Jira and the Waabi App, ensure logs are offloaded and missions verified complete before end of shift, and log and categorize delays with reason codes.
\n- Communicate with customer facilities, site contacts, and carrier partners overnight, and arrange service recovery for delayed or aborted missions.
\n- Assign and adjust missions so crews can operate within FMCSA Hours of Service limits.
\n- Lead, coach, and develop Fleet Specialists, including assignments and testing schedules, observation and skills assessment, performance, and final on-road trainee sign-off following review and approval by the Test Operations Lead.
\n
\n
\n
Qualifications:
\n
\n- 2+ years of experience in dispatch, fleet operations, mission control, or a highly technical operations center environment.
\n- Demonstrated ability to lead or supervise others. Direct people-management experience is preferred, as this role carries direct reports.
\n- Linux, scripting, coding (e.g., Python), or computer terminal experience. Ability to troubleshoot hardware and software errors.
\n- Strong coordination and problem-solving skills, with proven ability to manage complex real-time workflows and triage competing priorities under pressure.
\n- Familiarity with transportation regulations (DOT, FMCSA), particularly Hours of Service, sufficient to plan missions crews can complete compliantly.
\n- Experience working in a technical or testing environment. Prior autonomous vehicle experience or direct work with engineering teams is a strong plus.
\n- Strong technical proficiency with fleet management software, dispatch and routing tools, and telematics platforms, and the ability to learn AV troubleshooting tools quickly.
\n- Excellent written communication. Overnight, your written record is the primary handoff to day shift, engineering, and leadership.
\n- Sound judgment under ambiguity and a bias for action, with the ability to make defensible decisions overnight with limited support on site.
\n- Able and willing to work the night shift described below, including flexible start and end times, extended shifts of up to approximately 14 hours, weekends, and holidays to support a continuous operation.
\n- Prior experience running a comms desk or operations center on an overnight or 24/7 rotation, or as the senior decision-maker on a shift with limited escalation support, is a strong plus.
\n- Direct customer or shipper communication experience in a time-critical freight environment, and familiarity with Jira, Fleetio, Motive, or comparable platforms, are a plus.
\n- Class A CDL or hands-on Class 8 operational experience is a plus.
\n
\n
\n
Night Shift Schedule and Flexibility:
Base shift: 11:00 PM – 7:30 AM CT, based at Waabi’s Lancaster, TX terminal.
Start and end times may shift. The shift may begin and end a few hours later and, less commonly, a few hours earlier, based on commercial and customer demand and when loads need to move. Night shift crews are expected to be as flexible as day shift crews.
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
Waabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and we are standing up a night shift to meet our commercial customers where they are.
\n
The Dispatcher manages the missions and systems side of daily operations. You orchestrate the assignment of crews, trucks, and trailers, monitor real-time mission execution and fleet stability, and act as the operational nerve center and first line of response, bridging road testing crews, commercial operations, customers, and developers. On night shift you are the Dispatcher on duty, working alongside the night Shift Supervisor while engineering, triage, and leadership largely work day hours, so you will make more calls independently than your day shift counterpart. This role also carries people leadership: you manage Fleet Specialists.
\n
You will…
\n
\n- Curate and assign test and commercial missions to ensure optimal fleet utilization and alignment with nightly objectives, and pivot as conditions and priorities change.
\n- Monitor mission execution, autonomy health, and mission status across all active crews to keep testing and commercial runs on plan with minimal downtime.
\n- Own the comms desk: maintain your live availability status, keep the desk reachable, hand off coverage deliberately, and answer the Waabi hotline during the shift.
\n- Serve as the first line of response for issues and incidents, provide remote troubleshooting, and partner with the Shift Supervisor when on-the-ground presence is required. Either role may escalate a Priority or Critical event, and both are expected to.
\n- Hold go / no-go authority on whether a truck departs in an unhealthy state, and confirm whether crews may proceed or re-engage after errors, weather, or policy-limit conditions.
\n- Pause autonomy operations when an event is identified as Critical, then notify the Test Operations Lead for verification. Act first; verify after.
\n- Act as point of contact for Operational Design Domain and policy calls, and raise and track exemption requests for approval.
\n- Interface with Maps, Release Coordination, Systems and Safety, and Fleet Readiness, and collaborate with developers and triage to troubleshoot system issues and provide feedback.
\n- Maintain the accuracy of mission records across Jira and the Waabi App, ensure logs are offloaded and missions verified complete before end of shift, and log and categorize delays with reason codes.
\n- Communicate with customer facilities, site contacts, and carrier partners overnight, and arrange service recovery for delayed or aborted missions.
\n- Assign and adjust missions so crews can operate within FMCSA Hours of Service limits.
\n- Lead, coach, and develop Fleet Specialists, including assignments and testing schedules, observation and skills assessment, performance, and final on-road trainee sign-off following review and approval by the Test Operations Lead.
\n
\n
\n
Qualifications:
\n
\n- 2+ years of experience in dispatch, fleet operations, mission control, or a highly technical operations center environment.
\n- Demonstrated ability to lead or supervise others. Direct people-management experience is preferred, as this role carries direct reports.
\n- Linux, scripting, coding (e.g., Python), or computer terminal experience. Ability to troubleshoot hardware and software errors.
\n- Strong coordination and problem-solving skills, with proven ability to manage complex real-time workflows and triage competing priorities under pressure.
\n- Familiarity with transportation regulations (DOT, FMCSA), particularly Hours of Service, sufficient to plan missions crews can complete compliantly.
\n- Experience working in a technical or testing environment. Prior autonomous vehicle experience or direct work with engineering teams is a strong plus.
\n- Strong technical proficiency with fleet management software, dispatch and routing tools, and telematics platforms, and the ability to learn AV troubleshooting tools quickly.
\n- Excellent written communication. Overnight, your written record is the primary handoff to day shift, engineering, and leadership.
\n- Sound judgment under ambiguity and a bias for action, with the ability to make defensible decisions overnight with limited support on site.
\n- Able and willing to work the night shift described below, including flexible start and end times, extended shifts of up to approximately 14 hours, weekends, and holidays to support a continuous operation.
\n- Prior experience running a comms desk or operations center on an overnight or 24/7 rotation, or as the senior decision-maker on a shift with limited escalation support, is a strong plus.
\n- Direct customer or shipper communication experience in a time-critical freight environment, and familiarity with Jira, Fleetio, Motive, or comparable platforms, are a plus.
\n- Class A CDL or hands-on Class 8 operational experience is a plus.
\n
\n
\n
Night Shift Schedule and Flexibility:
Base shift: 11:00 PM – 7:30 AM CT, based at Waabi’s Lancaster, TX terminal.
Start and end times may shift. The shift may begin and end a few hours later and, less commonly, a few hours earlier, based on commercial and customer demand and when loads need to move. Night shift crews are expected to be as flexible as day shift crews.
\n
\n
The US yearly salary range for this role is: $195,000 - $286,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
\n
\n
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"San Francisco, CA","team":"Autonomy & Algorithms","allLocations":["San Francisco, CA","Toronto, ON","Pittsburgh, PA","Remote US & Canada"]},"createdAt":1777556146839,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWaabi’s Physical AI platform is powered by state of the art ML models which must be deployed efficiently across diverse use-cases, from onboard vehicle inference to large-scale simulation. As the Distillation Lead, you will own the strategy and execution for distillation across Waabi's AI stack, ensuring our most capable models run efficiently in every deployment context. You will partner closely with ML Platform, Infrastructure, Onboard Autonomy, and Simulation teams to deliver compressed models that meet the performance requirements of both real-time onboard systems and high-throughput simulation pipelines.\n \nYou will…\nDefine and drive the technical strategy for model distillation and compression across Waabi's AI stack — spanning perception, world models, and planning — with an eye toward both onboard deployment and simulation use-cases.\nDesign, implement, and scale state-of-the-art distillation and efficiency pipelines, which may include: \nDistillation for generative models (diffusion, autoregressive, flow-matching, video models)\nQuantization-aware training (QAT) and post-training quantization (PTQ)\nKnowledge distillation (feature-level, response-based, and relation-based)\nStructured and unstructured pruning and sparsification\nLow-rank factorization and efficient architecture design\nSpeculative decoding and other inference-time efficiency techniques\nCollaborate closely with ML Platform, Infrastructure, Onboard, Autonomy, and Simulation teams to integrate compressed models into production pipelines and meet latency, memory, and throughput targets across deployment contexts.\nDefine rigorous benchmarks and evaluation frameworks to characterize efficiency vs. quality trade-offs across models and hardware targets.\nMentor and guide researchers and engineers working in the distillation and model efficiency space, setting a high technical bar and fostering a culture of rigorous experimentation.\nChampion best practices for model compression across the organization; disseminate knowledge through internal design reviews, documentation, and technical talks.\nStay at the cutting edge of model efficiency research; contribute to the broader scientific community through publications and open-source contributions.\n \nQualifications:\nDeep distillation expertise: You have extensive hands-on experience designing and implementing distillation, quantization, pruning, and model compression techniques for large-scale neural networks, with demonstrated impact in production settings.\nStrong research and engineering foundation: A Bachelor's or Master's degree in Machine Learning, Computer Vision, Robotics, or a related field, or equivalent industry experience; relevant hands-on experience in model distillation and efficiency is what matters most. Expert Python and PyTorch (or JAX) skills with experience in large-scale distributed training.\nTechnical leadership: You have a proven track record of setting technical direction and driving projects from conception to production. You inspire and elevate those around you through deep technical expertise and mentorship.\nCross-functional collaboration: You have experience working closely with infrastructure, platform, and autonomy teams to deploy compressed models under real engineering constraints.\nClear communicator: You can communicate complex technical trade-offs clearly to diverse audiences and drive alignment across research and engineering teams.\n \nBonus:\nExperience with hardware-aware optimization (TensorRT, ONNX, custom CUDA kernels, hardware-specific quantization).\nPublications at top-tier ML/CV venues (NeurIPS, ICML, CVPR, ICLR, ECCV) in model compression, efficient deep learning, or related areas.\nExperience distilling large generative models (diffusion models, LLMs, VLMs, or video models).\nBackground in autonomous vehicles or robotics.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
Waabi’s Physical AI platform is powered by state of the art ML models which must be deployed efficiently across diverse use-cases, from onboard vehicle inference to large-scale simulation. As the Distillation Lead, you will own the strategy and execution for distillation across Waabi's AI stack, ensuring our most capable models run efficiently in every deployment context. You will partner closely with ML Platform, Infrastructure, Onboard Autonomy, and Simulation teams to deliver compressed models that meet the performance requirements of both real-time onboard systems and high-throughput simulation pipelines.
\n
\n\n
You will…
\n
\n- Define and drive the technical strategy for model distillation and compression across Waabi's AI stack — spanning perception, world models, and planning — with an eye toward both onboard deployment and simulation use-cases.
\n- Design, implement, and scale state-of-the-art distillation and efficiency pipelines, which may include:\n
\n- Distillation for generative models (diffusion, autoregressive, flow-matching, video models)
\n- Quantization-aware training (QAT) and post-training quantization (PTQ)
\n- Knowledge distillation (feature-level, response-based, and relation-based)
\n- Structured and unstructured pruning and sparsification
\n- Low-rank factorization and efficient architecture design
\n- Speculative decoding and other inference-time efficiency techniques
\n
\n \n- Collaborate closely with ML Platform, Infrastructure, Onboard, Autonomy, and Simulation teams to integrate compressed models into production pipelines and meet latency, memory, and throughput targets across deployment contexts.
\n- Define rigorous benchmarks and evaluation frameworks to characterize efficiency vs. quality trade-offs across models and hardware targets.
\n- Mentor and guide researchers and engineers working in the distillation and model efficiency space, setting a high technical bar and fostering a culture of rigorous experimentation.
\n- Champion best practices for model compression across the organization; disseminate knowledge through internal design reviews, documentation, and technical talks.
\n- Stay at the cutting edge of model efficiency research; contribute to the broader scientific community through publications and open-source contributions.
\n
\n
\n
Qualifications:
\n
\n- Deep distillation expertise: You have extensive hands-on experience designing and implementing distillation, quantization, pruning, and model compression techniques for large-scale neural networks, with demonstrated impact in production settings.
\n- Strong research and engineering foundation: A Bachelor's or Master's degree in Machine Learning, Computer Vision, Robotics, or a related field, or equivalent industry experience; relevant hands-on experience in model distillation and efficiency is what matters most. Expert Python and PyTorch (or JAX) skills with experience in large-scale distributed training.
\n- Technical leadership: You have a proven track record of setting technical direction and driving projects from conception to production. You inspire and elevate those around you through deep technical expertise and mentorship.
\n- Cross-functional collaboration: You have experience working closely with infrastructure, platform, and autonomy teams to deploy compressed models under real engineering constraints.
\n- Clear communicator: You can communicate complex technical trade-offs clearly to diverse audiences and drive alignment across research and engineering teams.
\n
\n
\n
Bonus:
\n
\n- Experience with hardware-aware optimization (TensorRT, ONNX, custom CUDA kernels, hardware-specific quantization).
\n- Publications at top-tier ML/CV venues (NeurIPS, ICML, CVPR, ICLR, ECCV) in model compression, efficient deep learning, or related areas.
\n- Experience distilling large generative models (diffusion models, LLMs, VLMs, or video models).
\n- Background in autonomous vehicles or robotics.
\n
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"Waabi’s Physical AI platform is powered by state of the art ML models which must be deployed efficiently across diverse use-cases, from onboard vehicle inference to large-scale simulation. As the Distillation Lead, you will own the strategy and execution for distillation across Waabi's AI stack, ensuring our most capable models run efficiently in every deployment context. You will partner closely with ML Platform, Infrastructure, Onboard Autonomy, and Simulation teams to deliver compressed models that meet the performance requirements of both real-time onboard systems and high-throughput simulation pipelines.
\n
\n\n
You will…
\n
\n- Define and drive the technical strategy for model distillation and compression across Waabi's AI stack — spanning perception, world models, and planning — with an eye toward both onboard deployment and simulation use-cases.
\n- Design, implement, and scale state-of-the-art distillation and efficiency pipelines, which may include:\n
\n- Distillation for generative models (diffusion, autoregressive, flow-matching, video models)
\n- Quantization-aware training (QAT) and post-training quantization (PTQ)
\n- Knowledge distillation (feature-level, response-based, and relation-based)
\n- Structured and unstructured pruning and sparsification
\n- Low-rank factorization and efficient architecture design
\n- Speculative decoding and other inference-time efficiency techniques
\n
\n \n- Collaborate closely with ML Platform, Infrastructure, Onboard, Autonomy, and Simulation teams to integrate compressed models into production pipelines and meet latency, memory, and throughput targets across deployment contexts.
\n- Define rigorous benchmarks and evaluation frameworks to characterize efficiency vs. quality trade-offs across models and hardware targets.
\n- Mentor and guide researchers and engineers working in the distillation and model efficiency space, setting a high technical bar and fostering a culture of rigorous experimentation.
\n- Champion best practices for model compression across the organization; disseminate knowledge through internal design reviews, documentation, and technical talks.
\n- Stay at the cutting edge of model efficiency research; contribute to the broader scientific community through publications and open-source contributions.
\n
\n
\n
Qualifications:
\n
\n- Deep distillation expertise: You have extensive hands-on experience designing and implementing distillation, quantization, pruning, and model compression techniques for large-scale neural networks, with demonstrated impact in production settings.
\n- Strong research and engineering foundation: A Bachelor's or Master's degree in Machine Learning, Computer Vision, Robotics, or a related field, or equivalent industry experience; relevant hands-on experience in model distillation and efficiency is what matters most. Expert Python and PyTorch (or JAX) skills with experience in large-scale distributed training.
\n- Technical leadership: You have a proven track record of setting technical direction and driving projects from conception to production. You inspire and elevate those around you through deep technical expertise and mentorship.
\n- Cross-functional collaboration: You have experience working closely with infrastructure, platform, and autonomy teams to deploy compressed models under real engineering constraints.
\n- Clear communicator: You can communicate complex technical trade-offs clearly to diverse audiences and drive alignment across research and engineering teams.
\n
\n
\n
Bonus:
\n
\n- Experience with hardware-aware optimization (TensorRT, ONNX, custom CUDA kernels, hardware-specific quantization).
\n- Publications at top-tier ML/CV venues (NeurIPS, ICML, CVPR, ICLR, ECCV) in model compression, efficient deep learning, or related areas.
\n- Experience distilling large generative models (diffusion models, LLMs, VLMs, or video models).
\n- Background in autonomous vehicles or robotics.
\n
\n
The US yearly salary range for this role is: $185,000 - $270,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Hardware","location":"Pittsburgh, PA","team":"Embedded Hardware Engineering","allLocations":["Pittsburgh, PA","San Francisco, CA"]},"createdAt":1785871617896,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWaabi builds generative AI for the physical world, starting with autonomous trucks. The hardware behind that intelligence has to be as rigorous as the software — road-ready, manufacturable at scale, and trusted by the OEMs whose trucks it lives in.\nAs our Electrical Engineering Team Lead, you'll own that bridge. You'll guide the team that designs Waabi's custom electronics and carries them from prototype to production, making sure every design is built for the assembly line and meets the exacting standards of our OEM partners and our own safety and functional requirements.\nThis position is open to candidates in both San Francisco & Pittsburgh with the expectations of 4 days onsite.\nYou Will…\nLead the team. Guide and mentor a group of electrical engineers working on high-performance embedded compute and robust power distribution. Set technical direction and help people do the best work of their careers.\nDesign for scale. Drive Design for Manufacturability (DFM) and Design for Testability (DFT) across every hardware iteration, moving from prototype toward zero-defect mass production.\nOwn the CM relationship. Serve as the primary technical interface with our contract manufacturers — running NPI (New Product Introduction) cycles, conducting line audits, and clearing production bottlenecks.\nPartner with our OEMs. Be the technical face of Waabi to our OEM partners, translating their supplier requirements into engineering specifications and making sure our hardware integrates cleanly into their vehicle platforms.\nUphold functional safety and quality. Ensure electrical systems meet automotive standards such as ISO 26262 and AEC-Q100, and maintain a roadmap for long-term reliability in the field.\n\nQualifications\nBS/MS in Electrical Engineering or a related field, or equivalent hands-on experience.\n10+ years in hardware development, including time leading or mentoring engineers. (Formal management experience is a plus, not a prerequisite — we care that you can grow a team.)\nDeep experience with complex PCB design, high-speed signaling, and the thermal challenges of AV compute platforms.\nA strong grasp of power distribution and DC-DC conversion for high-performance compute and sensor loads, plus a clear understanding of how that hardware interfaces with the vehicle's power architecture.\nFluency with the automotive production world — you know PPAP, APQP, and what automotive-grade reliability actually demands.\n\nNice-to-haves\nDirect experience owning a CM or OEM technical relationship through an NPI cycle.\nHands-on functional-safety work under ISO 26262.\nComfort moving between the lab bench and the high-level roadmap — happy to debug hardware yourself, and able to step back and set direction.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
Waabi builds generative AI for the physical world, starting with autonomous trucks. The hardware behind that intelligence has to be as rigorous as the software — road-ready, manufacturable at scale, and trusted by the OEMs whose trucks it lives in.
\n
As our Electrical Engineering Team Lead, you'll own that bridge. You'll guide the team that designs Waabi's custom electronics and carries them from prototype to production, making sure every design is built for the assembly line and meets the exacting standards of our OEM partners and our own safety and functional requirements.
\n
This position is open to candidates in both San Francisco & Pittsburgh with the expectations of 4 days onsite.
\n
You Will…
\n
\n- Lead the team. Guide and mentor a group of electrical engineers working on high-performance embedded compute and robust power distribution. Set technical direction and help people do the best work of their careers.
\n- Design for scale. Drive Design for Manufacturability (DFM) and Design for Testability (DFT) across every hardware iteration, moving from prototype toward zero-defect mass production.
\n- Own the CM relationship. Serve as the primary technical interface with our contract manufacturers — running NPI (New Product Introduction) cycles, conducting line audits, and clearing production bottlenecks.
\n- Partner with our OEMs. Be the technical face of Waabi to our OEM partners, translating their supplier requirements into engineering specifications and making sure our hardware integrates cleanly into their vehicle platforms.
\n- Uphold functional safety and quality. Ensure electrical systems meet automotive standards such as ISO 26262 and AEC-Q100, and maintain a roadmap for long-term reliability in the field.
\n
\n
Qualifications
\n
\n- BS/MS in Electrical Engineering or a related field, or equivalent hands-on experience.
\n- 10+ years in hardware development, including time leading or mentoring engineers. (Formal management experience is a plus, not a prerequisite — we care that you can grow a team.)
\n- Deep experience with complex PCB design, high-speed signaling, and the thermal challenges of AV compute platforms.
\n- A strong grasp of power distribution and DC-DC conversion for high-performance compute and sensor loads, plus a clear understanding of how that hardware interfaces with the vehicle's power architecture.
\n- Fluency with the automotive production world — you know PPAP, APQP, and what automotive-grade reliability actually demands.
\n
\n
Nice-to-haves
\n
\n- Direct experience owning a CM or OEM technical relationship through an NPI cycle.
\n- Hands-on functional-safety work under ISO 26262.
\n- Comfort moving between the lab bench and the high-level roadmap — happy to debug hardware yourself, and able to step back and set direction.
\n
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
Waabi builds generative AI for the physical world, starting with autonomous trucks. The hardware behind that intelligence has to be as rigorous as the software — road-ready, manufacturable at scale, and trusted by the OEMs whose trucks it lives in.
\n
As our Electrical Engineering Team Lead, you'll own that bridge. You'll guide the team that designs Waabi's custom electronics and carries them from prototype to production, making sure every design is built for the assembly line and meets the exacting standards of our OEM partners and our own safety and functional requirements.
\n
This position is open to candidates in both San Francisco & Pittsburgh with the expectations of 4 days onsite.
\n
You Will…
\n
\n- Lead the team. Guide and mentor a group of electrical engineers working on high-performance embedded compute and robust power distribution. Set technical direction and help people do the best work of their careers.
\n- Design for scale. Drive Design for Manufacturability (DFM) and Design for Testability (DFT) across every hardware iteration, moving from prototype toward zero-defect mass production.
\n- Own the CM relationship. Serve as the primary technical interface with our contract manufacturers — running NPI (New Product Introduction) cycles, conducting line audits, and clearing production bottlenecks.
\n- Partner with our OEMs. Be the technical face of Waabi to our OEM partners, translating their supplier requirements into engineering specifications and making sure our hardware integrates cleanly into their vehicle platforms.
\n- Uphold functional safety and quality. Ensure electrical systems meet automotive standards such as ISO 26262 and AEC-Q100, and maintain a roadmap for long-term reliability in the field.
\n
\n
Qualifications
\n
\n- BS/MS in Electrical Engineering or a related field, or equivalent hands-on experience.
\n- 10+ years in hardware development, including time leading or mentoring engineers. (Formal management experience is a plus, not a prerequisite — we care that you can grow a team.)
\n- Deep experience with complex PCB design, high-speed signaling, and the thermal challenges of AV compute platforms.
\n- A strong grasp of power distribution and DC-DC conversion for high-performance compute and sensor loads, plus a clear understanding of how that hardware interfaces with the vehicle's power architecture.
\n- Fluency with the automotive production world — you know PPAP, APQP, and what automotive-grade reliability actually demands.
\n
\n
Nice-to-haves
\n
\n- Direct experience owning a CM or OEM technical relationship through an NPI cycle.
\n- Hands-on functional-safety work under ISO 26262.
\n- Comfort moving between the lab bench and the high-level roadmap — happy to debug hardware yourself, and able to step back and set direction.
\n
\n
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Operations","location":"Dallas, TX","team":"Road Operations","allLocations":["Dallas, TX"]},"createdAt":1737681612452,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWaabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and day shift is the core of that operation.\nThe Fleet Specialist is Waabi’s right-seat software operator: the person who makes the autonomous system ready to run, watches how it behaves in the real world, and turns what happens on the road into information our engineers can act on. On day shift you work at the highest mission volume we run, with engineering, triage, and mapping partners on shift alongside you. This role suits someone genuinely curious about how the system works, who works a problem thoroughly before escalating and knows when escalating is the right call, and who documents well enough that the next shift and the development teams can pick up exactly where you left off.\n \nYou will…\nPrepare vehicle systems for manual and autonomous missions: verify the AV release, map name and version, and vehicle compute and controller firmware, update and launch the mission container configuration, and confirm trailer weight and load ID.\nSend, launch, hold, and end missions in the Waabi App, Jira, and the Linux terminal, and confirm mission data has been offloaded before closing out a mission.\nMonitor vehicle and autonomy system status from the front right seat, including Foxglove visualizations, and relay system state and upcoming vehicle intent to the Vehicle Operator.\nCall for a disengagement whenever system information cannot be relayed quickly enough to keep the maneuver safe. Every crew member is empowered to make that call.\nAnnotate on-road events with specific, descriptive context and categorize disengagements under Waabi’s Safety Risk, Stranding Risk, and Reputational Risk framework.\nTrack and report mission performance including takeovers, dropouts, troubleshooting, and delays, maintaining the standard mission thread format.\nComplete AV stack pre-trip and post-trip documentation with close-up sensor and hardware photography, and escalate hardware conditions that were not resolved on the prior shift.\nManage data drives: check out the required number for the mission profile plus contingency, verify each drive connects, and confirm logs are offloaded.\nExecute periodic calibration and static validation collects to procedure and document them to the standard template.\nCheck conditions against the Operational Design Domain and verify with Dispatch before engaging or re-engaging near a policy limit.\nServe as spotter for backing maneuvers, apply Get Out And Look (G.O.A.L.), and work in parallel with the Vehicle Operator on inspection and hook-up so the crew makes gate time.\nThe role requires the ability to move around, under, alongside, and climb on a Class 8 tractor and trailer on scaffolding, stairs, and/or ladder to inspect and photograph sensors and hardware, and to handle data drives and cabling.\nPost accurate, timely shift status in Slack, maintain 5-S standards in the bays and garage, and brief Vehicle Operators on software and truck behavior changes before each mission.\nQualifications:\nHigh school diploma or equivalent required.\nPrior experience in a related operations, logistics, technical support, or vehicle testing role preferred.\nTechnical aptitude is central to this role. Comfort working at a command line — container logs, device resets, fault handling — and an interest in understanding the compute and sensor systems on the truck.\nStrong written communication and a high standard for documentation. Much of this role is judged on the quality of the record you leave behind.\nStrong attention to detail and the ability to follow a procedure exactly under time pressure.\nAbility to work in a fast-paced, frequently changing environment where priorities and schedules move.\nAble and willing to work the day shift described below, including flexible start and end times and extended, potentially consecutive shifts of up to approximately 14 hours (following DOT regulations), plus weekend, holiday, and occasional overnight travel.\nAbility to travel to support out-of-area missions, scouting, and testing.\nBasic computer skills and the ability to learn Waabi’s mission, fleet, and inspection tooling quickly.\nPassionate about self-driving technology, solving hard problems, and creating innovative solutions.\nPrevious autonomous vehicle, robotics, or vehicle testing experience, experience troubleshooting computer, network, or embedded systems, and prior experience in a shift-based or 24/7 operation are all a strong plus.\nEnhanced Pre-trip Inspector (EIP) certification, or interest in becoming certified, is a plus.\n \nDay Shift Schedule and Flexibility:\nBase shift: 7:00 AM – 5:00 PM CT, based at Waabi’s Lancaster, TX terminal.\nStart and end times may shift. The shift may begin earlier or end later based on commercial and customer demand and when loads need to move. Day shift crews are expected to be flexible.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
Waabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and day shift is the core of that operation.
\n
The Fleet Specialist is Waabi’s right-seat software operator: the person who makes the autonomous system ready to run, watches how it behaves in the real world, and turns what happens on the road into information our engineers can act on. On day shift you work at the highest mission volume we run, with engineering, triage, and mapping partners on shift alongside you. This role suits someone genuinely curious about how the system works, who works a problem thoroughly before escalating and knows when escalating is the right call, and who documents well enough that the next shift and the development teams can pick up exactly where you left off.
\n
\n
You will…
\n
\n- Prepare vehicle systems for manual and autonomous missions: verify the AV release, map name and version, and vehicle compute and controller firmware, update and launch the mission container configuration, and confirm trailer weight and load ID.
\n- Send, launch, hold, and end missions in the Waabi App, Jira, and the Linux terminal, and confirm mission data has been offloaded before closing out a mission.
\n- Monitor vehicle and autonomy system status from the front right seat, including Foxglove visualizations, and relay system state and upcoming vehicle intent to the Vehicle Operator.
\n- Call for a disengagement whenever system information cannot be relayed quickly enough to keep the maneuver safe. Every crew member is empowered to make that call.
\n- Annotate on-road events with specific, descriptive context and categorize disengagements under Waabi’s Safety Risk, Stranding Risk, and Reputational Risk framework.
\n- Track and report mission performance including takeovers, dropouts, troubleshooting, and delays, maintaining the standard mission thread format.
\n- Complete AV stack pre-trip and post-trip documentation with close-up sensor and hardware photography, and escalate hardware conditions that were not resolved on the prior shift.
\n- Manage data drives: check out the required number for the mission profile plus contingency, verify each drive connects, and confirm logs are offloaded.
\n- Execute periodic calibration and static validation collects to procedure and document them to the standard template.
\n- Check conditions against the Operational Design Domain and verify with Dispatch before engaging or re-engaging near a policy limit.
\n- Serve as spotter for backing maneuvers, apply Get Out And Look (G.O.A.L.), and work in parallel with the Vehicle Operator on inspection and hook-up so the crew makes gate time.
\n- The role requires the ability to move around, under, alongside, and climb on a Class 8 tractor and trailer on scaffolding, stairs, and/or ladder to inspect and photograph sensors and hardware, and to handle data drives and cabling.
\n- Post accurate, timely shift status in Slack, maintain 5-S standards in the bays and garage, and brief Vehicle Operators on software and truck behavior changes before each mission.
\n
\n
Qualifications:
\n
\n- High school diploma or equivalent required.
\n- Prior experience in a related operations, logistics, technical support, or vehicle testing role preferred.
\n- Technical aptitude is central to this role. Comfort working at a command line — container logs, device resets, fault handling — and an interest in understanding the compute and sensor systems on the truck.
\n- Strong written communication and a high standard for documentation. Much of this role is judged on the quality of the record you leave behind.
\n- Strong attention to detail and the ability to follow a procedure exactly under time pressure.
\n- Ability to work in a fast-paced, frequently changing environment where priorities and schedules move.
\n- Able and willing to work the day shift described below, including flexible start and end times and extended, potentially consecutive shifts of up to approximately 14 hours (following DOT regulations), plus weekend, holiday, and occasional overnight travel.
\n- Ability to travel to support out-of-area missions, scouting, and testing.
\n- Basic computer skills and the ability to learn Waabi’s mission, fleet, and inspection tooling quickly.
\n- Passionate about self-driving technology, solving hard problems, and creating innovative solutions.
\n- Previous autonomous vehicle, robotics, or vehicle testing experience, experience troubleshooting computer, network, or embedded systems, and prior experience in a shift-based or 24/7 operation are all a strong plus.
\n- Enhanced Pre-trip Inspector (EIP) certification, or interest in becoming certified, is a plus.
\n
\n
\n
Day Shift Schedule and Flexibility:
Base shift: 7:00 AM – 5:00 PM CT, based at Waabi’s Lancaster, TX terminal.
Start and end times may shift. The shift may begin earlier or end later based on commercial and customer demand and when loads need to move. Day shift crews are expected to be flexible.
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
Waabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and day shift is the core of that operation.
\n
The Fleet Specialist is Waabi’s right-seat software operator: the person who makes the autonomous system ready to run, watches how it behaves in the real world, and turns what happens on the road into information our engineers can act on. On day shift you work at the highest mission volume we run, with engineering, triage, and mapping partners on shift alongside you. This role suits someone genuinely curious about how the system works, who works a problem thoroughly before escalating and knows when escalating is the right call, and who documents well enough that the next shift and the development teams can pick up exactly where you left off.
\n
\n
You will…
\n
\n- Prepare vehicle systems for manual and autonomous missions: verify the AV release, map name and version, and vehicle compute and controller firmware, update and launch the mission container configuration, and confirm trailer weight and load ID.
\n- Send, launch, hold, and end missions in the Waabi App, Jira, and the Linux terminal, and confirm mission data has been offloaded before closing out a mission.
\n- Monitor vehicle and autonomy system status from the front right seat, including Foxglove visualizations, and relay system state and upcoming vehicle intent to the Vehicle Operator.
\n- Call for a disengagement whenever system information cannot be relayed quickly enough to keep the maneuver safe. Every crew member is empowered to make that call.
\n- Annotate on-road events with specific, descriptive context and categorize disengagements under Waabi’s Safety Risk, Stranding Risk, and Reputational Risk framework.
\n- Track and report mission performance including takeovers, dropouts, troubleshooting, and delays, maintaining the standard mission thread format.
\n- Complete AV stack pre-trip and post-trip documentation with close-up sensor and hardware photography, and escalate hardware conditions that were not resolved on the prior shift.
\n- Manage data drives: check out the required number for the mission profile plus contingency, verify each drive connects, and confirm logs are offloaded.
\n- Execute periodic calibration and static validation collects to procedure and document them to the standard template.
\n- Check conditions against the Operational Design Domain and verify with Dispatch before engaging or re-engaging near a policy limit.
\n- Serve as spotter for backing maneuvers, apply Get Out And Look (G.O.A.L.), and work in parallel with the Vehicle Operator on inspection and hook-up so the crew makes gate time.
\n- The role requires the ability to move around, under, alongside, and climb on a Class 8 tractor and trailer on scaffolding, stairs, and/or ladder to inspect and photograph sensors and hardware, and to handle data drives and cabling.
\n- Post accurate, timely shift status in Slack, maintain 5-S standards in the bays and garage, and brief Vehicle Operators on software and truck behavior changes before each mission.
\n
\n
Qualifications:
\n
\n- High school diploma or equivalent required.
\n- Prior experience in a related operations, logistics, technical support, or vehicle testing role preferred.
\n- Technical aptitude is central to this role. Comfort working at a command line — container logs, device resets, fault handling — and an interest in understanding the compute and sensor systems on the truck.
\n- Strong written communication and a high standard for documentation. Much of this role is judged on the quality of the record you leave behind.
\n- Strong attention to detail and the ability to follow a procedure exactly under time pressure.
\n- Ability to work in a fast-paced, frequently changing environment where priorities and schedules move.
\n- Able and willing to work the day shift described below, including flexible start and end times and extended, potentially consecutive shifts of up to approximately 14 hours (following DOT regulations), plus weekend, holiday, and occasional overnight travel.
\n- Ability to travel to support out-of-area missions, scouting, and testing.
\n- Basic computer skills and the ability to learn Waabi’s mission, fleet, and inspection tooling quickly.
\n- Passionate about self-driving technology, solving hard problems, and creating innovative solutions.
\n- Previous autonomous vehicle, robotics, or vehicle testing experience, experience troubleshooting computer, network, or embedded systems, and prior experience in a shift-based or 24/7 operation are all a strong plus.
\n- Enhanced Pre-trip Inspector (EIP) certification, or interest in becoming certified, is a plus.
\n
\n
\n
Day Shift Schedule and Flexibility:
Base shift: 7:00 AM – 5:00 PM CT, based at Waabi’s Lancaster, TX terminal.
Start and end times may shift. The shift may begin earlier or end later based on commercial and customer demand and when loads need to move. Day shift crews are expected to be flexible.
\n
Perks/Benefits:
\n\n
Waabi provides a competitive benefits package that includes:
\n
\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy.
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Operations","location":"Dallas, TX","team":"Road Operations","allLocations":["Dallas, TX"]},"createdAt":1787585278090,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWaabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and we are standing up a night shift to meet our commercial customers where they are.\nThe Fleet Specialist is Waabi’s right-seat software operator: the person who makes the autonomous system ready to run, watches how it behaves in the real world, and turns what happens on the road into information our engineers can act on. On night shift that work carries more weight, because you are often the first technical set of eyes on a problem. This role suits someone genuinely curious about how the system works, who works a problem thoroughly before escalating and knows when escalating is the right call, and who documents well enough that day shift and the development teams can pick up exactly where the night left off.\nYou will…\nPrepare vehicle systems for manual and autonomous missions: verify the AV release, map name and version, and vehicle compute and controller firmware, update and launch the mission container configuration, and confirm trailer weight and load ID.\nSend, launch, hold, and end missions in the Waabi App, Jira, and the Linux terminal, and confirm mission data has been offloaded before closing out a mission.\nMonitor vehicle and autonomy system status from the front right seat, including Foxglove visualizations, and relay system state and upcoming vehicle intent to the Vehicle Operator.\nCall for a disengagement whenever system information cannot be relayed quickly enough to keep the maneuver safe. Every crew member is empowered to make that call.\nAnnotate on-road events with specific, descriptive context and categorize disengagements under Waabi’s Safety Risk, Stranding Risk, and Reputational Risk framework.\nTrack and report mission performance including takeovers, dropouts, troubleshooting, and delays, maintaining the standard mission thread format.\nComplete AV stack pre-trip and post-trip documentation with close-up sensor and hardware photography, and escalate hardware conditions that were not resolved on the prior shift.\nManage data drives: check out the required number for the mission profile plus contingency, verify each drive connects, and confirm logs are offloaded.\nExecute periodic calibration and static validation collects to procedure and document them to the standard template.\nCheck conditions against the Operational Design Domain and verify with Dispatch before engaging or re-engaging near a policy limit.\nServe as spotter for backing maneuvers, apply Get Out And Look (G.O.A.L.), and work in parallel with the Vehicle Operator on inspection and hook-up so the crew makes gate time.\nThe role requires the ability to move around, under, alongside, and climb on a Class 8 tractor and trailer on scaffolding, stairs, and/or ladder to inspect and photograph sensors and hardware, and to handle data drives and cabling.\nPost accurate, timely shift status in Slack, maintain 5-S standards in the bays and garage, and brief Vehicle Operators on software and truck behavior changes before each mission.\nQualifications:\nHigh school diploma or equivalent required.\nPrior experience in a related operations, logistics, technical support, or vehicle testing role preferred.\nTechnical aptitude is central to this role. Comfort working at a command line — container logs, device resets, fault handling — and an interest in understanding the compute and sensor systems on the truck.\nStrong written communication and a high standard for documentation. Much of this role is judged on the quality of the record you leave behind.\nStrong attention to detail and the ability to follow a procedure exactly under time pressure.\nAbility to work in a fast-paced, frequently changing environment where priorities and schedules move.\nAble and willing to work overnight, late night, weekend, and holiday shifts, including extended, potentially consecutive shifts of up to approximately 14 hours (following DOT regulations), and overnight travel.\nAbility to travel to support out-of-area missions, scouting, and testing.\nBasic computer skills and the ability to learn Waabi’s mission, fleet, and inspection tooling quickly.\nPassionate about self-driving technology, solving hard problems, and creating innovative solutions.\nPrevious autonomous vehicle, robotics, or vehicle testing experience, experience troubleshooting computer, network, or embedded systems, and prior night shift or 24/7 operations experience are all a strong plus.\nEnhanced Pre-trip Inspector (EIP) certification, or interest in becoming certified, is a plus.\n \nNight Shift Schedule and Flexibility:\nBase shift: 11:00 PM – 7:30 AM CT, based at Waabi’s Lancaster, TX terminal.\nStart and end times may shift. The shift may begin and end a few hours later and, less commonly, a few hours earlier, based on commercial and customer demand and when loads need to move. Night shift crews are expected to be as flexible as day shift crews.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
Waabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and we are standing up a night shift to meet our commercial customers where they are.
\n
The Fleet Specialist is Waabi’s right-seat software operator: the person who makes the autonomous system ready to run, watches how it behaves in the real world, and turns what happens on the road into information our engineers can act on. On night shift that work carries more weight, because you are often the first technical set of eyes on a problem. This role suits someone genuinely curious about how the system works, who works a problem thoroughly before escalating and knows when escalating is the right call, and who documents well enough that day shift and the development teams can pick up exactly where the night left off.
\n
You will…
\n
\n- Prepare vehicle systems for manual and autonomous missions: verify the AV release, map name and version, and vehicle compute and controller firmware, update and launch the mission container configuration, and confirm trailer weight and load ID.
\n- Send, launch, hold, and end missions in the Waabi App, Jira, and the Linux terminal, and confirm mission data has been offloaded before closing out a mission.
\n- Monitor vehicle and autonomy system status from the front right seat, including Foxglove visualizations, and relay system state and upcoming vehicle intent to the Vehicle Operator.
\n- Call for a disengagement whenever system information cannot be relayed quickly enough to keep the maneuver safe. Every crew member is empowered to make that call.
\n- Annotate on-road events with specific, descriptive context and categorize disengagements under Waabi’s Safety Risk, Stranding Risk, and Reputational Risk framework.
\n- Track and report mission performance including takeovers, dropouts, troubleshooting, and delays, maintaining the standard mission thread format.
\n- Complete AV stack pre-trip and post-trip documentation with close-up sensor and hardware photography, and escalate hardware conditions that were not resolved on the prior shift.
\n- Manage data drives: check out the required number for the mission profile plus contingency, verify each drive connects, and confirm logs are offloaded.
\n- Execute periodic calibration and static validation collects to procedure and document them to the standard template.
\n- Check conditions against the Operational Design Domain and verify with Dispatch before engaging or re-engaging near a policy limit.
\n- Serve as spotter for backing maneuvers, apply Get Out And Look (G.O.A.L.), and work in parallel with the Vehicle Operator on inspection and hook-up so the crew makes gate time.
\n- The role requires the ability to move around, under, alongside, and climb on a Class 8 tractor and trailer on scaffolding, stairs, and/or ladder to inspect and photograph sensors and hardware, and to handle data drives and cabling.
\n- Post accurate, timely shift status in Slack, maintain 5-S standards in the bays and garage, and brief Vehicle Operators on software and truck behavior changes before each mission.
\n
\n
Qualifications:
\n
\n- High school diploma or equivalent required.
\n- Prior experience in a related operations, logistics, technical support, or vehicle testing role preferred.
\n- Technical aptitude is central to this role. Comfort working at a command line — container logs, device resets, fault handling — and an interest in understanding the compute and sensor systems on the truck.
\n- Strong written communication and a high standard for documentation. Much of this role is judged on the quality of the record you leave behind.
\n- Strong attention to detail and the ability to follow a procedure exactly under time pressure.
\n- Ability to work in a fast-paced, frequently changing environment where priorities and schedules move.
\n- Able and willing to work overnight, late night, weekend, and holiday shifts, including extended, potentially consecutive shifts of up to approximately 14 hours (following DOT regulations), and overnight travel.
\n- Ability to travel to support out-of-area missions, scouting, and testing.
\n- Basic computer skills and the ability to learn Waabi’s mission, fleet, and inspection tooling quickly.
\n- Passionate about self-driving technology, solving hard problems, and creating innovative solutions.
\n- Previous autonomous vehicle, robotics, or vehicle testing experience, experience troubleshooting computer, network, or embedded systems, and prior night shift or 24/7 operations experience are all a strong plus.
\n- Enhanced Pre-trip Inspector (EIP) certification, or interest in becoming certified, is a plus.
\n
\n
\n
Night Shift Schedule and Flexibility:
Base shift: 11:00 PM – 7:30 AM CT, based at Waabi’s Lancaster, TX terminal.
Start and end times may shift. The shift may begin and end a few hours later and, less commonly, a few hours earlier, based on commercial and customer demand and when loads need to move. Night shift crews are expected to be as flexible as day shift crews.
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
Waabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and we are standing up a night shift to meet our commercial customers where they are.
\n
The Fleet Specialist is Waabi’s right-seat software operator: the person who makes the autonomous system ready to run, watches how it behaves in the real world, and turns what happens on the road into information our engineers can act on. On night shift that work carries more weight, because you are often the first technical set of eyes on a problem. This role suits someone genuinely curious about how the system works, who works a problem thoroughly before escalating and knows when escalating is the right call, and who documents well enough that day shift and the development teams can pick up exactly where the night left off.
\n
You will…
\n
\n- Prepare vehicle systems for manual and autonomous missions: verify the AV release, map name and version, and vehicle compute and controller firmware, update and launch the mission container configuration, and confirm trailer weight and load ID.
\n- Send, launch, hold, and end missions in the Waabi App, Jira, and the Linux terminal, and confirm mission data has been offloaded before closing out a mission.
\n- Monitor vehicle and autonomy system status from the front right seat, including Foxglove visualizations, and relay system state and upcoming vehicle intent to the Vehicle Operator.
\n- Call for a disengagement whenever system information cannot be relayed quickly enough to keep the maneuver safe. Every crew member is empowered to make that call.
\n- Annotate on-road events with specific, descriptive context and categorize disengagements under Waabi’s Safety Risk, Stranding Risk, and Reputational Risk framework.
\n- Track and report mission performance including takeovers, dropouts, troubleshooting, and delays, maintaining the standard mission thread format.
\n- Complete AV stack pre-trip and post-trip documentation with close-up sensor and hardware photography, and escalate hardware conditions that were not resolved on the prior shift.
\n- Manage data drives: check out the required number for the mission profile plus contingency, verify each drive connects, and confirm logs are offloaded.
\n- Execute periodic calibration and static validation collects to procedure and document them to the standard template.
\n- Check conditions against the Operational Design Domain and verify with Dispatch before engaging or re-engaging near a policy limit.
\n- Serve as spotter for backing maneuvers, apply Get Out And Look (G.O.A.L.), and work in parallel with the Vehicle Operator on inspection and hook-up so the crew makes gate time.
\n- The role requires the ability to move around, under, alongside, and climb on a Class 8 tractor and trailer on scaffolding, stairs, and/or ladder to inspect and photograph sensors and hardware, and to handle data drives and cabling.
\n- Post accurate, timely shift status in Slack, maintain 5-S standards in the bays and garage, and brief Vehicle Operators on software and truck behavior changes before each mission.
\n
\n
Qualifications:
\n
\n- High school diploma or equivalent required.
\n- Prior experience in a related operations, logistics, technical support, or vehicle testing role preferred.
\n- Technical aptitude is central to this role. Comfort working at a command line — container logs, device resets, fault handling — and an interest in understanding the compute and sensor systems on the truck.
\n- Strong written communication and a high standard for documentation. Much of this role is judged on the quality of the record you leave behind.
\n- Strong attention to detail and the ability to follow a procedure exactly under time pressure.
\n- Ability to work in a fast-paced, frequently changing environment where priorities and schedules move.
\n- Able and willing to work overnight, late night, weekend, and holiday shifts, including extended, potentially consecutive shifts of up to approximately 14 hours (following DOT regulations), and overnight travel.
\n- Ability to travel to support out-of-area missions, scouting, and testing.
\n- Basic computer skills and the ability to learn Waabi’s mission, fleet, and inspection tooling quickly.
\n- Passionate about self-driving technology, solving hard problems, and creating innovative solutions.
\n- Previous autonomous vehicle, robotics, or vehicle testing experience, experience troubleshooting computer, network, or embedded systems, and prior night shift or 24/7 operations experience are all a strong plus.
\n- Enhanced Pre-trip Inspector (EIP) certification, or interest in becoming certified, is a plus.
\n
\n
\n
Night Shift Schedule and Flexibility:
Base shift: 11:00 PM – 7:30 AM CT, based at Waabi’s Lancaster, TX terminal.
Start and end times may shift. The shift may begin and end a few hours later and, less commonly, a few hours earlier, based on commercial and customer demand and when loads need to move. Night shift crews are expected to be as flexible as day shift crews.
\n
Perks/Benefits:
\n\n
Waabi provides a competitive benefits package that includes:
\n
\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy.
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Hardware","location":"Pittsburgh, PA","team":"HIL (Hardware in the Loop)","allLocations":["Pittsburgh, PA","San Francisco, CA"]},"createdAt":1787680726244,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\nDevelop the software and firmware that powers Waabi's HIL benches — test runners, simulation/stimulation interfaces, fault-injection tooling, and bench control software.\nBuild simulation interfaces that feed synthetic vehicle dynamics (pose, speed, sensor data) to embedded modules under test, and stimulation tooling that injects CAN/Ethernet messages to trigger logical state changes.\nImplement automated test frameworks and scripts to run requirement-based tests (timing, fault handling, mode transitions, disengagements) on real hardware.\nIntegrate HIL test execution into CI so firmware and software releases are automatically validated on benches before reaching the vehicle, including test-modality tracking and result reporting.\nDevelop instrumentation and data acquisition software for hardware timestamping, analog measurement triggers, and endurance-run analysis.\nWork hands-on at the bench: bring up new bench configurations, debug hardware/software interactions, and support engineers across Embedded, Autonomy, and V&V running tests on HIL.\nAnalyze and document test data for hardware, autonomy, and systems engineering teams.\n \nQualifications:\nBachelor of Science in Computer Science, Computer Engineering, Electrical Engineering, or equivalent industry experience.\n4+ years of experience developing software for HIL, embedded test automation, or real-time test systems.\nStrong programming skills in Python; working proficiency in C/C++/Rust for embedded or real-time contexts.\nHands-on experience with automotive communication interfaces — CAN, automotive Ethernet — including message injection, logging, and debugging (e.g., CANalyzer, python-can, SocketCAN).\nExperience building test automation frameworks and integrating hardware tests into CI pipelines.\nComfortable working with lab equipment (oscilloscopes, DAQs, power supplies, E-loads) and debugging at the hardware/software boundary.\nStrong Linux proficiency for command-line workflows, system utilities, and bench infrastructure.\nExcellent technical writing skills for effective communication and documentation.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus:\nExperience with real-time operating systems (RTOS) and real-time Linux.\nExperience with plant modeling and vehicle dynamics simulation (MATLAB/Simulink, dSPACE ASM, CarSim, or custom).\nFamiliarity with functional safety standards (ISO 26262) and safety MCU architectures.\nExperience with GUI or dashboard development for test operators (PyQt, web-based tooling).\nFirmware development experience on automotive microcontrollers.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will...
\n\n- Develop the software and firmware that powers Waabi's HIL benches — test runners, simulation/stimulation interfaces, fault-injection tooling, and bench control software.
\n- Build simulation interfaces that feed synthetic vehicle dynamics (pose, speed, sensor data) to embedded modules under test, and stimulation tooling that injects CAN/Ethernet messages to trigger logical state changes.
\n- Implement automated test frameworks and scripts to run requirement-based tests (timing, fault handling, mode transitions, disengagements) on real hardware.
\n- Integrate HIL test execution into CI so firmware and software releases are automatically validated on benches before reaching the vehicle, including test-modality tracking and result reporting.
\n- Develop instrumentation and data acquisition software for hardware timestamping, analog measurement triggers, and endurance-run analysis.
\n- Work hands-on at the bench: bring up new bench configurations, debug hardware/software interactions, and support engineers across Embedded, Autonomy, and V&V running tests on HIL.
\n- Analyze and document test data for hardware, autonomy, and systems engineering teams.
\n
\n
\nQualifications:
\n\n- Bachelor of Science in Computer Science, Computer Engineering, Electrical Engineering, or equivalent industry experience.
\n- 4+ years of experience developing software for HIL, embedded test automation, or real-time test systems.
\n- Strong programming skills in Python; working proficiency in C/C++/Rust for embedded or real-time contexts.
\n- Hands-on experience with automotive communication interfaces — CAN, automotive Ethernet — including message injection, logging, and debugging (e.g., CANalyzer, python-can, SocketCAN).
\n- Experience building test automation frameworks and integrating hardware tests into CI pipelines.
\n- Comfortable working with lab equipment (oscilloscopes, DAQs, power supplies, E-loads) and debugging at the hardware/software boundary.
\n- Strong Linux proficiency for command-line workflows, system utilities, and bench infrastructure.
\n- Excellent technical writing skills for effective communication and documentation.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
\nBonus:
\n\n- Experience with real-time operating systems (RTOS) and real-time Linux.
\n- Experience with plant modeling and vehicle dynamics simulation (MATLAB/Simulink, dSPACE ASM, CarSim, or custom).
\n- Familiarity with functional safety standards (ISO 26262) and safety MCU architectures.
\n- Experience with GUI or dashboard development for test operators (PyQt, web-based tooling).
\n- Firmware development experience on automotive microcontrollers.
\n
","id":"902e1045-bae3-4200-98be-d0116e019cf6","lists":[],"text":"Hardware-in-the-Loop (HIL) Software/Firmware Engineer","country":"US","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will...
\n\n- Develop the software and firmware that powers Waabi's HIL benches — test runners, simulation/stimulation interfaces, fault-injection tooling, and bench control software.
\n- Build simulation interfaces that feed synthetic vehicle dynamics (pose, speed, sensor data) to embedded modules under test, and stimulation tooling that injects CAN/Ethernet messages to trigger logical state changes.
\n- Implement automated test frameworks and scripts to run requirement-based tests (timing, fault handling, mode transitions, disengagements) on real hardware.
\n- Integrate HIL test execution into CI so firmware and software releases are automatically validated on benches before reaching the vehicle, including test-modality tracking and result reporting.
\n- Develop instrumentation and data acquisition software for hardware timestamping, analog measurement triggers, and endurance-run analysis.
\n- Work hands-on at the bench: bring up new bench configurations, debug hardware/software interactions, and support engineers across Embedded, Autonomy, and V&V running tests on HIL.
\n- Analyze and document test data for hardware, autonomy, and systems engineering teams.
\n
\n
\nQualifications:
\n\n- Bachelor of Science in Computer Science, Computer Engineering, Electrical Engineering, or equivalent industry experience.
\n- 4+ years of experience developing software for HIL, embedded test automation, or real-time test systems.
\n- Strong programming skills in Python; working proficiency in C/C++/Rust for embedded or real-time contexts.
\n- Hands-on experience with automotive communication interfaces — CAN, automotive Ethernet — including message injection, logging, and debugging (e.g., CANalyzer, python-can, SocketCAN).
\n- Experience building test automation frameworks and integrating hardware tests into CI pipelines.
\n- Comfortable working with lab equipment (oscilloscopes, DAQs, power supplies, E-loads) and debugging at the hardware/software boundary.
\n- Strong Linux proficiency for command-line workflows, system utilities, and bench infrastructure.
\n- Excellent technical writing skills for effective communication and documentation.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
\nBonus:
\n\n- Experience with real-time operating systems (RTOS) and real-time Linux.
\n- Experience with plant modeling and vehicle dynamics simulation (MATLAB/Simulink, dSPACE ASM, CarSim, or custom).
\n- Familiarity with functional safety standards (ISO 26262) and safety MCU architectures.
\n- Experience with GUI or dashboard development for test operators (PyQt, web-based tooling).
\n- Firmware development experience on automotive microcontrollers.
\n
","descriptionBodyPlain":"You will...\nDevelop the software and firmware that powers Waabi's HIL benches — test runners, simulation/stimulation interfaces, fault-injection tooling, and bench control software.\nBuild simulation interfaces that feed synthetic vehicle dynamics (pose, speed, sensor data) to embedded modules under test, and stimulation tooling that injects CAN/Ethernet messages to trigger logical state changes.\nImplement automated test frameworks and scripts to run requirement-based tests (timing, fault handling, mode transitions, disengagements) on real hardware.\nIntegrate HIL test execution into CI so firmware and software releases are automatically validated on benches before reaching the vehicle, including test-modality tracking and result reporting.\nDevelop instrumentation and data acquisition software for hardware timestamping, analog measurement triggers, and endurance-run analysis.\nWork hands-on at the bench: bring up new bench configurations, debug hardware/software interactions, and support engineers across Embedded, Autonomy, and V&V running tests on HIL.\nAnalyze and document test data for hardware, autonomy, and systems engineering teams.\n \nQualifications:\nBachelor of Science in Computer Science, Computer Engineering, Electrical Engineering, or equivalent industry experience.\n4+ years of experience developing software for HIL, embedded test automation, or real-time test systems.\nStrong programming skills in Python; working proficiency in C/C++/Rust for embedded or real-time contexts.\nHands-on experience with automotive communication interfaces — CAN, automotive Ethernet — including message injection, logging, and debugging (e.g., CANalyzer, python-can, SocketCAN).\nExperience building test automation frameworks and integrating hardware tests into CI pipelines.\nComfortable working with lab equipment (oscilloscopes, DAQs, power supplies, E-loads) and debugging at the hardware/software boundary.\nStrong Linux proficiency for command-line workflows, system utilities, and bench infrastructure.\nExcellent technical writing skills for effective communication and documentation.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus:\nExperience with real-time operating systems (RTOS) and real-time Linux.\nExperience with plant modeling and vehicle dynamics simulation (MATLAB/Simulink, dSPACE ASM, CarSim, or custom).\nFamiliarity with functional safety standards (ISO 26262) and safety MCU architectures.\nExperience with GUI or dashboard development for test operators (PyQt, web-based tooling).\nFirmware development experience on automotive microcontrollers.\n","hostedUrl":"https://jobs.lever.co/waabi/902e1045-bae3-4200-98be-d0116e019cf6","applyUrl":"https://jobs.lever.co/waabi/902e1045-bae3-4200-98be-d0116e019cf6/apply"},{"additionalPlain":"Perks/Benefits:\nWaabi provides a competitive benefits package that includes:\nCompetitive compensation and equity awards.\nHealth and wellness benefits encompassing Medical, Dental, and Vision coverage \nPaid parental, medical and family care leave.\nGenerous PTO Policy.\nRetirement savings plans including 401(k) or RRSP options.\nHealth savings account contribution options.\nDaily drinks, snacks, and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAdditional benefits are offered and tailored to specific country locations. \nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"Perks/Benefits:
\n\n
Waabi provides a competitive benefits package that includes:
\n
\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy.
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Hardware","location":"Pittsburgh, PA","team":"HIL (Hardware in the Loop)","allLocations":["Pittsburgh, PA","San Francisco, CA"]},"createdAt":1787679386625,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\nLead Waabi's HIL program, owning the strategy, architecture, roadmap, and execution across Hardware and Software organizations.\nDefine and deliver a tiered HIL architecture — from lightweight component-level benches (single ECU under test) through embedded-system benches to full-system integration benches — scaled across multiple vehicle platforms and OEM programs.\nVerification of critical electrical, timing, and fault-handling requirements from full-vehicle testing onto HIL benches, ensuring only mature software reaches the vehicle.\nOwn safety-critical fault injection on real hardware: power loss, autonomy disconnect, redundant power failover, and other destructive or high-risk scenarios verified in a safe environment before track deployment.\nValidate real-time constraints (e.g., control loop update intervals) using hardware timestamping and instrumented measurement (oscilloscopes, high-speed DAQ).\nIntegrate HIL testing into CI and the firmware/software release process, including automated smoke testing and test modality tracking.\nPartner closely with Embedded Systems, Systems & Safety, Autonomy, V&V, and Infrastructure teams to define requirements coverage and unblock development.\nPlan bench capacity, hardware resources (ECUs, actuators, harnessing), and headcount as the program scales; hire and grow the HIL team.\nEstablish documentation, processes, and success metrics for the program (fault-injection coverage, release validation time, timing compliance).\n \nQualifications:\nBachelor of Science in Electrical Engineering, Computer Engineering, Computer Science, or equivalent industry experience.\n7+ years of experience in HIL, embedded systems test, or V&V for safety-critical systems, with demonstrated experience building HIL programs or labs from early stages.\nHands-on experience architecting and building custom HIL platforms as well as using OTS systems.\nDeep knowledge of automotive interfaces and debugging: CAN, automotive Ethernet, and related protocols.\nStrong understanding of simulation vs. stimulation approaches — plant modeling and vehicle dynamics simulation as well as message-level injection for logical state testing.\nProficiency in Python and test automation frameworks; experience integrating hardware test into CI pipelines.\nDemonstrated technical leadership: leading engineers, driving cross-functional projects with high ambiguity, and communicating across hardware and software organizations.\nExcellent technical writing skills for effective communication and documentation.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus:\nExperience with functional safety standards (ISO 26262) and real-time safety-critical systems.\nExperience with heterogeneous compute platforms (e.g., NVIDIA DRIVE-class SoCs, safety MCUs) in HIL environments.\nExperience with fault-injection hardware, load boxes, and breakout/harness design for bench systems.\nPrior experience in autonomous vehicles, trucking, or other complex vehicle programs spanning multiple platforms.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will...
\n\n- Lead Waabi's HIL program, owning the strategy, architecture, roadmap, and execution across Hardware and Software organizations.
\n- Define and deliver a tiered HIL architecture — from lightweight component-level benches (single ECU under test) through embedded-system benches to full-system integration benches — scaled across multiple vehicle platforms and OEM programs.
\n- Verification of critical electrical, timing, and fault-handling requirements from full-vehicle testing onto HIL benches, ensuring only mature software reaches the vehicle.
\n- Own safety-critical fault injection on real hardware: power loss, autonomy disconnect, redundant power failover, and other destructive or high-risk scenarios verified in a safe environment before track deployment.
\n- Validate real-time constraints (e.g., control loop update intervals) using hardware timestamping and instrumented measurement (oscilloscopes, high-speed DAQ).
\n- Integrate HIL testing into CI and the firmware/software release process, including automated smoke testing and test modality tracking.
\n- Partner closely with Embedded Systems, Systems & Safety, Autonomy, V&V, and Infrastructure teams to define requirements coverage and unblock development.
\n- Plan bench capacity, hardware resources (ECUs, actuators, harnessing), and headcount as the program scales; hire and grow the HIL team.
\n- Establish documentation, processes, and success metrics for the program (fault-injection coverage, release validation time, timing compliance).
\n
\n
\nQualifications:
\n\n- Bachelor of Science in Electrical Engineering, Computer Engineering, Computer Science, or equivalent industry experience.
\n- 7+ years of experience in HIL, embedded systems test, or V&V for safety-critical systems, with demonstrated experience building HIL programs or labs from early stages.
\n- Hands-on experience architecting and building custom HIL platforms as well as using OTS systems.
\n- Deep knowledge of automotive interfaces and debugging: CAN, automotive Ethernet, and related protocols.
\n- Strong understanding of simulation vs. stimulation approaches — plant modeling and vehicle dynamics simulation as well as message-level injection for logical state testing.
\n- Proficiency in Python and test automation frameworks; experience integrating hardware test into CI pipelines.
\n- Demonstrated technical leadership: leading engineers, driving cross-functional projects with high ambiguity, and communicating across hardware and software organizations.
\n- Excellent technical writing skills for effective communication and documentation.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
\nBonus:
\n\n- Experience with functional safety standards (ISO 26262) and real-time safety-critical systems.
\n- Experience with heterogeneous compute platforms (e.g., NVIDIA DRIVE-class SoCs, safety MCUs) in HIL environments.
\n- Experience with fault-injection hardware, load boxes, and breakout/harness design for bench systems.
\n- Prior experience in autonomous vehicles, trucking, or other complex vehicle programs spanning multiple platforms.
\n
","id":"0d9df53e-5b8a-4d32-8668-9f5c06bf7069","lists":[],"text":"Hardware-in-the-Loop (HIL) Team Lead","country":"US","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will...
\n\n- Lead Waabi's HIL program, owning the strategy, architecture, roadmap, and execution across Hardware and Software organizations.
\n- Define and deliver a tiered HIL architecture — from lightweight component-level benches (single ECU under test) through embedded-system benches to full-system integration benches — scaled across multiple vehicle platforms and OEM programs.
\n- Verification of critical electrical, timing, and fault-handling requirements from full-vehicle testing onto HIL benches, ensuring only mature software reaches the vehicle.
\n- Own safety-critical fault injection on real hardware: power loss, autonomy disconnect, redundant power failover, and other destructive or high-risk scenarios verified in a safe environment before track deployment.
\n- Validate real-time constraints (e.g., control loop update intervals) using hardware timestamping and instrumented measurement (oscilloscopes, high-speed DAQ).
\n- Integrate HIL testing into CI and the firmware/software release process, including automated smoke testing and test modality tracking.
\n- Partner closely with Embedded Systems, Systems & Safety, Autonomy, V&V, and Infrastructure teams to define requirements coverage and unblock development.
\n- Plan bench capacity, hardware resources (ECUs, actuators, harnessing), and headcount as the program scales; hire and grow the HIL team.
\n- Establish documentation, processes, and success metrics for the program (fault-injection coverage, release validation time, timing compliance).
\n
\n
\nQualifications:
\n\n- Bachelor of Science in Electrical Engineering, Computer Engineering, Computer Science, or equivalent industry experience.
\n- 7+ years of experience in HIL, embedded systems test, or V&V for safety-critical systems, with demonstrated experience building HIL programs or labs from early stages.
\n- Hands-on experience architecting and building custom HIL platforms as well as using OTS systems.
\n- Deep knowledge of automotive interfaces and debugging: CAN, automotive Ethernet, and related protocols.
\n- Strong understanding of simulation vs. stimulation approaches — plant modeling and vehicle dynamics simulation as well as message-level injection for logical state testing.
\n- Proficiency in Python and test automation frameworks; experience integrating hardware test into CI pipelines.
\n- Demonstrated technical leadership: leading engineers, driving cross-functional projects with high ambiguity, and communicating across hardware and software organizations.
\n- Excellent technical writing skills for effective communication and documentation.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
\nBonus:
\n\n- Experience with functional safety standards (ISO 26262) and real-time safety-critical systems.
\n- Experience with heterogeneous compute platforms (e.g., NVIDIA DRIVE-class SoCs, safety MCUs) in HIL environments.
\n- Experience with fault-injection hardware, load boxes, and breakout/harness design for bench systems.
\n- Prior experience in autonomous vehicles, trucking, or other complex vehicle programs spanning multiple platforms.
\n
","descriptionBodyPlain":"You will...\nLead Waabi's HIL program, owning the strategy, architecture, roadmap, and execution across Hardware and Software organizations.\nDefine and deliver a tiered HIL architecture — from lightweight component-level benches (single ECU under test) through embedded-system benches to full-system integration benches — scaled across multiple vehicle platforms and OEM programs.\nVerification of critical electrical, timing, and fault-handling requirements from full-vehicle testing onto HIL benches, ensuring only mature software reaches the vehicle.\nOwn safety-critical fault injection on real hardware: power loss, autonomy disconnect, redundant power failover, and other destructive or high-risk scenarios verified in a safe environment before track deployment.\nValidate real-time constraints (e.g., control loop update intervals) using hardware timestamping and instrumented measurement (oscilloscopes, high-speed DAQ).\nIntegrate HIL testing into CI and the firmware/software release process, including automated smoke testing and test modality tracking.\nPartner closely with Embedded Systems, Systems & Safety, Autonomy, V&V, and Infrastructure teams to define requirements coverage and unblock development.\nPlan bench capacity, hardware resources (ECUs, actuators, harnessing), and headcount as the program scales; hire and grow the HIL team.\nEstablish documentation, processes, and success metrics for the program (fault-injection coverage, release validation time, timing compliance).\n \nQualifications:\nBachelor of Science in Electrical Engineering, Computer Engineering, Computer Science, or equivalent industry experience.\n7+ years of experience in HIL, embedded systems test, or V&V for safety-critical systems, with demonstrated experience building HIL programs or labs from early stages.\nHands-on experience architecting and building custom HIL platforms as well as using OTS systems.\nDeep knowledge of automotive interfaces and debugging: CAN, automotive Ethernet, and related protocols.\nStrong understanding of simulation vs. stimulation approaches — plant modeling and vehicle dynamics simulation as well as message-level injection for logical state testing.\nProficiency in Python and test automation frameworks; experience integrating hardware test into CI pipelines.\nDemonstrated technical leadership: leading engineers, driving cross-functional projects with high ambiguity, and communicating across hardware and software organizations.\nExcellent technical writing skills for effective communication and documentation.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus:\nExperience with functional safety standards (ISO 26262) and real-time safety-critical systems.\nExperience with heterogeneous compute platforms (e.g., NVIDIA DRIVE-class SoCs, safety MCUs) in HIL environments.\nExperience with fault-injection hardware, load boxes, and breakout/harness design for bench systems.\nPrior experience in autonomous vehicles, trucking, or other complex vehicle programs spanning multiple platforms.\n","hostedUrl":"https://jobs.lever.co/waabi/0d9df53e-5b8a-4d32-8668-9f5c06bf7069","applyUrl":"https://jobs.lever.co/waabi/0d9df53e-5b8a-4d32-8668-9f5c06bf7069/apply"},{"additionalPlain":"Perks/Benefits:\nWaabi provides a competitive benefits package that includes:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage.\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nWorld-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)\nAs we grow, this list continues to evolve! \n \nWaabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"\n
\n
The Canada yearly salary range for this role is: $114,000 - 140,000 CAD in addition to competitive perks & benefits. Waabi Canada Inc.s' yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all Canada locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
\n
\n
\n
Perks/Benefits:
\nWaabi provides a competitive benefits package that includes:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- World-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Toronto, ON","team":"Corporate IT","allLocations":["Toronto, ON"]},"createdAt":1789496059164,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
Waabi is seeking an IT Systems Administrator to join our growing IT Operations team and provide hands-on technology support for our Toronto site while helping scale IT operations across all Waabi locations.
\n
This is a high-ownership, onsite role with a strong emphasis on Linux systems administration and networking. You will support day-to-day IT operations, manage Linux-based infrastructure and endpoints, maintain and troubleshoot office and lab networking, and partner with teams across the organization to deliver scalable, secure solutions.
\n
The ideal candidate is a hands-on problem solver who is comfortable operating in Linux environments at the command line, is confident troubleshooting complex networking issues (switches, routing, VPNs, firewalls), and enjoys working across multiple layers of IT, from supporting engineers and managing servers, to maintaining office infrastructure and improving IT processes. You will collaborate closely with the broader IT team to provide remote support to other Waabi locations and participate in the IT Support on-call rotation.
\n
You will…
\n
Linux Systems & Server Administration
\n
\n- \n
Administer, patch, and maintain Linux servers and workstations supporting engineering, R&D, and office environments
\n \n- \n
Manage user accounts, permissions, and configuration via standard Linux tooling and scripting (Bash/Python)
\n \n- \n
Support Linux-based endpoint provisioning, imaging, and configuration management for engineering and lab users
\n \n- \n
Monitor system health, logs, and performance, and troubleshoot Linux-specific issues across compute and networked storage
\n \n- \n
Maintain security hardening, patch management, and compliance for Linux systems
\n \n
\n
Networking
\n
\n- \n
Support day-to-day network operations for the Toronto office, including switches, routers, firewalls, patch panels, and structured cabling
\n \n- \n
Troubleshoot wired and wireless network connectivity issues, including VLAN configuration, DNS/DHCP, and VPN access
\n \n- \n
Support network segmentation and security for corporate, guest, and lab/engineering network environments
\n \n- \n
Partner with Facilities and vendors on network buildouts, expansions, and infrastructure improvements
\n \n- \n
Support specialized engineering and lab network environments
\n \n
\n
End User Support & IT Operations
\n
\n- \n
Provide onsite technical support for employees at the Toronto location, including hardware, software, networking, and access issues
\n \n- \n
Serve as a trusted IT partner for local teams, providing timely troubleshooting and solutions
\n \n- \n
Support remote users and collaborate with IT team members across other Waabi locations
\n \n- \n
Participate in the IT Support on-call rotation to provide after-hours support as needed
\n \n- \n
Manage incidents and requests through Jira Service Management, ensuring timely resolution and clear communication
\n \n- \n
Create and maintain technical documentation, knowledge base articles, and standard operating procedures
\n \n
\n
Endpoint Management & Device Lifecycle
\n
\n- \n
Administer endpoint management platforms across Linux, Windows, and macOS devices
\n \n- \n
Support device enrollment, configuration profiles, security policies, application deployment, and compliance reporting
\n \n- \n
Manage workstation lifecycle including provisioning, configuration, troubleshooting, replacement, and retirement
\n \n- \n
Support mobile device management and secure BYOD access workflows
\n \n- \n
Maintain accurate hardware inventory and asset management records
\n \n
\n
Identity & Access Management
\n
\n- \n
Support user lifecycle management including onboarding, offboarding, account provisioning, and access changes
\n \n- \n
Manage and administer identity, access, and collaboration platforms such as Okta, Google Workspace, or similar systems
\n \n- \n
Support group management, permissions, and access policies, including Linux group/permission structures
\n \n- \n
Assist with SSO integrations and SaaS application access management
\n \n- \n
Help implement secure access practices aligned with company security requirements
\n \n
\n
Security & Compliance Support
\n
\n- \n
Support implementation and maintenance of endpoint and network security standards and controls
\n \n- \n
Assist with device compliance monitoring, patch management, and security remediation activities across Linux and networked systems
\n \n- \n
Follow established security processes and help improve operational controls
\n \n- \n
Support audits and compliance initiatives through documentation, reporting, and evidence collection
\n \n- \n
Partner with security teams to investigate and remediate endpoint and network-related issues
\n \n
\n
Process Improvement & IT Scaling
\n
\n- \n
Identify opportunities to improve IT workflows, automation, and employee experience
\n \n- \n
Contribute to scalable processes that support Waabi's growth
\n \n- \n
Improve documentation, knowledge sharing, and support practices across the IT organization
\n \n
\n
Qualifications
\n
\n- \n
5+ years of experience in IT systems administration, desktop support, or IT operations roles
\n \n- \n
Strong hands-on Linux administration experience (Ubuntu/Debian or RHEL/CentOS), including command-line proficiency, user/permission management, and troubleshooting
\n \n- \n
Solid networking fundamentals, including TCP/IP, VLANs, DNS/DHCP, routing, firewalls, and VPNs, with hands-on experience troubleshooting switches, routers, and cabling
\n \n- \n
Experience supporting Windows and macOS environments in a business setting
\n \n- \n
Experience administering endpoint management tools such as Microsoft Intune, JumpCloud, Jamf, or similar platforms
\n \n- \n
Experience with identity and access management concepts, including user provisioning, permissions, and authentication
\n \n- \n
Strong troubleshooting skills across hardware, software, networking, and user-facing technologies
\n \n- \n
Ability to prioritize multiple requests while maintaining excellent customer service
\n \n- \n
Strong written and verbal communication skills with the ability to document technical processes clearly and with a customer service mindset
\n \n- \n
Ability to work independently while collaborating effectively with a distributed IT team
\n \n- \n
Willingness to participate in an IT support on-call rotation
\n \n- \n
Ability to lift and move material up to ~50 pounds
\n \n
\n
Preferred Qualifications
\n
\n- \n
Experience administering Linux servers in a production or engineering/R&D environment
\n \n- \n
Networking certification (e.g., CCNA) or equivalent hands-on experience
\n \n- \n
Experience with automation and scripting (Bash, Python, PowerShell, or similar) for systems and network tasks
\n \n- \n
Experience supporting a multi-site organization with both onsite and remote users
\n \n- \n
Experience with Microsoft Entra ID, Google Workspace, Okta, or similar identity platforms
\n \n- \n
Experience with SSO integrations using SAML and SCIM
\n \n- \n
Familiarity with security frameworks such as NIST, ISO 27001, or SOC 2
\n \n- \n
Experience supporting engineering, robotics, or specialized computing/lab environments
\n \n- \n
Experience with office buildouts, vendor coordination, and physical infrastructure projects
\n \n- \n
Experience working in a fast-paced, high-growth technology environment
\n \n
\n
\n
Bonus
\n
\n- \n
Experience working in startups
\n \n- \n
Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
\n \n
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
Waabi is seeking an IT Systems Administrator to join our growing IT Operations team and provide hands-on technology support for our Toronto site while helping scale IT operations across all Waabi locations.
\n
This is a high-ownership, onsite role with a strong emphasis on Linux systems administration and networking. You will support day-to-day IT operations, manage Linux-based infrastructure and endpoints, maintain and troubleshoot office and lab networking, and partner with teams across the organization to deliver scalable, secure solutions.
\n
The ideal candidate is a hands-on problem solver who is comfortable operating in Linux environments at the command line, is confident troubleshooting complex networking issues (switches, routing, VPNs, firewalls), and enjoys working across multiple layers of IT, from supporting engineers and managing servers, to maintaining office infrastructure and improving IT processes. You will collaborate closely with the broader IT team to provide remote support to other Waabi locations and participate in the IT Support on-call rotation.
\n
You will…
\n
Linux Systems & Server Administration
\n
\n- \n
Administer, patch, and maintain Linux servers and workstations supporting engineering, R&D, and office environments
\n \n- \n
Manage user accounts, permissions, and configuration via standard Linux tooling and scripting (Bash/Python)
\n \n- \n
Support Linux-based endpoint provisioning, imaging, and configuration management for engineering and lab users
\n \n- \n
Monitor system health, logs, and performance, and troubleshoot Linux-specific issues across compute and networked storage
\n \n- \n
Maintain security hardening, patch management, and compliance for Linux systems
\n \n
\n
Networking
\n
\n- \n
Support day-to-day network operations for the Toronto office, including switches, routers, firewalls, patch panels, and structured cabling
\n \n- \n
Troubleshoot wired and wireless network connectivity issues, including VLAN configuration, DNS/DHCP, and VPN access
\n \n- \n
Support network segmentation and security for corporate, guest, and lab/engineering network environments
\n \n- \n
Partner with Facilities and vendors on network buildouts, expansions, and infrastructure improvements
\n \n- \n
Support specialized engineering and lab network environments
\n \n
\n
End User Support & IT Operations
\n
\n- \n
Provide onsite technical support for employees at the Toronto location, including hardware, software, networking, and access issues
\n \n- \n
Serve as a trusted IT partner for local teams, providing timely troubleshooting and solutions
\n \n- \n
Support remote users and collaborate with IT team members across other Waabi locations
\n \n- \n
Participate in the IT Support on-call rotation to provide after-hours support as needed
\n \n- \n
Manage incidents and requests through Jira Service Management, ensuring timely resolution and clear communication
\n \n- \n
Create and maintain technical documentation, knowledge base articles, and standard operating procedures
\n \n
\n
Endpoint Management & Device Lifecycle
\n
\n- \n
Administer endpoint management platforms across Linux, Windows, and macOS devices
\n \n- \n
Support device enrollment, configuration profiles, security policies, application deployment, and compliance reporting
\n \n- \n
Manage workstation lifecycle including provisioning, configuration, troubleshooting, replacement, and retirement
\n \n- \n
Support mobile device management and secure BYOD access workflows
\n \n- \n
Maintain accurate hardware inventory and asset management records
\n \n
\n
Identity & Access Management
\n
\n- \n
Support user lifecycle management including onboarding, offboarding, account provisioning, and access changes
\n \n- \n
Manage and administer identity, access, and collaboration platforms such as Okta, Google Workspace, or similar systems
\n \n- \n
Support group management, permissions, and access policies, including Linux group/permission structures
\n \n- \n
Assist with SSO integrations and SaaS application access management
\n \n- \n
Help implement secure access practices aligned with company security requirements
\n \n
\n
Security & Compliance Support
\n
\n- \n
Support implementation and maintenance of endpoint and network security standards and controls
\n \n- \n
Assist with device compliance monitoring, patch management, and security remediation activities across Linux and networked systems
\n \n- \n
Follow established security processes and help improve operational controls
\n \n- \n
Support audits and compliance initiatives through documentation, reporting, and evidence collection
\n \n- \n
Partner with security teams to investigate and remediate endpoint and network-related issues
\n \n
\n
Process Improvement & IT Scaling
\n
\n- \n
Identify opportunities to improve IT workflows, automation, and employee experience
\n \n- \n
Contribute to scalable processes that support Waabi's growth
\n \n- \n
Improve documentation, knowledge sharing, and support practices across the IT organization
\n \n
\n
Qualifications
\n
\n- \n
5+ years of experience in IT systems administration, desktop support, or IT operations roles
\n \n- \n
Strong hands-on Linux administration experience (Ubuntu/Debian or RHEL/CentOS), including command-line proficiency, user/permission management, and troubleshooting
\n \n- \n
Solid networking fundamentals, including TCP/IP, VLANs, DNS/DHCP, routing, firewalls, and VPNs, with hands-on experience troubleshooting switches, routers, and cabling
\n \n- \n
Experience supporting Windows and macOS environments in a business setting
\n \n- \n
Experience administering endpoint management tools such as Microsoft Intune, JumpCloud, Jamf, or similar platforms
\n \n- \n
Experience with identity and access management concepts, including user provisioning, permissions, and authentication
\n \n- \n
Strong troubleshooting skills across hardware, software, networking, and user-facing technologies
\n \n- \n
Ability to prioritize multiple requests while maintaining excellent customer service
\n \n- \n
Strong written and verbal communication skills with the ability to document technical processes clearly and with a customer service mindset
\n \n- \n
Ability to work independently while collaborating effectively with a distributed IT team
\n \n- \n
Willingness to participate in an IT support on-call rotation
\n \n- \n
Ability to lift and move material up to ~50 pounds
\n \n
\n
Preferred Qualifications
\n
\n- \n
Experience administering Linux servers in a production or engineering/R&D environment
\n \n- \n
Networking certification (e.g., CCNA) or equivalent hands-on experience
\n \n- \n
Experience with automation and scripting (Bash, Python, PowerShell, or similar) for systems and network tasks
\n \n- \n
Experience supporting a multi-site organization with both onsite and remote users
\n \n- \n
Experience with Microsoft Entra ID, Google Workspace, Okta, or similar identity platforms
\n \n- \n
Experience with SSO integrations using SAML and SCIM
\n \n- \n
Familiarity with security frameworks such as NIST, ISO 27001, or SOC 2
\n \n- \n
Experience supporting engineering, robotics, or specialized computing/lab environments
\n \n- \n
Experience with office buildouts, vendor coordination, and physical infrastructure projects
\n \n- \n
Experience working in a fast-paced, high-growth technology environment
\n \n
\n
\n
Bonus
\n
\n- \n
Experience working in startups
\n \n- \n
Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
\n \n
\n
\n
The US yearly salary range for this role is: $165,000 - $260,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
\n
\n
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Product","location":"San Francisco, CA","team":"Product & Technical Program Mgmt","allLocations":["San Francisco, CA","Toronto, ON","Pittsburgh, PA","Dallas, TX","Remote US"]},"createdAt":1775667822483,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWe are seeking a Lead Product Manager to lead the strategy and execution of the core autonomy stack that powers the Waabi Driver. This role is central to the success of the business and requires a leader who can bridge the gap between cutting-edge AI research and real-world commercial requirements. You will provide focused ownership and coordination across teams, ensuring that autonomy efforts are aligned with both technical milestones and driverless launch objectives. You will bring the strategic depth and execution rigor needed to manage complexity at this scale, turning advanced autonomy capabilities into a reliable, commercial product.\nYou Will...\nDefine, develop and execute the Autonomy roadmap, aligning core driving capabilities with the company’s driverless and commercial milestones across both the trucking and robotaxi verticals.\nDrive the end-to-end product lifecycle for autonomy features by translating complex use cases into actionable requirements and establishing performance benchmarks for deploying core driving behaviors in the real world.\nLead cross-functional alignment across Engineering, Design, Research, Simulation, Systems Engineering, Safety, and Commercial teams to define product requirements, manage technical trade-offs, and develop frameworks that make autonomy performance measurable and transparent.\nAnalyze performance data and feedback from simulation, track, and road testing to develop a comprehensive understanding of system readiness metrics and systematically prioritize issue resolution.\nBe a team player who prioritizes trust, transparency, and honesty, leading by example in a high-stakes, safety-critical environment.\nMonitor key performance indicators (KPIs) such as ODD coverage, system readiness, and route viability to make data-driven decisions that accelerate commercialization.\n \nQualifications:\nMinimum of 8+ years of experience in a Product Management role, with a proven track record in autonomous vehicles, robotics, or complex AI/ML systems.\nStrong analytical and problem-solving skills to resolve dependencies, inform strategic decisions, and evaluate tradeoffs between performance and safety.\nExcellent communication and interpersonal skills, with significant experience drafting written strategy documents and slides to communicate complex autonomy concepts to diverse stakeholders.\nDemonstrated leadership abilities, with experience driving results and cross-functional alignment in fast-paced, high-growth environments.\nExhibits exceptional empathy, fostering a deep understanding of the needs of internal engineering teams, safety drivers, and commercial partners.\nAdaptable and versatile, proficient at navigating the shift from R&D-heavy environments to product-driven commercial execution.\nAble to maintain progress towards long-term architectural goals while solving immediate operational hurdles.\nPassion for autonomous systems, safety-critical software, and building the \"brain\" of the vehicle that will redefine the future of freight.\nBonus:\nDeep understanding of the autonomy stack (e.g. Perception, Prediction, Motion Planning, Localization) and the nuances of autonomous driving operations.\nExperience defining operational boundaries and safety validation milestones to drive the successful deployment of autonomous features in complex environments.\nTechnical experience in autonomous vehicle development or a background in Computer Science/Robotics.\nExperience working in an Agile/Scrum environment tailored for deep-tech research.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
We are seeking a Lead Product Manager to lead the strategy and execution of the core autonomy stack that powers the Waabi Driver. This role is central to the success of the business and requires a leader who can bridge the gap between cutting-edge AI research and real-world commercial requirements. You will provide focused ownership and coordination across teams, ensuring that autonomy efforts are aligned with both technical milestones and driverless launch objectives. You will bring the strategic depth and execution rigor needed to manage complexity at this scale, turning advanced autonomy capabilities into a reliable, commercial product.
\n
\n
You Will...
\n
\n- Define, develop and execute the Autonomy roadmap, aligning core driving capabilities with the company’s driverless and commercial milestones across both the trucking and robotaxi verticals.
\n- Drive the end-to-end product lifecycle for autonomy features by translating complex use cases into actionable requirements and establishing performance benchmarks for deploying core driving behaviors in the real world.
\n- Lead cross-functional alignment across Engineering, Design, Research, Simulation, Systems Engineering, Safety, and Commercial teams to define product requirements, manage technical trade-offs, and develop frameworks that make autonomy performance measurable and transparent.
\n- Analyze performance data and feedback from simulation, track, and road testing to develop a comprehensive understanding of system readiness metrics and systematically prioritize issue resolution.
\n- Be a team player who prioritizes trust, transparency, and honesty, leading by example in a high-stakes, safety-critical environment.
\n- Monitor key performance indicators (KPIs) such as ODD coverage, system readiness, and route viability to make data-driven decisions that accelerate commercialization.
\n
\n
\n
Qualifications:
\n
\n- Minimum of 8+ years of experience in a Product Management role, with a proven track record in autonomous vehicles, robotics, or complex AI/ML systems.
\n- Strong analytical and problem-solving skills to resolve dependencies, inform strategic decisions, and evaluate tradeoffs between performance and safety.
\n- Excellent communication and interpersonal skills, with significant experience drafting written strategy documents and slides to communicate complex autonomy concepts to diverse stakeholders.
\n- Demonstrated leadership abilities, with experience driving results and cross-functional alignment in fast-paced, high-growth environments.
\n- Exhibits exceptional empathy, fostering a deep understanding of the needs of internal engineering teams, safety drivers, and commercial partners.
\n- Adaptable and versatile, proficient at navigating the shift from R&D-heavy environments to product-driven commercial execution.
\n- Able to maintain progress towards long-term architectural goals while solving immediate operational hurdles.
\n- Passion for autonomous systems, safety-critical software, and building the \"brain\" of the vehicle that will redefine the future of freight.
\n
\n
Bonus:
\n
\n- Deep understanding of the autonomy stack (e.g. Perception, Prediction, Motion Planning, Localization) and the nuances of autonomous driving operations.
\n- Experience defining operational boundaries and safety validation milestones to drive the successful deployment of autonomous features in complex environments.
\n- Technical experience in autonomous vehicle development or a background in Computer Science/Robotics.
\n- Experience working in an Agile/Scrum environment tailored for deep-tech research.
\n
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
We are seeking a Lead Product Manager to lead the strategy and execution of the core autonomy stack that powers the Waabi Driver. This role is central to the success of the business and requires a leader who can bridge the gap between cutting-edge AI research and real-world commercial requirements. You will provide focused ownership and coordination across teams, ensuring that autonomy efforts are aligned with both technical milestones and driverless launch objectives. You will bring the strategic depth and execution rigor needed to manage complexity at this scale, turning advanced autonomy capabilities into a reliable, commercial product.
\n
\n
You Will...
\n
\n- Define, develop and execute the Autonomy roadmap, aligning core driving capabilities with the company’s driverless and commercial milestones across both the trucking and robotaxi verticals.
\n- Drive the end-to-end product lifecycle for autonomy features by translating complex use cases into actionable requirements and establishing performance benchmarks for deploying core driving behaviors in the real world.
\n- Lead cross-functional alignment across Engineering, Design, Research, Simulation, Systems Engineering, Safety, and Commercial teams to define product requirements, manage technical trade-offs, and develop frameworks that make autonomy performance measurable and transparent.
\n- Analyze performance data and feedback from simulation, track, and road testing to develop a comprehensive understanding of system readiness metrics and systematically prioritize issue resolution.
\n- Be a team player who prioritizes trust, transparency, and honesty, leading by example in a high-stakes, safety-critical environment.
\n- Monitor key performance indicators (KPIs) such as ODD coverage, system readiness, and route viability to make data-driven decisions that accelerate commercialization.
\n
\n
\n
Qualifications:
\n
\n- Minimum of 8+ years of experience in a Product Management role, with a proven track record in autonomous vehicles, robotics, or complex AI/ML systems.
\n- Strong analytical and problem-solving skills to resolve dependencies, inform strategic decisions, and evaluate tradeoffs between performance and safety.
\n- Excellent communication and interpersonal skills, with significant experience drafting written strategy documents and slides to communicate complex autonomy concepts to diverse stakeholders.
\n- Demonstrated leadership abilities, with experience driving results and cross-functional alignment in fast-paced, high-growth environments.
\n- Exhibits exceptional empathy, fostering a deep understanding of the needs of internal engineering teams, safety drivers, and commercial partners.
\n- Adaptable and versatile, proficient at navigating the shift from R&D-heavy environments to product-driven commercial execution.
\n- Able to maintain progress towards long-term architectural goals while solving immediate operational hurdles.
\n- Passion for autonomous systems, safety-critical software, and building the \"brain\" of the vehicle that will redefine the future of freight.
\n
\n
Bonus:
\n
\n- Deep understanding of the autonomy stack (e.g. Perception, Prediction, Motion Planning, Localization) and the nuances of autonomous driving operations.
\n- Experience defining operational boundaries and safety validation milestones to drive the successful deployment of autonomous features in complex environments.
\n- Technical experience in autonomous vehicle development or a background in Computer Science/Robotics.
\n- Experience working in an Agile/Scrum environment tailored for deep-tech research.
\n
\n
The US yearly salary range for this role is: $171,000 - $243,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Product","location":"Toronto, ON","team":"Product & Technical Program Mgmt","allLocations":["Toronto, ON","San Francisco, CA","Pittsburgh, PA","Remote US & Canada"]},"createdAt":1784046449945,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nThe Lead Technical Program Manager - Platform Integration owns program-level execution across Waabi's platform programs, with a focus on cross-functional integration between hardware development, onboard software, embedded systems, autonomy, safety, and operations. You are the connective tissue between teams that operate on fundamentally different cadences: embedded software with kanban-based delivery, autonomy research with probabilistic timelines, and safety validation with methodical gate-based requirements. You will surface where those cadences collide, identify gaps in requirements and execution, map the critical path accurately, and ensure risks are visible and owned so we maintain velocity and deliver on time.\n \nYou Will..\nDefine and maintain integrated platform program plans covering key milestones, cross-team dependencies, and ensure on-time delivery.\nEnsure all stakeholder inputs are captured and integrated into program plans before design commitments lock in.\nBuild and enforce dependency maps across Hardware, Software, Systems and Safety, and Ops, identify the critical path, and ensure every dependency has an owner and an ETA.\nOwn reporting into executive forums. Surface risks early with data-backed Path to Green options, not just status updates.\nTrack system VnV and overall test campaigns, ensuring test coverage, sign-off readiness, and milestone alignment across teams.\nBuild cross-functional roadmaps that give hardware, software, and autonomy a shared line of sight on interdependencies and sequencing.\nChampion tools to capture the single source of truth for program work, ensuring consistency across programs.\nBuild scalable tracking mechanisms and systematic processes that work at fleet scale.\n \nTechnical breadth. Ask the right questions, spot unrealistic assumptions in a plan, and know when a dependency is a real blocker versus a process gap. You can engage with engineers across hardware, embedded software, autonomy, and safety without needing to be a domain expert in any one area.\n \nSelf-starter who builds processes from scratch. Build processes and iterate based on what actually works and impose structure without creating overhead.\n \nCross-functional influencer. Work on highly cross functional programs spanning embedded software, onboard software, hardware, autonomy, safety, and operations. \n \nRisk-first mindset. Surface problems early, escalate without hesitation, and always arrive with options. You can dive deep and bring clarity to status updates and a Path to Green.\n \nComfort with ambiguity. Thrive in bringing clarity and structure to ambiguity and convert ambitious goals into programs with hard success criteria, DRIs, and trackable milestones.\n \n \nRequired Qualifications:\n6+ years of technical program management experience, with a strong focus on cross-functional hardware, software and systems integration programs.\nDemonstrated experience working across teams with meaningfully different development cadences (e.g., robotics, autonomous vehicles, industrial automation, IoT, or defense systems).\nProven ability to build cross-functional program structure from scratch: dependency maps, risk registries, executive reporting, and milestone tracking.\nStrong written and verbal communication. You can write a crisp one-pager for an executive audience and facilitate a working-level dependency review with engineers in the same week.\nExperience in autonomous vehicles, robotics, or advanced driver-assistance systems (ADAS).\nHands-on experience with program tracking tools like Jira, Asana and Microsoft Project.\nDemonstrated use of AI tools to improve program visibility, reduce manual overhead, or accelerate decision-making.\nPreferred Qualifications:\nFamiliarity with embedded systems and software development and the constraints that come with it.\nFamiliarity with ML development workflows and an understanding of how model iteration cadences interact with hardware and software delivery timelines. Experience working alongside ML or AI research teams in a program capacity is a plus.\nExperience establishing or scaling a triage process for field issues across engineering teams.\nBackground in systems engineering, computer engineering, electrical engineering, or a related technical discipline.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
The Lead Technical Program Manager - Platform Integration owns program-level execution across Waabi's platform programs, with a focus on cross-functional integration between hardware development, onboard software, embedded systems, autonomy, safety, and operations. You are the connective tissue between teams that operate on fundamentally different cadences: embedded software with kanban-based delivery, autonomy research with probabilistic timelines, and safety validation with methodical gate-based requirements. You will surface where those cadences collide, identify gaps in requirements and execution, map the critical path accurately, and ensure risks are visible and owned so we maintain velocity and deliver on time.
\n
\nYou Will..
\n\n- Define and maintain integrated platform program plans covering key milestones, cross-team dependencies, and ensure on-time delivery.
\n- Ensure all stakeholder inputs are captured and integrated into program plans before design commitments lock in.
\n- Build and enforce dependency maps across Hardware, Software, Systems and Safety, and Ops, identify the critical path, and ensure every dependency has an owner and an ETA.
\n- Own reporting into executive forums. Surface risks early with data-backed Path to Green options, not just status updates.
\n- Track system VnV and overall test campaigns, ensuring test coverage, sign-off readiness, and milestone alignment across teams.
\n- Build cross-functional roadmaps that give hardware, software, and autonomy a shared line of sight on interdependencies and sequencing.
\n- Champion tools to capture the single source of truth for program work, ensuring consistency across programs.
\n- Build scalable tracking mechanisms and systematic processes that work at fleet scale.
\n
\n
\nTechnical breadth. Ask the right questions, spot unrealistic assumptions in a plan, and know when a dependency is a real blocker versus a process gap. You can engage with engineers across hardware, embedded software, autonomy, and safety without needing to be a domain expert in any one area.
\n
\nSelf-starter who builds processes from scratch. Build processes and iterate based on what actually works and impose structure without creating overhead.
Cross-functional influencer. Work on highly cross functional programs spanning embedded software, onboard software, hardware, autonomy, safety, and operations.
Risk-first mindset. Surface problems early, escalate without hesitation, and always arrive with options. You can dive deep and bring clarity to status updates and a Path to Green.
Comfort with ambiguity. Thrive in bringing clarity and structure to ambiguity and convert ambitious goals into programs with hard success criteria, DRIs, and trackable milestones.
\n
\n
\nRequired Qualifications:
\n\n- 6+ years of technical program management experience, with a strong focus on cross-functional hardware, software and systems integration programs.
\n- Demonstrated experience working across teams with meaningfully different development cadences (e.g., robotics, autonomous vehicles, industrial automation, IoT, or defense systems).
\n- Proven ability to build cross-functional program structure from scratch: dependency maps, risk registries, executive reporting, and milestone tracking.
\n- Strong written and verbal communication. You can write a crisp one-pager for an executive audience and facilitate a working-level dependency review with engineers in the same week.
\n- Experience in autonomous vehicles, robotics, or advanced driver-assistance systems (ADAS).
\n- Hands-on experience with program tracking tools like Jira, Asana and Microsoft Project.
\n- Demonstrated use of AI tools to improve program visibility, reduce manual overhead, or accelerate decision-making.
\n
\nPreferred Qualifications:
\n\n- Familiarity with embedded systems and software development and the constraints that come with it.
\n- Familiarity with ML development workflows and an understanding of how model iteration cadences interact with hardware and software delivery timelines. Experience working alongside ML or AI research teams in a program capacity is a plus.
\n- Experience establishing or scaling a triage process for field issues across engineering teams.
\n- Background in systems engineering, computer engineering, electrical engineering, or a related technical discipline.
\n
","id":"fc6553a1-eff7-4f79-96fb-1cf97dcb866d","lists":[],"text":"Lead Technical Program Manager, Platform Integration","country":"CA","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"The Lead Technical Program Manager - Platform Integration owns program-level execution across Waabi's platform programs, with a focus on cross-functional integration between hardware development, onboard software, embedded systems, autonomy, safety, and operations. You are the connective tissue between teams that operate on fundamentally different cadences: embedded software with kanban-based delivery, autonomy research with probabilistic timelines, and safety validation with methodical gate-based requirements. You will surface where those cadences collide, identify gaps in requirements and execution, map the critical path accurately, and ensure risks are visible and owned so we maintain velocity and deliver on time.
\n
\nYou Will..
\n\n- Define and maintain integrated platform program plans covering key milestones, cross-team dependencies, and ensure on-time delivery.
\n- Ensure all stakeholder inputs are captured and integrated into program plans before design commitments lock in.
\n- Build and enforce dependency maps across Hardware, Software, Systems and Safety, and Ops, identify the critical path, and ensure every dependency has an owner and an ETA.
\n- Own reporting into executive forums. Surface risks early with data-backed Path to Green options, not just status updates.
\n- Track system VnV and overall test campaigns, ensuring test coverage, sign-off readiness, and milestone alignment across teams.
\n- Build cross-functional roadmaps that give hardware, software, and autonomy a shared line of sight on interdependencies and sequencing.
\n- Champion tools to capture the single source of truth for program work, ensuring consistency across programs.
\n- Build scalable tracking mechanisms and systematic processes that work at fleet scale.
\n
\n
\nTechnical breadth. Ask the right questions, spot unrealistic assumptions in a plan, and know when a dependency is a real blocker versus a process gap. You can engage with engineers across hardware, embedded software, autonomy, and safety without needing to be a domain expert in any one area.
\n
\nSelf-starter who builds processes from scratch. Build processes and iterate based on what actually works and impose structure without creating overhead.
Cross-functional influencer. Work on highly cross functional programs spanning embedded software, onboard software, hardware, autonomy, safety, and operations.
Risk-first mindset. Surface problems early, escalate without hesitation, and always arrive with options. You can dive deep and bring clarity to status updates and a Path to Green.
Comfort with ambiguity. Thrive in bringing clarity and structure to ambiguity and convert ambitious goals into programs with hard success criteria, DRIs, and trackable milestones.
\n
\n
\nRequired Qualifications:
\n\n- 6+ years of technical program management experience, with a strong focus on cross-functional hardware, software and systems integration programs.
\n- Demonstrated experience working across teams with meaningfully different development cadences (e.g., robotics, autonomous vehicles, industrial automation, IoT, or defense systems).
\n- Proven ability to build cross-functional program structure from scratch: dependency maps, risk registries, executive reporting, and milestone tracking.
\n- Strong written and verbal communication. You can write a crisp one-pager for an executive audience and facilitate a working-level dependency review with engineers in the same week.
\n- Experience in autonomous vehicles, robotics, or advanced driver-assistance systems (ADAS).
\n- Hands-on experience with program tracking tools like Jira, Asana and Microsoft Project.
\n- Demonstrated use of AI tools to improve program visibility, reduce manual overhead, or accelerate decision-making.
\n
\nPreferred Qualifications:
\n\n- Familiarity with embedded systems and software development and the constraints that come with it.
\n- Familiarity with ML development workflows and an understanding of how model iteration cadences interact with hardware and software delivery timelines. Experience working alongside ML or AI research teams in a program capacity is a plus.
\n- Experience establishing or scaling a triage process for field issues across engineering teams.
\n- Background in systems engineering, computer engineering, electrical engineering, or a related technical discipline.
\n
","descriptionBodyPlain":"The Lead Technical Program Manager - Platform Integration owns program-level execution across Waabi's platform programs, with a focus on cross-functional integration between hardware development, onboard software, embedded systems, autonomy, safety, and operations. You are the connective tissue between teams that operate on fundamentally different cadences: embedded software with kanban-based delivery, autonomy research with probabilistic timelines, and safety validation with methodical gate-based requirements. You will surface where those cadences collide, identify gaps in requirements and execution, map the critical path accurately, and ensure risks are visible and owned so we maintain velocity and deliver on time.\n \nYou Will..\nDefine and maintain integrated platform program plans covering key milestones, cross-team dependencies, and ensure on-time delivery.\nEnsure all stakeholder inputs are captured and integrated into program plans before design commitments lock in.\nBuild and enforce dependency maps across Hardware, Software, Systems and Safety, and Ops, identify the critical path, and ensure every dependency has an owner and an ETA.\nOwn reporting into executive forums. Surface risks early with data-backed Path to Green options, not just status updates.\nTrack system VnV and overall test campaigns, ensuring test coverage, sign-off readiness, and milestone alignment across teams.\nBuild cross-functional roadmaps that give hardware, software, and autonomy a shared line of sight on interdependencies and sequencing.\nChampion tools to capture the single source of truth for program work, ensuring consistency across programs.\nBuild scalable tracking mechanisms and systematic processes that work at fleet scale.\n \nTechnical breadth. Ask the right questions, spot unrealistic assumptions in a plan, and know when a dependency is a real blocker versus a process gap. You can engage with engineers across hardware, embedded software, autonomy, and safety without needing to be a domain expert in any one area.\n \nSelf-starter who builds processes from scratch. Build processes and iterate based on what actually works and impose structure without creating overhead.\n \nCross-functional influencer. Work on highly cross functional programs spanning embedded software, onboard software, hardware, autonomy, safety, and operations. \n \nRisk-first mindset. Surface problems early, escalate without hesitation, and always arrive with options. You can dive deep and bring clarity to status updates and a Path to Green.\n \nComfort with ambiguity. Thrive in bringing clarity and structure to ambiguity and convert ambitious goals into programs with hard success criteria, DRIs, and trackable milestones.\n \n \nRequired Qualifications:\n6+ years of technical program management experience, with a strong focus on cross-functional hardware, software and systems integration programs.\nDemonstrated experience working across teams with meaningfully different development cadences (e.g., robotics, autonomous vehicles, industrial automation, IoT, or defense systems).\nProven ability to build cross-functional program structure from scratch: dependency maps, risk registries, executive reporting, and milestone tracking.\nStrong written and verbal communication. You can write a crisp one-pager for an executive audience and facilitate a working-level dependency review with engineers in the same week.\nExperience in autonomous vehicles, robotics, or advanced driver-assistance systems (ADAS).\nHands-on experience with program tracking tools like Jira, Asana and Microsoft Project.\nDemonstrated use of AI tools to improve program visibility, reduce manual overhead, or accelerate decision-making.\nPreferred Qualifications:\nFamiliarity with embedded systems and software development and the constraints that come with it.\nFamiliarity with ML development workflows and an understanding of how model iteration cadences interact with hardware and software delivery timelines. Experience working alongside ML or AI research teams in a program capacity is a plus.\nExperience establishing or scaling a triage process for field issues across engineering teams.\nBackground in systems engineering, computer engineering, electrical engineering, or a related technical discipline.\n","hostedUrl":"https://jobs.lever.co/waabi/fc6553a1-eff7-4f79-96fb-1cf97dcb866d","applyUrl":"https://jobs.lever.co/waabi/fc6553a1-eff7-4f79-96fb-1cf97dcb866d/apply"},{"additionalPlain":"Perks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Hardware","location":"Pittsburgh, PA","team":"Mechanical Engineering","allLocations":["Pittsburgh, PA"]},"createdAt":1773692508809,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\nBe responsible for mechanical design, assembly, test and integration of sensors, compute, modules, and actuation systems.\nWork closely with the software team to define and convert perception, planning, and control requirements into hardware specifications.\nDesign for automotive requirements and environmental challenges.\nSupport prototype and production module builds.\nManager relationships with suppliers and external partners\nDiagnose and drive resolution of technical issues.\n \nQualifications:\nBachelors of Science in Mechanical Engineering or similar fields.\nProficient with Solidworks.\nExperience with technical drawing tolerancing for various manufacturing operations.\nExperience with fundamentals of Finite Element Analysis (FEA).\nExperience with PLM tools and document revision control.\nTest and qualify mechanical designs for on road vehicle use.\nExperience with various designs for manufacturing processes like sheet metal, injection molding, stamping, die cast, etc.\nTechnical ownership of hardware development from prototype to production.\nPresent mechanical solutions to cross functional teams.\n \nBonus Qualifications:\nAutonomous Vehicle and/or automotive industry experience is a plus.\nSurfacing experience is a plus.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
You will...
\n
\n- Be responsible for mechanical design, assembly, test and integration of sensors, compute, modules, and actuation systems.
\n- Work closely with the software team to define and convert perception, planning, and control requirements into hardware specifications.
\n- Design for automotive requirements and environmental challenges.
\n- Support prototype and production module builds.
\n- Manager relationships with suppliers and external partners
\n- Diagnose and drive resolution of technical issues.
\n
\n
\n
Qualifications:
\n
\n- Bachelors of Science in Mechanical Engineering or similar fields.
\n- Proficient with Solidworks.
\n- Experience with technical drawing tolerancing for various manufacturing operations.
\n- Experience with fundamentals of Finite Element Analysis (FEA).
\n- Experience with PLM tools and document revision control.
\n- Test and qualify mechanical designs for on road vehicle use.
\n- Experience with various designs for manufacturing processes like sheet metal, injection molding, stamping, die cast, etc.
\n- Technical ownership of hardware development from prototype to production.
\n- Present mechanical solutions to cross functional teams.
\n
\n
\n
Bonus Qualifications:
\n
\n- Autonomous Vehicle and/or automotive industry experience is a plus.
\n- Surfacing experience is a plus.
\n
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
You will...
\n
\n- Be responsible for mechanical design, assembly, test and integration of sensors, compute, modules, and actuation systems.
\n- Work closely with the software team to define and convert perception, planning, and control requirements into hardware specifications.
\n- Design for automotive requirements and environmental challenges.
\n- Support prototype and production module builds.
\n- Manager relationships with suppliers and external partners
\n- Diagnose and drive resolution of technical issues.
\n
\n
\n
Qualifications:
\n
\n- Bachelors of Science in Mechanical Engineering or similar fields.
\n- Proficient with Solidworks.
\n- Experience with technical drawing tolerancing for various manufacturing operations.
\n- Experience with fundamentals of Finite Element Analysis (FEA).
\n- Experience with PLM tools and document revision control.
\n- Test and qualify mechanical designs for on road vehicle use.
\n- Experience with various designs for manufacturing processes like sheet metal, injection molding, stamping, die cast, etc.
\n- Technical ownership of hardware development from prototype to production.
\n- Present mechanical solutions to cross functional teams.
\n
\n
\n
Bonus Qualifications:
\n
\n- Autonomous Vehicle and/or automotive industry experience is a plus.
\n- Surfacing experience is a plus.
\n
\n
\n
The US yearly salary range for this role is: $125,000 - $190,000 USD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.
\n
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Dallas, TX","team":"Software Engineering","allLocations":["Dallas, TX"]},"createdAt":1784736024135,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nAs Waabi continues to grow rapidly, the Physical Infrastructure team is looking for hands-on engineer near Dallas, TX to build and support computers and network systems powering our autonomous fleet!\n \nDo you run an unnecessarily complex home lab just for the joy of building, tinkering, and optimizing it? Are you passionate about modern hardware, love tackling though linux problems, and thrive on designing better systems from scratch? If so, we'd love to talk! \n \nThe ideal candidate would partner closely with the Vehicle Fleet Operations and Hardware teams to support and implement vehicle computers and networks as well as contribute to solutions to move large amount of data from vehicles. \n \nYou will...\n- Work alongside a team of multidisciplinary Engineers to enable safe self-driving at Scale.\n- Collaborate with hardware team on vehicle compute and network implementation.\n- Work with software and hardware teams on OS and software delivery into vehicles.\n- Assist with vehicle compute, network, and sensors diagnostics as needed.\n- Work with software and hardware teams to implement and maintain high volume data pipelines.\n- Build tools, systems and infrastructure to support vehicle development.\n- Collaborate with IT on facility infrastructure where necessary.\n- Participate in on-call program to support vehicle operations.\n \nQualifications:\n- BS, MS/PhD in Computer Science or similar technical field of study or equivalent practical experience.\n- 2+ years of relevant industry experience.\n- Good understanding of computer and network hardware.\n- Experience with on-premise servers and storage systems.\n- Experience working with Linux operating systems.\n- Experience building and running Docker containers.\n- Experience with Python and Bash.\n- Open-minded and collaborative team player with the willingness to help others.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus:\n- Ability to travel occasionally within the United States.\n- Experience with rugged wireless technologies (ie. LTE/5G modems).\n- Experience with scale-out storage systems.\n- Experience working with public cloud platforms (AWS preferred).\n- Experience with infrastructure as code systems (Ansible and Terraform preferred).\n- Familiarity with security concepts, access management, and data security. \n- Experience with automated building of OS images for deployment onto physical computers.\n- Familiarity with self-driving vehicle sensors and hardware.\n- Some experience in reading and developing production quality software.\n- Familiarity with GO, Rust or C++ ecosystems.\n- Experience with building platform services that enable other teams to do their best work.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
As Waabi continues to grow rapidly, the Physical Infrastructure team is looking for hands-on engineer near Dallas, TX to build and support computers and network systems powering our autonomous fleet!
\n
\nDo you run an unnecessarily complex home lab just for the joy of building, tinkering, and optimizing it? Are you passionate about modern hardware, love tackling though linux problems, and thrive on designing better systems from scratch? If so, we'd love to talk!
\n
\nThe ideal candidate would partner closely with the Vehicle Fleet Operations and Hardware teams to support and implement vehicle computers and networks as well as contribute to solutions to move large amount of data from vehicles.
\n
\nYou will...
\n- Work alongside a team of multidisciplinary Engineers to enable safe self-driving at Scale.
\n- Collaborate with hardware team on vehicle compute and network implementation.
\n- Work with software and hardware teams on OS and software delivery into vehicles.
\n- Assist with vehicle compute, network, and sensors diagnostics as needed.
\n- Work with software and hardware teams to implement and maintain high volume data pipelines.
\n- Build tools, systems and infrastructure to support vehicle development.
\n- Collaborate with IT on facility infrastructure where necessary.
\n- Participate in on-call program to support vehicle operations.
\n
\nQualifications:
\n- BS, MS/PhD in Computer Science or similar technical field of study or equivalent practical experience.
\n- 2+ years of relevant industry experience.
\n- Good understanding of computer and network hardware.
\n- Experience with on-premise servers and storage systems.
\n- Experience working with Linux operating systems.
\n- Experience building and running Docker containers.
\n- Experience with Python and Bash.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\nBonus:
\n- Ability to travel occasionally within the United States.
\n- Experience with rugged wireless technologies (ie. LTE/5G modems).
\n- Experience with scale-out storage systems.
\n- Experience working with public cloud platforms (AWS preferred).
\n- Experience with infrastructure as code systems (Ansible and Terraform preferred).
\n- Familiarity with security concepts, access management, and data security.
\n- Experience with automated building of OS images for deployment onto physical computers.
\n- Familiarity with self-driving vehicle sensors and hardware.
\n- Some experience in reading and developing production quality software.
\n- Familiarity with GO, Rust or C++ ecosystems.
\n- Experience with building platform services that enable other teams to do their best work.
","id":"933f2e35-ffaf-41db-b836-56de0323f519","lists":[],"text":"Physical Infrastructure Engineer (On-premise)","country":"US","workplaceType":"onsite","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"As Waabi continues to grow rapidly, the Physical Infrastructure team is looking for hands-on engineer near Dallas, TX to build and support computers and network systems powering our autonomous fleet!
\n
\nDo you run an unnecessarily complex home lab just for the joy of building, tinkering, and optimizing it? Are you passionate about modern hardware, love tackling though linux problems, and thrive on designing better systems from scratch? If so, we'd love to talk!
\n
\nThe ideal candidate would partner closely with the Vehicle Fleet Operations and Hardware teams to support and implement vehicle computers and networks as well as contribute to solutions to move large amount of data from vehicles.
\n
\nYou will...
\n- Work alongside a team of multidisciplinary Engineers to enable safe self-driving at Scale.
\n- Collaborate with hardware team on vehicle compute and network implementation.
\n- Work with software and hardware teams on OS and software delivery into vehicles.
\n- Assist with vehicle compute, network, and sensors diagnostics as needed.
\n- Work with software and hardware teams to implement and maintain high volume data pipelines.
\n- Build tools, systems and infrastructure to support vehicle development.
\n- Collaborate with IT on facility infrastructure where necessary.
\n- Participate in on-call program to support vehicle operations.
\n
\nQualifications:
\n- BS, MS/PhD in Computer Science or similar technical field of study or equivalent practical experience.
\n- 2+ years of relevant industry experience.
\n- Good understanding of computer and network hardware.
\n- Experience with on-premise servers and storage systems.
\n- Experience working with Linux operating systems.
\n- Experience building and running Docker containers.
\n- Experience with Python and Bash.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\nBonus:
\n- Ability to travel occasionally within the United States.
\n- Experience with rugged wireless technologies (ie. LTE/5G modems).
\n- Experience with scale-out storage systems.
\n- Experience working with public cloud platforms (AWS preferred).
\n- Experience with infrastructure as code systems (Ansible and Terraform preferred).
\n- Familiarity with security concepts, access management, and data security.
\n- Experience with automated building of OS images for deployment onto physical computers.
\n- Familiarity with self-driving vehicle sensors and hardware.
\n- Some experience in reading and developing production quality software.
\n- Familiarity with GO, Rust or C++ ecosystems.
\n- Experience with building platform services that enable other teams to do their best work.
","descriptionBodyPlain":"As Waabi continues to grow rapidly, the Physical Infrastructure team is looking for hands-on engineer near Dallas, TX to build and support computers and network systems powering our autonomous fleet!\n \nDo you run an unnecessarily complex home lab just for the joy of building, tinkering, and optimizing it? Are you passionate about modern hardware, love tackling though linux problems, and thrive on designing better systems from scratch? If so, we'd love to talk! \n \nThe ideal candidate would partner closely with the Vehicle Fleet Operations and Hardware teams to support and implement vehicle computers and networks as well as contribute to solutions to move large amount of data from vehicles. \n \nYou will...\n- Work alongside a team of multidisciplinary Engineers to enable safe self-driving at Scale.\n- Collaborate with hardware team on vehicle compute and network implementation.\n- Work with software and hardware teams on OS and software delivery into vehicles.\n- Assist with vehicle compute, network, and sensors diagnostics as needed.\n- Work with software and hardware teams to implement and maintain high volume data pipelines.\n- Build tools, systems and infrastructure to support vehicle development.\n- Collaborate with IT on facility infrastructure where necessary.\n- Participate in on-call program to support vehicle operations.\n \nQualifications:\n- BS, MS/PhD in Computer Science or similar technical field of study or equivalent practical experience.\n- 2+ years of relevant industry experience.\n- Good understanding of computer and network hardware.\n- Experience with on-premise servers and storage systems.\n- Experience working with Linux operating systems.\n- Experience building and running Docker containers.\n- Experience with Python and Bash.\n- Open-minded and collaborative team player with the willingness to help others.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus:\n- Ability to travel occasionally within the United States.\n- Experience with rugged wireless technologies (ie. LTE/5G modems).\n- Experience with scale-out storage systems.\n- Experience working with public cloud platforms (AWS preferred).\n- Experience with infrastructure as code systems (Ansible and Terraform preferred).\n- Familiarity with security concepts, access management, and data security. \n- Experience with automated building of OS images for deployment onto physical computers.\n- Familiarity with self-driving vehicle sensors and hardware.\n- Some experience in reading and developing production quality software.\n- Familiarity with GO, Rust or C++ ecosystems.\n- Experience with building platform services that enable other teams to do their best work.\n","hostedUrl":"https://jobs.lever.co/waabi/933f2e35-ffaf-41db-b836-56de0323f519","applyUrl":"https://jobs.lever.co/waabi/933f2e35-ffaf-41db-b836-56de0323f519/apply"},{"additionalPlain":"The US yearly salary range for this role is: $147,932 - $291,612 USD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.\n\n\nPerks/Benefits:\nWaabi provides a competitive benefits package that includes:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits that include Medical, Vision and Dental coverage.\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n \n","additional":"The US yearly salary range for this role is: $147,932 - $291,612 USD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.
Perks/Benefits:
\nWaabi provides a competitive benefits package that includes:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits that include Medical, Vision and Dental coverage.
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
\n
","categories":{"commitment":"Full-time","department":"Systems Engineering and Safety","location":"Phoenix, AZ","team":"Systems Engineering","allLocations":["Phoenix, AZ","San Francisco, CA","Pittsburgh, PA"]},"createdAt":1772599500874,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\n- Create Autonomous Vehicle (AV) Requirements using analytical and numerical methods, with focus on motion planning, motion control and Vehicle Dynamics (VD).\n- Own the definition and requirements development of the Motion Planning, Motion Control and low level vehicle control contract.\n- Create methods and use physical and simulated data to inform and verify principled requirements\nAdvance VD simulation in AVs.\n \nQualifications:\n- Strong foundation in AV systems in motion planning, motion control and VD and low level actuator control.\n- Strong physics and control systems knowledge.\n- Knowledge of Systems Engineering and Verification and Validation (V&V) best practices.\n- Knowledge of functional safety standards (i.e. ISO 26262).\n- Comprehensive coding skills in Python, or other common programming languages.\n- Risk modeling, translating probabilistic safety goals into physical metrics, and quantifying system uncertainty (including correlated errors).\n- Requirements decomposition from high-level safety goals into detailed, verifiable functional and technical requirements for a Level 4 AV system.\n- Experience in VD simulation (use) and VD tools development (build).\n \nBonus:\n- Applied and proven experience in building end to end motion planning and control systems systems.\n- Commercial trucking actuator system and truck dynamics and control.\n- Applied and proven experience of optimal control systems.\n- A strong passion for robotics systems and an intuitive understanding of actual electro-mechanical problems in the context of self-driving or robotics.\n- Coding in Rust and using build and test automation tools.\n \n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will...
\n- Create Autonomous Vehicle (AV) Requirements using analytical and numerical methods, with focus on motion planning, motion control and Vehicle Dynamics (VD).
\n- Own the definition and requirements development of the Motion Planning, Motion Control and low level vehicle control contract.
\n- Create methods and use physical and simulated data to inform and verify principled requirements
\nAdvance VD simulation in AVs.
\n
\nQualifications:
\n- Strong foundation in AV systems in motion planning, motion control and VD and low level actuator control.
\n- Strong physics and control systems knowledge.
\n- Knowledge of Systems Engineering and Verification and Validation (V&V) best practices.
\n- Knowledge of functional safety standards (i.e. ISO 26262).
\n- Comprehensive coding skills in Python, or other common programming languages.
\n- Risk modeling, translating probabilistic safety goals into physical metrics, and quantifying system uncertainty (including correlated errors).
\n- Requirements decomposition from high-level safety goals into detailed, verifiable functional and technical requirements for a Level 4 AV system.
\n- Experience in VD simulation (use) and VD tools development (build).
\n
\nBonus:
\n- Applied and proven experience in building end to end motion planning and control systems systems.
\n- Commercial trucking actuator system and truck dynamics and control.
\n- Applied and proven experience of optimal control systems.
\n- A strong passion for robotics systems and an intuitive understanding of actual electro-mechanical problems in the context of self-driving or robotics.
\n- Coding in Rust and using build and test automation tools.
\n
","id":"5fcde68c-577a-4fed-b532-793fec8de175","lists":[],"text":"Platform Systems Engineer; Motion Planning and Control","country":"US","workplaceType":"onsite","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will...
\n- Create Autonomous Vehicle (AV) Requirements using analytical and numerical methods, with focus on motion planning, motion control and Vehicle Dynamics (VD).
\n- Own the definition and requirements development of the Motion Planning, Motion Control and low level vehicle control contract.
\n- Create methods and use physical and simulated data to inform and verify principled requirements
\nAdvance VD simulation in AVs.
\n
\nQualifications:
\n- Strong foundation in AV systems in motion planning, motion control and VD and low level actuator control.
\n- Strong physics and control systems knowledge.
\n- Knowledge of Systems Engineering and Verification and Validation (V&V) best practices.
\n- Knowledge of functional safety standards (i.e. ISO 26262).
\n- Comprehensive coding skills in Python, or other common programming languages.
\n- Risk modeling, translating probabilistic safety goals into physical metrics, and quantifying system uncertainty (including correlated errors).
\n- Requirements decomposition from high-level safety goals into detailed, verifiable functional and technical requirements for a Level 4 AV system.
\n- Experience in VD simulation (use) and VD tools development (build).
\n
\nBonus:
\n- Applied and proven experience in building end to end motion planning and control systems systems.
\n- Commercial trucking actuator system and truck dynamics and control.
\n- Applied and proven experience of optimal control systems.
\n- A strong passion for robotics systems and an intuitive understanding of actual electro-mechanical problems in the context of self-driving or robotics.
\n- Coding in Rust and using build and test automation tools.
\n
","descriptionBodyPlain":"You will...\n- Create Autonomous Vehicle (AV) Requirements using analytical and numerical methods, with focus on motion planning, motion control and Vehicle Dynamics (VD).\n- Own the definition and requirements development of the Motion Planning, Motion Control and low level vehicle control contract.\n- Create methods and use physical and simulated data to inform and verify principled requirements\nAdvance VD simulation in AVs.\n \nQualifications:\n- Strong foundation in AV systems in motion planning, motion control and VD and low level actuator control.\n- Strong physics and control systems knowledge.\n- Knowledge of Systems Engineering and Verification and Validation (V&V) best practices.\n- Knowledge of functional safety standards (i.e. ISO 26262).\n- Comprehensive coding skills in Python, or other common programming languages.\n- Risk modeling, translating probabilistic safety goals into physical metrics, and quantifying system uncertainty (including correlated errors).\n- Requirements decomposition from high-level safety goals into detailed, verifiable functional and technical requirements for a Level 4 AV system.\n- Experience in VD simulation (use) and VD tools development (build).\n \nBonus:\n- Applied and proven experience in building end to end motion planning and control systems systems.\n- Commercial trucking actuator system and truck dynamics and control.\n- Applied and proven experience of optimal control systems.\n- A strong passion for robotics systems and an intuitive understanding of actual electro-mechanical problems in the context of self-driving or robotics.\n- Coding in Rust and using build and test automation tools.\n \n","hostedUrl":"https://jobs.lever.co/waabi/5fcde68c-577a-4fed-b532-793fec8de175","applyUrl":"https://jobs.lever.co/waabi/5fcde68c-577a-4fed-b532-793fec8de175/apply"},{"additionalPlain":"The US yearly salary range for this role is: $147,932 - $291,612 USD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.\n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"The US yearly salary range for this role is: $147,932 - $291,612 USD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Systems Engineering and Safety","location":"Phoenix, AZ","team":"Systems Engineering","allLocations":["Phoenix, AZ","San Francisco, CA","Pittsburgh, PA"]},"createdAt":1774646386263,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\n- Drive Technical Execution: Lead the end-to-end systems engineering lifecycle for the Sensing, Perception, Maps, and Localization domains, ensuring timely delivery of robust solutions across hardware and software teams.\n- Architect Requirements: Create and refine Autonomous Vehicle (AV) Requirements using analytical and numerical methods, focusing on sensing capabilities, perception performance, sensor fusion, mapping, and pose estimation.\n- Own the Contract: Own the definition and requirements development of the Sensing, - - - Perception, and Localization contracts, covering sensor performance, calibration, data quality, and system degradation strategies.\n- Lead Cross-Functional Integration: Act as the primary technical liaison connecting AI and software engineers, hardware engineers, and safety teams to resolve complex system-level bottlenecks and build consensus on architectural trade-offs.\n- Validate via Data: Create methods and use physical and simulated data to inform and verify principled requirements for the entire sensor suite and localization pipeline.\n- Advance Simulation: Improve the simulation and synthetic data generation of sensor models for AVs.\n- Build the Safety Case: Directly contribute to the system safety case by mapping high-level safety goals to deployed architecture, ensuring traceability from requirements through to verification and validation (V&V).\n- Elevate the Team: Mentor junior and mid-level engineers, fostering a culture of rigorous systems engineering, proactive risk management, and flawless execution within the Platform team.\n\nQualifications:\n- Experience: 3+ years of industry experience in autonomous vehicles, robotics, or aerospace, with a proven track record of taking complex autonomous systems from R&D to deployment.\n- Domain Expertise: Strong foundation in AV systems, specifically in sensing (Lidar, Radar, Camera), perception algorithms, sensor fusion, mapping, and localization (e.g., GNSS/INS, SLAM, odometry).\n- Technical Breadth: Deep knowledge of sensor physics, signal processing, data acquisition/management, and dealing with correlated system errors.\n- Systems Rigor: Expert knowledge of Systems Engineering and Verification & Validation (V&V) best practices, including requirements decomposition from high-level safety goals into detailed, verifiable functional and technical specs for Level 4 AV systems.\n- Safety Standards: Working knowledge of functional safety standards (e.g., ISO 26262) and translating probabilistic safety goals into physical, quantifiable metrics.\n- Programming: Comprehensive coding skills in Python, C++, or other common programming languages used for data analysis and systems modeling.\n- Simulation & Modeling: Extensive experience in sensor simulation, error modeling, and perception/localization requirements development.\n- Communication: Exceptional communication and stakeholder management skills, with the ability to distill complex technical risks into actionable decisions for leadership.\nBonus:\n- AI/ML Integration: Experience working alongside generative AI architectures or integrating ML-based perception algorithms into deterministic, verifiable safety cases.\n- Advanced Safety: Familiarity with SOTIF (ISO 21448) and handling unknown-unsafe scenarios in autonomous driving.\n- End-to-End Systems: Applied and proven experience in building end-to-end perception or localization systems (e.g., object detection, tracking, scene understanding, HD map integration).\n- Calibration Operations: Experience with sensor calibration and synchronization methods specifically for commercial trucking or heavy machinery.\n- Testing at Scale: Applied and proven experience with defining and executing test cases for perception/localization system performance (e.g., edge cases, challenging weather, GPS-denied environments).\n- Domain Passion: A strong passion for robotics systems and an intuitive understanding of actual electro-mechanical problems in the context of self-driving or robotics.\n- Tooling: Coding in Rust and using build and test automation tools.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
You will...
- Drive Technical Execution: Lead the end-to-end systems engineering lifecycle for the Sensing, Perception, Maps, and Localization domains, ensuring timely delivery of robust solutions across hardware and software teams.
- Architect Requirements: Create and refine Autonomous Vehicle (AV) Requirements using analytical and numerical methods, focusing on sensing capabilities, perception performance, sensor fusion, mapping, and pose estimation.
- Own the Contract: Own the definition and requirements development of the Sensing, - - - Perception, and Localization contracts, covering sensor performance, calibration, data quality, and system degradation strategies.
- Lead Cross-Functional Integration: Act as the primary technical liaison connecting AI and software engineers, hardware engineers, and safety teams to resolve complex system-level bottlenecks and build consensus on architectural trade-offs.
- Validate via Data: Create methods and use physical and simulated data to inform and verify principled requirements for the entire sensor suite and localization pipeline.
- Advance Simulation: Improve the simulation and synthetic data generation of sensor models for AVs.
- Build the Safety Case: Directly contribute to the system safety case by mapping high-level safety goals to deployed architecture, ensuring traceability from requirements through to verification and validation (V&V).
- Elevate the Team: Mentor junior and mid-level engineers, fostering a culture of rigorous systems engineering, proactive risk management, and flawless execution within the Platform team.
\n
Qualifications:
- Experience: 3+ years of industry experience in autonomous vehicles, robotics, or aerospace, with a proven track record of taking complex autonomous systems from R&D to deployment.
- Domain Expertise: Strong foundation in AV systems, specifically in sensing (Lidar, Radar, Camera), perception algorithms, sensor fusion, mapping, and localization (e.g., GNSS/INS, SLAM, odometry).
- Technical Breadth: Deep knowledge of sensor physics, signal processing, data acquisition/management, and dealing with correlated system errors.
- Systems Rigor: Expert knowledge of Systems Engineering and Verification & Validation (V&V) best practices, including requirements decomposition from high-level safety goals into detailed, verifiable functional and technical specs for Level 4 AV systems.
- Safety Standards: Working knowledge of functional safety standards (e.g., ISO 26262) and translating probabilistic safety goals into physical, quantifiable metrics.
- Programming: Comprehensive coding skills in Python, C++, or other common programming languages used for data analysis and systems modeling.
- Simulation & Modeling: Extensive experience in sensor simulation, error modeling, and perception/localization requirements development.
- Communication: Exceptional communication and stakeholder management skills, with the ability to distill complex technical risks into actionable decisions for leadership.
\n
Bonus:
- AI/ML Integration: Experience working alongside generative AI architectures or integrating ML-based perception algorithms into deterministic, verifiable safety cases.
- Advanced Safety: Familiarity with SOTIF (ISO 21448) and handling unknown-unsafe scenarios in autonomous driving.
- End-to-End Systems: Applied and proven experience in building end-to-end perception or localization systems (e.g., object detection, tracking, scene understanding, HD map integration).
- Calibration Operations: Experience with sensor calibration and synchronization methods specifically for commercial trucking or heavy machinery.
- Testing at Scale: Applied and proven experience with defining and executing test cases for perception/localization system performance (e.g., edge cases, challenging weather, GPS-denied environments).
- Domain Passion: A strong passion for robotics systems and an intuitive understanding of actual electro-mechanical problems in the context of self-driving or robotics.
- Tooling: Coding in Rust and using build and test automation tools.
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
You will...
- Drive Technical Execution: Lead the end-to-end systems engineering lifecycle for the Sensing, Perception, Maps, and Localization domains, ensuring timely delivery of robust solutions across hardware and software teams.
- Architect Requirements: Create and refine Autonomous Vehicle (AV) Requirements using analytical and numerical methods, focusing on sensing capabilities, perception performance, sensor fusion, mapping, and pose estimation.
- Own the Contract: Own the definition and requirements development of the Sensing, - - - Perception, and Localization contracts, covering sensor performance, calibration, data quality, and system degradation strategies.
- Lead Cross-Functional Integration: Act as the primary technical liaison connecting AI and software engineers, hardware engineers, and safety teams to resolve complex system-level bottlenecks and build consensus on architectural trade-offs.
- Validate via Data: Create methods and use physical and simulated data to inform and verify principled requirements for the entire sensor suite and localization pipeline.
- Advance Simulation: Improve the simulation and synthetic data generation of sensor models for AVs.
- Build the Safety Case: Directly contribute to the system safety case by mapping high-level safety goals to deployed architecture, ensuring traceability from requirements through to verification and validation (V&V).
- Elevate the Team: Mentor junior and mid-level engineers, fostering a culture of rigorous systems engineering, proactive risk management, and flawless execution within the Platform team.
\n
Qualifications:
- Experience: 3+ years of industry experience in autonomous vehicles, robotics, or aerospace, with a proven track record of taking complex autonomous systems from R&D to deployment.
- Domain Expertise: Strong foundation in AV systems, specifically in sensing (Lidar, Radar, Camera), perception algorithms, sensor fusion, mapping, and localization (e.g., GNSS/INS, SLAM, odometry).
- Technical Breadth: Deep knowledge of sensor physics, signal processing, data acquisition/management, and dealing with correlated system errors.
- Systems Rigor: Expert knowledge of Systems Engineering and Verification & Validation (V&V) best practices, including requirements decomposition from high-level safety goals into detailed, verifiable functional and technical specs for Level 4 AV systems.
- Safety Standards: Working knowledge of functional safety standards (e.g., ISO 26262) and translating probabilistic safety goals into physical, quantifiable metrics.
- Programming: Comprehensive coding skills in Python, C++, or other common programming languages used for data analysis and systems modeling.
- Simulation & Modeling: Extensive experience in sensor simulation, error modeling, and perception/localization requirements development.
- Communication: Exceptional communication and stakeholder management skills, with the ability to distill complex technical risks into actionable decisions for leadership.
\n
Bonus:
- AI/ML Integration: Experience working alongside generative AI architectures or integrating ML-based perception algorithms into deterministic, verifiable safety cases.
- Advanced Safety: Familiarity with SOTIF (ISO 21448) and handling unknown-unsafe scenarios in autonomous driving.
- End-to-End Systems: Applied and proven experience in building end-to-end perception or localization systems (e.g., object detection, tracking, scene understanding, HD map integration).
- Calibration Operations: Experience with sensor calibration and synchronization methods specifically for commercial trucking or heavy machinery.
- Testing at Scale: Applied and proven experience with defining and executing test cases for perception/localization system performance (e.g., edge cases, challenging weather, GPS-denied environments).
- Domain Passion: A strong passion for robotics systems and an intuitive understanding of actual electro-mechanical problems in the context of self-driving or robotics.
- Tooling: Coding in Rust and using build and test automation tools.
\n
The US yearly salary range for this role is: $122,000 - $215,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Remote US & Canada","team":"Autonomy & Algorithms","allLocations":["Remote US & Canada","Dallas, TX","Phoenix, AZ","Pittsburgh, PA","San Francisco, CA","Toronto, ON"]},"createdAt":1718320797576,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nAs a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to understand and navigate the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. Senior engineers are welcome to apply.\n \nYou will...\nPrototype, evaluate, and iterate on solutions, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving algorithms.\nFormulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving technologies.\nSupport deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.\nChampion engineering excellence, ensuring high-quality, well structured and tested code.\nCollaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.\nStay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.\nWork with large datasets from various sources as well as Waabi World, our high-fidelity simulator.\nContribute to the publication of research findings in conferences as well as Waabi's blog.\n \nQualifications:\nBachelor's in computer science, engineering, machine learning, or a related technical discipline.\nExperience working on applied research projects.\nPassion for taking research ideas and turning them into practical solutions for real-world applications.\nSolid understanding of computing fundamentals, including code efficiency.\nProficient in Python programming with a focus on writing high-quality, well-structured, and tested code.\nComfortable working with large datasets for machine learning applications.\n \nBonus/nice to have:\nMaster/PhD in machine learning, computer science, engineering, or a related field.\nExperience in shipping machine learning features/models into production.\nStrong grasp of machine learning literature, including current trends and state-of-the-art techniques.\nPrevious experience in self-driving technology or related fields.\nPublications in top-tier conferences or journals related to artificial intelligence, machine learning, computer vision, or self-driving technology.\nExperience in working with platform teams and collaborating with research teams to implement and validate deep learning models.\nSolid experience with concurrent, parallel, and distributed computing techniques for efficient computation.\nProficiency in Pytorch, Rust, C++ and/or CUDA.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to understand and navigate the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. Senior engineers are welcome to apply.
\n
\nYou will...
\n\n- Prototype, evaluate, and iterate on solutions, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving algorithms.
\n- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving technologies.
\n- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.
\n- Champion engineering excellence, ensuring high-quality, well structured and tested code.
\n- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.
\n- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.
\n- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.
\n- Contribute to the publication of research findings in conferences as well as Waabi's blog.
\n
\n
\nQualifications:
\n\n- Bachelor's in computer science, engineering, machine learning, or a related technical discipline.
\n- Experience working on applied research projects.
\n- Passion for taking research ideas and turning them into practical solutions for real-world applications.
\n- Solid understanding of computing fundamentals, including code efficiency.
\n- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.
\n- Comfortable working with large datasets for machine learning applications.
\n
\n
\nBonus/nice to have:
\n\n- Master/PhD in machine learning, computer science, engineering, or a related field.
\n- Experience in shipping machine learning features/models into production.
\n- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.
\n- Previous experience in self-driving technology or related fields.
\n- Publications in top-tier conferences or journals related to artificial intelligence, machine learning, computer vision, or self-driving technology.
\n- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.
\n- Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.
\n- Proficiency in Pytorch, Rust, C++ and/or CUDA.
\n
","id":"b8498714-0bac-43bc-9483-f2e280547ebe","lists":[],"text":"Research Engineer","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to understand and navigate the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. Senior engineers are welcome to apply.
\n
\nYou will...
\n\n- Prototype, evaluate, and iterate on solutions, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving algorithms.
\n- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving technologies.
\n- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.
\n- Champion engineering excellence, ensuring high-quality, well structured and tested code.
\n- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.
\n- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.
\n- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.
\n- Contribute to the publication of research findings in conferences as well as Waabi's blog.
\n
\n
\nQualifications:
\n\n- Bachelor's in computer science, engineering, machine learning, or a related technical discipline.
\n- Experience working on applied research projects.
\n- Passion for taking research ideas and turning them into practical solutions for real-world applications.
\n- Solid understanding of computing fundamentals, including code efficiency.
\n- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.
\n- Comfortable working with large datasets for machine learning applications.
\n
\n
\nBonus/nice to have:
\n\n- Master/PhD in machine learning, computer science, engineering, or a related field.
\n- Experience in shipping machine learning features/models into production.
\n- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.
\n- Previous experience in self-driving technology or related fields.
\n- Publications in top-tier conferences or journals related to artificial intelligence, machine learning, computer vision, or self-driving technology.
\n- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.
\n- Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.
\n- Proficiency in Pytorch, Rust, C++ and/or CUDA.
\n
","descriptionBodyPlain":"As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to understand and navigate the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. Senior engineers are welcome to apply.\n \nYou will...\nPrototype, evaluate, and iterate on solutions, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving algorithms.\nFormulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving technologies.\nSupport deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.\nChampion engineering excellence, ensuring high-quality, well structured and tested code.\nCollaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.\nStay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.\nWork with large datasets from various sources as well as Waabi World, our high-fidelity simulator.\nContribute to the publication of research findings in conferences as well as Waabi's blog.\n \nQualifications:\nBachelor's in computer science, engineering, machine learning, or a related technical discipline.\nExperience working on applied research projects.\nPassion for taking research ideas and turning them into practical solutions for real-world applications.\nSolid understanding of computing fundamentals, including code efficiency.\nProficient in Python programming with a focus on writing high-quality, well-structured, and tested code.\nComfortable working with large datasets for machine learning applications.\n \nBonus/nice to have:\nMaster/PhD in machine learning, computer science, engineering, or a related field.\nExperience in shipping machine learning features/models into production.\nStrong grasp of machine learning literature, including current trends and state-of-the-art techniques.\nPrevious experience in self-driving technology or related fields.\nPublications in top-tier conferences or journals related to artificial intelligence, machine learning, computer vision, or self-driving technology.\nExperience in working with platform teams and collaborating with research teams to implement and validate deep learning models.\nSolid experience with concurrent, parallel, and distributed computing techniques for efficient computation.\nProficiency in Pytorch, Rust, C++ and/or CUDA.\n","country":null,"hostedUrl":"https://jobs.lever.co/waabi/b8498714-0bac-43bc-9483-f2e280547ebe","applyUrl":"https://jobs.lever.co/waabi/b8498714-0bac-43bc-9483-f2e280547ebe/apply"},{"additionalPlain":"- The US yearly salary range for this role is: $134,000 - $235,000 USD \n \n- The Canada salary range for this role is: $171,000 - $270,000 CAD \n \nIn addition to competitive perks & benefits, Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.\n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"- The US yearly salary range for this role is: $134,000 - $235,000 USD
\n
\n- The Canada salary range for this role is: $171,000 - $270,000 CAD
\n
\nIn addition to competitive perks & benefits, Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Toronto, ON","team":"Autonomy & Algorithms","allLocations":["Toronto, ON","San Francisco, CA","Remote US & Canada"]},"createdAt":1761769340271,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nAs a Research Engineer in Neural Rendering, you will create the next generation of multi-sensor rendering systems for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable rendering and content creation solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation.\n \nYou will…\nBe part of a team of multidisciplinary Research Scientists and Engineers working on building a best-in-class multi-sensor simulation stack.\nUse cutting edge techniques in reconstruction, neural rendering and generative AI to build large-scale, efficient digital twins from real-world camera, LiDAR, and RADAR data. You will work on shipping next-generation simulation software which mixes traditional real-time rendering with NeRF, 3D Gaussian Splatting, diffusion models, etc.\nCollaborate with Waabi’s autonomy and safety teams to improve the realism and diversity of Waabi World.\nHave the opportunity to make contributions to high-impact research papers submitted to top conferences or journals (CVPR, ECCV, ICCV, SIGGRAPH, NeurIPS, ICLR, ICRA, RA-L).\n \nQualifications:\nShipping Production Software. You have experience in reading and developing production quality software, versus only creating prototypes and proofs of concept. You are comfortable working with large datasets for ML applications.\nDeep understanding of ML or neural rendering. You are familiar with the internals of modern machine learning (diffusion models, vision foundational models) or neural rendering (NeRF, 3DGS) systems beyond just application. You understand the limitations of current methods and the different trade-offs between paradigms.\nCloud Machine Learning. Experience designing, launching, and debugging GPU machine learning jobs in the cloud (PyTorch, TensorFlow).\nStrong software engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well as in at least one native systems language such as C++ or Rust.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
As a Research Engineer in Neural Rendering, you will create the next generation of multi-sensor rendering systems for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable rendering and content creation solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation.
\n
\nYou will…
\n\n- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a best-in-class multi-sensor simulation stack.
\n- Use cutting edge techniques in reconstruction, neural rendering and generative AI to build large-scale, efficient digital twins from real-world camera, LiDAR, and RADAR data. You will work on shipping next-generation simulation software which mixes traditional real-time rendering with NeRF, 3D Gaussian Splatting, diffusion models, etc.
\n- Collaborate with Waabi’s autonomy and safety teams to improve the realism and diversity of Waabi World.
\n- Have the opportunity to make contributions to high-impact research papers submitted to top conferences or journals (CVPR, ECCV, ICCV, SIGGRAPH, NeurIPS, ICLR, ICRA, RA-L).
\n
\n
\nQualifications:
\n\n- Shipping Production Software. You have experience in reading and developing production quality software, versus only creating prototypes and proofs of concept. You are comfortable working with large datasets for ML applications.
\n- Deep understanding of ML or neural rendering. You are familiar with the internals of modern machine learning (diffusion models, vision foundational models) or neural rendering (NeRF, 3DGS) systems beyond just application. You understand the limitations of current methods and the different trade-offs between paradigms.
\n- Cloud Machine Learning. Experience designing, launching, and debugging GPU machine learning jobs in the cloud (PyTorch, TensorFlow).
\n- Strong software engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well as in at least one native systems language such as C++ or Rust.
\n
","id":"99147e5e-c589-452b-87c1-789cbc4f3de8","lists":[],"text":"Research Engineer, Neural Rendering","country":"CA","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"As a Research Engineer in Neural Rendering, you will create the next generation of multi-sensor rendering systems for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable rendering and content creation solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation.
\n
\nYou will…
\n\n- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a best-in-class multi-sensor simulation stack.
\n- Use cutting edge techniques in reconstruction, neural rendering and generative AI to build large-scale, efficient digital twins from real-world camera, LiDAR, and RADAR data. You will work on shipping next-generation simulation software which mixes traditional real-time rendering with NeRF, 3D Gaussian Splatting, diffusion models, etc.
\n- Collaborate with Waabi’s autonomy and safety teams to improve the realism and diversity of Waabi World.
\n- Have the opportunity to make contributions to high-impact research papers submitted to top conferences or journals (CVPR, ECCV, ICCV, SIGGRAPH, NeurIPS, ICLR, ICRA, RA-L).
\n
\n
\nQualifications:
\n\n- Shipping Production Software. You have experience in reading and developing production quality software, versus only creating prototypes and proofs of concept. You are comfortable working with large datasets for ML applications.
\n- Deep understanding of ML or neural rendering. You are familiar with the internals of modern machine learning (diffusion models, vision foundational models) or neural rendering (NeRF, 3DGS) systems beyond just application. You understand the limitations of current methods and the different trade-offs between paradigms.
\n- Cloud Machine Learning. Experience designing, launching, and debugging GPU machine learning jobs in the cloud (PyTorch, TensorFlow).
\n- Strong software engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well as in at least one native systems language such as C++ or Rust.
\n
","descriptionBodyPlain":"As a Research Engineer in Neural Rendering, you will create the next generation of multi-sensor rendering systems for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable rendering and content creation solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation.\n \nYou will…\nBe part of a team of multidisciplinary Research Scientists and Engineers working on building a best-in-class multi-sensor simulation stack.\nUse cutting edge techniques in reconstruction, neural rendering and generative AI to build large-scale, efficient digital twins from real-world camera, LiDAR, and RADAR data. You will work on shipping next-generation simulation software which mixes traditional real-time rendering with NeRF, 3D Gaussian Splatting, diffusion models, etc.\nCollaborate with Waabi’s autonomy and safety teams to improve the realism and diversity of Waabi World.\nHave the opportunity to make contributions to high-impact research papers submitted to top conferences or journals (CVPR, ECCV, ICCV, SIGGRAPH, NeurIPS, ICLR, ICRA, RA-L).\n \nQualifications:\nShipping Production Software. You have experience in reading and developing production quality software, versus only creating prototypes and proofs of concept. You are comfortable working with large datasets for ML applications.\nDeep understanding of ML or neural rendering. You are familiar with the internals of modern machine learning (diffusion models, vision foundational models) or neural rendering (NeRF, 3DGS) systems beyond just application. You understand the limitations of current methods and the different trade-offs between paradigms.\nCloud Machine Learning. Experience designing, launching, and debugging GPU machine learning jobs in the cloud (PyTorch, TensorFlow).\nStrong software engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well as in at least one native systems language such as C++ or Rust.\n","hostedUrl":"https://jobs.lever.co/waabi/99147e5e-c589-452b-87c1-789cbc4f3de8","applyUrl":"https://jobs.lever.co/waabi/99147e5e-c589-452b-87c1-789cbc4f3de8/apply"},{"additionalPlain":"The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"\n
\n
The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
\n
\n
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Toronto, ON","team":"Software Engineering","allLocations":["Toronto, ON","San Francisco, CA","Pittsburgh, PA","Remote US & Canada"]},"createdAt":1777087596003,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nAs a Research Engineer in Sensor Signal Processing, you will be a key contributor to the research and development of Waabi’s signal processing stack for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and other modalities) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation.\nYou will…\n- Be part of a multidisciplinary team of scientists and engineers working on a system that turns raw sensor data captured under diverse environments into useful signals for autonomous driving.\n- Design and implement novel signal processing techniques for sensor data acquisition, fusion, and filtering.\n- Optimize signal processing algorithms for deployment on parallel computing architectures (e.g., CPU, GPU, DSP, and specialized accelerators).\n- Collaborate with Waabi’s autonomy and hardware teams to ensure the robustness of the entire system.\n- Have the opportunity to make contributions to high-impact research papers submitted to top conferences or journals (e.g., TSP, TIP, ICRA, IROS, CVPR, NeurIPS, SIGGRAPH, HPG).\nQualifications:\n- Signal Processing Theory and Practice. You have a thorough understanding of the fundamentals of signal processing, both classical (filtering, estimation) and learning-based (image denoising and super-resolution, 2D and 3D segmentation). You know how to apply insights from the underlying mathematics (Toeplitz matrices, spectral bandwidth, M-estimators) to design robust numerical algorithms that operate on data from real-world sensors.\n- Real-time and Embedded Systems You have experience working with high-throughput data inputs in latency-sensitive algorithms, all under a limited compute and memory budget.\n- Rapid Prototyping and Shipping Production Software. You are comfortable rapidly building proofs of concept in a high level language like Python, Julia, or MATLAB. You are equally comfortable reading and developing production-quality software.\nBonus:\n- Industry experience in 1D (audio), 2D (image), 3D (point cloud), or 4D (radar) signal processing.\n- Experience with numerical algorithms and mathematical optimization: BLAS, CHOLMOD, Gauss-Newton, L-BFGS, linear programming.\n- Experience with real-time methods: causal and recursive filters, recurrent neural networks, transformers\n- Experience with systems programming: buffer management, asynchronous communication, hardware accelerators.\n- Solid knowledge in performance profiling and optimization.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
As a Research Engineer in Sensor Signal Processing, you will be a key contributor to the research and development of Waabi’s signal processing stack for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and other modalities) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation.
\n
You will…
\n
- Be part of a multidisciplinary team of scientists and engineers working on a system that turns raw sensor data captured under diverse environments into useful signals for autonomous driving.
\n
- Design and implement novel signal processing techniques for sensor data acquisition, fusion, and filtering.
\n
- Optimize signal processing algorithms for deployment on parallel computing architectures (e.g., CPU, GPU, DSP, and specialized accelerators).
\n
- Collaborate with Waabi’s autonomy and hardware teams to ensure the robustness of the entire system.
\n
- Have the opportunity to make contributions to high-impact research papers submitted to top conferences or journals (e.g., TSP, TIP, ICRA, IROS, CVPR, NeurIPS, SIGGRAPH, HPG).
\n
Qualifications:
\n
- Signal Processing Theory and Practice. You have a thorough understanding of the fundamentals of signal processing, both classical (filtering, estimation) and learning-based (image denoising and super-resolution, 2D and 3D segmentation). You know how to apply insights from the underlying mathematics (Toeplitz matrices, spectral bandwidth, M-estimators) to design robust numerical algorithms that operate on data from real-world sensors.
\n
- Real-time and Embedded Systems You have experience working with high-throughput data inputs in latency-sensitive algorithms, all under a limited compute and memory budget.
\n
- Rapid Prototyping and Shipping Production Software. You are comfortable rapidly building proofs of concept in a high level language like Python, Julia, or MATLAB. You are equally comfortable reading and developing production-quality software.
\n
Bonus:
\n
- Industry experience in 1D (audio), 2D (image), 3D (point cloud), or 4D (radar) signal processing.
\n
- Experience with numerical algorithms and mathematical optimization: BLAS, CHOLMOD, Gauss-Newton, L-BFGS, linear programming.
\n
- Experience with real-time methods: causal and recursive filters, recurrent neural networks, transformers
\n
- Experience with systems programming: buffer management, asynchronous communication, hardware accelerators.
\n
- Solid knowledge in performance profiling and optimization.
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
As a Research Engineer in Sensor Signal Processing, you will be a key contributor to the research and development of Waabi’s signal processing stack for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and other modalities) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation.
\n
You will…
\n
- Be part of a multidisciplinary team of scientists and engineers working on a system that turns raw sensor data captured under diverse environments into useful signals for autonomous driving.
\n
- Design and implement novel signal processing techniques for sensor data acquisition, fusion, and filtering.
\n
- Optimize signal processing algorithms for deployment on parallel computing architectures (e.g., CPU, GPU, DSP, and specialized accelerators).
\n
- Collaborate with Waabi’s autonomy and hardware teams to ensure the robustness of the entire system.
\n
- Have the opportunity to make contributions to high-impact research papers submitted to top conferences or journals (e.g., TSP, TIP, ICRA, IROS, CVPR, NeurIPS, SIGGRAPH, HPG).
\n
Qualifications:
\n
- Signal Processing Theory and Practice. You have a thorough understanding of the fundamentals of signal processing, both classical (filtering, estimation) and learning-based (image denoising and super-resolution, 2D and 3D segmentation). You know how to apply insights from the underlying mathematics (Toeplitz matrices, spectral bandwidth, M-estimators) to design robust numerical algorithms that operate on data from real-world sensors.
\n
- Real-time and Embedded Systems You have experience working with high-throughput data inputs in latency-sensitive algorithms, all under a limited compute and memory budget.
\n
- Rapid Prototyping and Shipping Production Software. You are comfortable rapidly building proofs of concept in a high level language like Python, Julia, or MATLAB. You are equally comfortable reading and developing production-quality software.
\n
Bonus:
\n
- Industry experience in 1D (audio), 2D (image), 3D (point cloud), or 4D (radar) signal processing.
\n
- Experience with numerical algorithms and mathematical optimization: BLAS, CHOLMOD, Gauss-Newton, L-BFGS, linear programming.
\n
- Experience with real-time methods: causal and recursive filters, recurrent neural networks, transformers
\n
- Experience with systems programming: buffer management, asynchronous communication, hardware accelerators.
\n
- Solid knowledge in performance profiling and optimization.
\n
\n
\n
The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
\n
\n
\n
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Toronto, ON","team":"Autonomy & Algorithms","allLocations":["Toronto, ON","San Francisco, CA","Pittsburgh, PA","Remote US & Canada"]},"createdAt":1775144213842,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWaabi’s autonomous-driving stack is powered by Waabi World, which delivers realistic, scalable, controllable, and efficient simulation. As a Research Engineer in the World Models team, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.\nThis role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.\nYou will…\nDesign, implement, and scale state-of-the-art generative and predictive world-modeling systems: \nVideo generation and prediction\nLatent diffusion / autoregressive / flow-matching models\nMultimodal foundation models for driving scenes\nLLM / VLM / VLA methods for scene understanding, reasoning, and control\nGenerative scenario modeling and controllable simulation\nModel distillation\nCollaborate closely with Research Scientists to translate cutting-edge model prototypes into robust, large-scale, distributed training and inference pipelines.\nOptimize model training and inference for efficiency, speed, and reliability on large-scale datasets.\nBuild large scale data pipelines to build high quality datasets for training\nEnsure the quality, stability, and maintainability of the world model codebase and infrastructure.\nStay on top of emerging advances in generative AI, distributed systems, and efficient model deployment in robotics.\n \nQualifications:\nStrong software engineering and implementation: You have very strong Python & PyTorch (or JAX) skills; strong software-engineering fundamentals, and extensive experience with distributed training and large-scale model deployment.\nDemonstrated technical impact: You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or equivalent industry experience in model development and scaling.\nExpert domain knowledge: You have built and deployed generative or predictive models of the physical world, focusing on scale, efficiency, and robustness for real-world applications.\nTeam player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects in a fast-paced environment. \n \nBonus:\nExperience with infrastructure and tooling for large-scale ML training (e.g., cloud platforms, Kubeflow, Ray).\nExperience with efficient model serving and deployment (e.g., ONNX, TensorRT).\nPublications or research at top ML/CV/Robotics conference (e.g., CVPR, ECCV, NeurIPS)\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
Waabi’s autonomous-driving stack is powered by Waabi World, which delivers realistic, scalable, controllable, and efficient simulation. As a Research Engineer in the World Models team, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.
\nThis role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.
\nYou will…
\n\n- Design, implement, and scale state-of-the-art generative and predictive world-modeling systems:\n
\n- Video generation and prediction
\n- Latent diffusion / autoregressive / flow-matching models
\n- Multimodal foundation models for driving scenes
\n- LLM / VLM / VLA methods for scene understanding, reasoning, and control
\n- Generative scenario modeling and controllable simulation
\n- Model distillation
\n
\n \n- Collaborate closely with Research Scientists to translate cutting-edge model prototypes into robust, large-scale, distributed training and inference pipelines.
\n- Optimize model training and inference for efficiency, speed, and reliability on large-scale datasets.
\n- Build large scale data pipelines to build high quality datasets for training
\n- Ensure the quality, stability, and maintainability of the world model codebase and infrastructure.
\n- Stay on top of emerging advances in generative AI, distributed systems, and efficient model deployment in robotics.
\n
\n
\nQualifications:
\n\n- Strong software engineering and implementation: You have very strong Python & PyTorch (or JAX) skills; strong software-engineering fundamentals, and extensive experience with distributed training and large-scale model deployment.
\n- Demonstrated technical impact: You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or equivalent industry experience in model development and scaling.
\n- Expert domain knowledge: You have built and deployed generative or predictive models of the physical world, focusing on scale, efficiency, and robustness for real-world applications.
\n- Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects in a fast-paced environment.
\n
\n
\nBonus:
\n\n- Experience with infrastructure and tooling for large-scale ML training (e.g., cloud platforms, Kubeflow, Ray).
\n- Experience with efficient model serving and deployment (e.g., ONNX, TensorRT).
\n- Publications or research at top ML/CV/Robotics conference (e.g., CVPR, ECCV, NeurIPS)
\n
","id":"ef8b9a24-a010-4ef6-814c-3503e268e9a3","lists":[],"text":"Research Engineer, World Models","country":"CA","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"Waabi’s autonomous-driving stack is powered by Waabi World, which delivers realistic, scalable, controllable, and efficient simulation. As a Research Engineer in the World Models team, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.
\nThis role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.
\nYou will…
\n\n- Design, implement, and scale state-of-the-art generative and predictive world-modeling systems:\n
\n- Video generation and prediction
\n- Latent diffusion / autoregressive / flow-matching models
\n- Multimodal foundation models for driving scenes
\n- LLM / VLM / VLA methods for scene understanding, reasoning, and control
\n- Generative scenario modeling and controllable simulation
\n- Model distillation
\n
\n \n- Collaborate closely with Research Scientists to translate cutting-edge model prototypes into robust, large-scale, distributed training and inference pipelines.
\n- Optimize model training and inference for efficiency, speed, and reliability on large-scale datasets.
\n- Build large scale data pipelines to build high quality datasets for training
\n- Ensure the quality, stability, and maintainability of the world model codebase and infrastructure.
\n- Stay on top of emerging advances in generative AI, distributed systems, and efficient model deployment in robotics.
\n
\n
\nQualifications:
\n\n- Strong software engineering and implementation: You have very strong Python & PyTorch (or JAX) skills; strong software-engineering fundamentals, and extensive experience with distributed training and large-scale model deployment.
\n- Demonstrated technical impact: You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or equivalent industry experience in model development and scaling.
\n- Expert domain knowledge: You have built and deployed generative or predictive models of the physical world, focusing on scale, efficiency, and robustness for real-world applications.
\n- Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects in a fast-paced environment.
\n
\n
\nBonus:
\n\n- Experience with infrastructure and tooling for large-scale ML training (e.g., cloud platforms, Kubeflow, Ray).
\n- Experience with efficient model serving and deployment (e.g., ONNX, TensorRT).
\n- Publications or research at top ML/CV/Robotics conference (e.g., CVPR, ECCV, NeurIPS)
\n
","descriptionBodyPlain":"Waabi’s autonomous-driving stack is powered by Waabi World, which delivers realistic, scalable, controllable, and efficient simulation. As a Research Engineer in the World Models team, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.\nThis role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.\nYou will…\nDesign, implement, and scale state-of-the-art generative and predictive world-modeling systems: \nVideo generation and prediction\nLatent diffusion / autoregressive / flow-matching models\nMultimodal foundation models for driving scenes\nLLM / VLM / VLA methods for scene understanding, reasoning, and control\nGenerative scenario modeling and controllable simulation\nModel distillation\nCollaborate closely with Research Scientists to translate cutting-edge model prototypes into robust, large-scale, distributed training and inference pipelines.\nOptimize model training and inference for efficiency, speed, and reliability on large-scale datasets.\nBuild large scale data pipelines to build high quality datasets for training\nEnsure the quality, stability, and maintainability of the world model codebase and infrastructure.\nStay on top of emerging advances in generative AI, distributed systems, and efficient model deployment in robotics.\n \nQualifications:\nStrong software engineering and implementation: You have very strong Python & PyTorch (or JAX) skills; strong software-engineering fundamentals, and extensive experience with distributed training and large-scale model deployment.\nDemonstrated technical impact: You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or equivalent industry experience in model development and scaling.\nExpert domain knowledge: You have built and deployed generative or predictive models of the physical world, focusing on scale, efficiency, and robustness for real-world applications.\nTeam player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects in a fast-paced environment. \n \nBonus:\nExperience with infrastructure and tooling for large-scale ML training (e.g., cloud platforms, Kubeflow, Ray).\nExperience with efficient model serving and deployment (e.g., ONNX, TensorRT).\nPublications or research at top ML/CV/Robotics conference (e.g., CVPR, ECCV, NeurIPS)\n","hostedUrl":"https://jobs.lever.co/waabi/ef8b9a24-a010-4ef6-814c-3503e268e9a3","applyUrl":"https://jobs.lever.co/waabi/ef8b9a24-a010-4ef6-814c-3503e268e9a3/apply"},{"additionalPlain":"The US hourly range for this role is: $40- $55 USD and the Canada hourly range for this role is: $45-$60 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. \n \n\n\nPerks/Benefits:\nWaabi provides a competitive benefits package that includes:\nDaily drinks, snacks and catered meals (when in office)\nRegularly scheduled team building activities and social events\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n \n","additional":"The US hourly range for this role is: $40- $55 USD and the Canada hourly range for this role is: $45-$60 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations.
\n
Perks/Benefits:
\nWaabi provides a competitive benefits package that includes:
\n\n- Daily drinks, snacks and catered meals (when in office)
\n- Regularly scheduled team building activities and social events
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
\n
","categories":{"commitment":"Intern","department":"Internships / Co-ops","location":"Toronto, ON","team":"Research","allLocations":["Toronto, ON","San Francisco, CA","Remote US"]},"createdAt":1766095735237,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\n \nYou will...\nBe part of a team of multidisciplinary Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale.\nLead or Contribute to an AI research project, pushing the frontiers of the field by developing new algorithms for Autonomous Vehicle (AV). This includes topics such as perception, prediction, motion planning, controls, simulation, mapping, localization, core AI, etc.\nDesign, implement, train, and optimize novel algorithms on self-driving vehicles and various production systems. \nBe encouraged to submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company blog, and release open source projects.\n \nQualifications:\nBachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study.\nDemonstrated research/software engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers.\nStrong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.\nProficient in reading and coding in Python and/or C++..\nOpen-minded and collaborative team player with willingness to help others.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nApplication Instructions:\nTo be considered for an internship/co-op, please add your most up to date academic transcripts alongside with your resume for further review.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\nYou will...
\n\n- Be part of a team of multidisciplinary Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale.
\n- Lead or Contribute to an AI research project, pushing the frontiers of the field by developing new algorithms for Autonomous Vehicle (AV). This includes topics such as perception, prediction, motion planning, controls, simulation, mapping, localization, core AI, etc.
\n- Design, implement, train, and optimize novel algorithms on self-driving vehicles and various production systems.
\n- Be encouraged to submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company blog, and release open source projects.
\n
\n
\nQualifications:
\n\n- Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study.
\n- Demonstrated research/software engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers.
\n- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
\n- Proficient in reading and coding in Python and/or C++..
\n- Open-minded and collaborative team player with willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
\nApplication Instructions:
\n\n- To be considered for an internship/co-op, please add your most up to date academic transcripts alongside with your resume for further review.
\n
","id":"0fd4e30b-9bd1-4b53-9043-6088457363cb","lists":[],"text":"Research Internship/Co-op","country":"CA","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"
\nYou will...
\n\n- Be part of a team of multidisciplinary Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale.
\n- Lead or Contribute to an AI research project, pushing the frontiers of the field by developing new algorithms for Autonomous Vehicle (AV). This includes topics such as perception, prediction, motion planning, controls, simulation, mapping, localization, core AI, etc.
\n- Design, implement, train, and optimize novel algorithms on self-driving vehicles and various production systems.
\n- Be encouraged to submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company blog, and release open source projects.
\n
\n
\nQualifications:
\n\n- Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study.
\n- Demonstrated research/software engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers.
\n- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
\n- Proficient in reading and coding in Python and/or C++..
\n- Open-minded and collaborative team player with willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
\nApplication Instructions:
\n\n- To be considered for an internship/co-op, please add your most up to date academic transcripts alongside with your resume for further review.
\n
","descriptionBodyPlain":" \nYou will...\nBe part of a team of multidisciplinary Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale.\nLead or Contribute to an AI research project, pushing the frontiers of the field by developing new algorithms for Autonomous Vehicle (AV). This includes topics such as perception, prediction, motion planning, controls, simulation, mapping, localization, core AI, etc.\nDesign, implement, train, and optimize novel algorithms on self-driving vehicles and various production systems. \nBe encouraged to submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company blog, and release open source projects.\n \nQualifications:\nBachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study.\nDemonstrated research/software engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers.\nStrong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.\nProficient in reading and coding in Python and/or C++..\nOpen-minded and collaborative team player with willingness to help others.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nApplication Instructions:\nTo be considered for an internship/co-op, please add your most up to date academic transcripts alongside with your resume for further review.\n","hostedUrl":"https://jobs.lever.co/waabi/0fd4e30b-9bd1-4b53-9043-6088457363cb","applyUrl":"https://jobs.lever.co/waabi/0fd4e30b-9bd1-4b53-9043-6088457363cb/apply"},{"additionalPlain":"The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Toronto, ON","team":"Autonomy & Algorithms","allLocations":["Toronto, ON","San Francisco, CA","Remote US & Canada"]},"createdAt":1620922113751,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nJoin us to build the next frontier of applying generative AI in the physical world! As a research scientist, you will invent new AI technologies that enable our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. Both senior and junior scientists are welcome to apply.\n \nYou will...\nLead and contribute to AI research projects, pushing the frontiers of the field by developing new algorithms for our autonomy system and state-of-the-art simulator.\nWork on a diverse set of problems related to self-driving, such as perception, motion forecasting, controls, sensor simulation, scenario generation, behavior modeling, mapping, localization, intelligent data mining & analysis, and safe deployment.\nDevelop innovative solutions to problems by leveraging the latest advances in AI, including transformers, foundational models, LLMs/VLMs, generative modeling, imitation/reinforcement learning, inverse rendering, etc.\nSupport deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.\nStay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.\nChampion engineering excellence, ensuring high-quality, well structured and tested code.\nSubmit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.\n \nQualifications:\nMasters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.\nDemonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.\nStrong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.\nProficient in reading and coding in Python.\nOpen-minded and collaborative team player with willingness to help others.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus Points:\nPrevious experience in self-driving technology.\nExperience in shipping machine learning features/models into production.\nProven track record of mentoring junior researchers or engineers.\nProficiency in Pytorch, Rust, C++ and/or CUDA.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
Join us to build the next frontier of applying generative AI in the physical world! As a research scientist, you will invent new AI technologies that enable our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. Both senior and junior scientists are welcome to apply.
\n
\nYou will...
\n\n- Lead and contribute to AI research projects, pushing the frontiers of the field by developing new algorithms for our autonomy system and state-of-the-art simulator.
\n- Work on a diverse set of problems related to self-driving, such as perception, motion forecasting, controls, sensor simulation, scenario generation, behavior modeling, mapping, localization, intelligent data mining & analysis, and safe deployment.
\n- Develop innovative solutions to problems by leveraging the latest advances in AI, including transformers, foundational models, LLMs/VLMs, generative modeling, imitation/reinforcement learning, inverse rendering, etc.
\n- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.
\n- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.
\n- Champion engineering excellence, ensuring high-quality, well structured and tested code.
\n- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.
\n
\n
\nQualifications:
\n\n- Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.
\n- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.
\n- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
\n- Proficient in reading and coding in Python.
\n- Open-minded and collaborative team player with willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
\nBonus Points:
\n\n- Previous experience in self-driving technology.
\n- Experience in shipping machine learning features/models into production.
\n- Proven track record of mentoring junior researchers or engineers.
\n- Proficiency in Pytorch, Rust, C++ and/or CUDA.
\n
","id":"17dda427-f822-4e89-bff7-2b9541fb3a9d","lists":[],"text":"Research Scientist","country":"CA","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"Join us to build the next frontier of applying generative AI in the physical world! As a research scientist, you will invent new AI technologies that enable our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. Both senior and junior scientists are welcome to apply.
\n
\nYou will...
\n\n- Lead and contribute to AI research projects, pushing the frontiers of the field by developing new algorithms for our autonomy system and state-of-the-art simulator.
\n- Work on a diverse set of problems related to self-driving, such as perception, motion forecasting, controls, sensor simulation, scenario generation, behavior modeling, mapping, localization, intelligent data mining & analysis, and safe deployment.
\n- Develop innovative solutions to problems by leveraging the latest advances in AI, including transformers, foundational models, LLMs/VLMs, generative modeling, imitation/reinforcement learning, inverse rendering, etc.
\n- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.
\n- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.
\n- Champion engineering excellence, ensuring high-quality, well structured and tested code.
\n- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.
\n
\n
\nQualifications:
\n\n- Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.
\n- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.
\n- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
\n- Proficient in reading and coding in Python.
\n- Open-minded and collaborative team player with willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
\nBonus Points:
\n\n- Previous experience in self-driving technology.
\n- Experience in shipping machine learning features/models into production.
\n- Proven track record of mentoring junior researchers or engineers.
\n- Proficiency in Pytorch, Rust, C++ and/or CUDA.
\n
","descriptionBodyPlain":"Join us to build the next frontier of applying generative AI in the physical world! As a research scientist, you will invent new AI technologies that enable our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. Both senior and junior scientists are welcome to apply.\n \nYou will...\nLead and contribute to AI research projects, pushing the frontiers of the field by developing new algorithms for our autonomy system and state-of-the-art simulator.\nWork on a diverse set of problems related to self-driving, such as perception, motion forecasting, controls, sensor simulation, scenario generation, behavior modeling, mapping, localization, intelligent data mining & analysis, and safe deployment.\nDevelop innovative solutions to problems by leveraging the latest advances in AI, including transformers, foundational models, LLMs/VLMs, generative modeling, imitation/reinforcement learning, inverse rendering, etc.\nSupport deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.\nStay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.\nChampion engineering excellence, ensuring high-quality, well structured and tested code.\nSubmit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.\n \nQualifications:\nMasters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.\nDemonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.\nStrong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.\nProficient in reading and coding in Python.\nOpen-minded and collaborative team player with willingness to help others.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus Points:\nPrevious experience in self-driving technology.\nExperience in shipping machine learning features/models into production.\nProven track record of mentoring junior researchers or engineers.\nProficiency in Pytorch, Rust, C++ and/or CUDA.\n","hostedUrl":"https://jobs.lever.co/waabi/17dda427-f822-4e89-bff7-2b9541fb3a9d","applyUrl":"https://jobs.lever.co/waabi/17dda427-f822-4e89-bff7-2b9541fb3a9d/apply"},{"additionalPlain":"The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Remote US & Canada","team":"Autonomy & Algorithms","allLocations":["Remote US & Canada","Dallas, TX","Phoenix, AZ","Pittsburgh, PA","San Francisco, CA","Toronto, ON"]},"createdAt":1741062377557,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nThe Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. \n \nYou will...\nDesign and execute on a research agenda for deep-learning based motion planning for self-driving.\nLeverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.\nSupport deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.\nStay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.\nChampion engineering excellence, ensuring high-quality, well structured and tested code.\nSubmit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.\n \nQualifications:\nMS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.\nExperience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).\nDemonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.\nStrong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.\nProficient in reading and coding in Python.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus/nice to have:\nPrevious experience in self-driving technology. \nExperience deploying ML/DL models to a production motion planning or related robotics stack.\nProficiency in Pytorch, Rust, C++ and/or CUDA.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World.
\n
\nYou will...
\n\n- Design and execute on a research agenda for deep-learning based motion planning for self-driving.
\n- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.
\n- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.
\n- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.
\n- Champion engineering excellence, ensuring high-quality, well structured and tested code.
\n- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.
\n
\n
\nQualifications:
\n\n- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.
\n- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).
\n- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.
\n- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
\n- Proficient in reading and coding in Python.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
\nBonus/nice to have:
\n\n- Previous experience in self-driving technology.
\n- Experience deploying ML/DL models to a production motion planning or related robotics stack.
\n- Proficiency in Pytorch, Rust, C++ and/or CUDA.
\n
","id":"a73a62bd-3ae9-417e-84c6-8a4c94846222","lists":[],"text":"Research Scientist, Learnable Planner","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World.
\n
\nYou will...
\n\n- Design and execute on a research agenda for deep-learning based motion planning for self-driving.
\n- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.
\n- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.
\n- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.
\n- Champion engineering excellence, ensuring high-quality, well structured and tested code.
\n- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.
\n
\n
\nQualifications:
\n\n- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.
\n- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).
\n- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.
\n- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
\n- Proficient in reading and coding in Python.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
\nBonus/nice to have:
\n\n- Previous experience in self-driving technology.
\n- Experience deploying ML/DL models to a production motion planning or related robotics stack.
\n- Proficiency in Pytorch, Rust, C++ and/or CUDA.
\n
","descriptionBodyPlain":"The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. \n \nYou will...\nDesign and execute on a research agenda for deep-learning based motion planning for self-driving.\nLeverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.\nSupport deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.\nStay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.\nChampion engineering excellence, ensuring high-quality, well structured and tested code.\nSubmit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.\n \nQualifications:\nMS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.\nExperience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).\nDemonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.\nStrong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.\nProficient in reading and coding in Python.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus/nice to have:\nPrevious experience in self-driving technology. \nExperience deploying ML/DL models to a production motion planning or related robotics stack.\nProficiency in Pytorch, Rust, C++ and/or CUDA.\n","country":null,"hostedUrl":"https://jobs.lever.co/waabi/a73a62bd-3ae9-417e-84c6-8a4c94846222","applyUrl":"https://jobs.lever.co/waabi/a73a62bd-3ae9-417e-84c6-8a4c94846222/apply"},{"additionalPlain":"The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n \n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"\n
The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
\n
\n
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Toronto, ON","team":"Autonomy & Algorithms","allLocations":["Toronto, ON","San Francisco, CA","Pittsburgh, PA","Remote US"]},"createdAt":1774626750279,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWaabi World depends on accurate, scalable, and efficient reconstruction of the 3D/4D physical world from real-world sensor data. As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural scene-representation and reconstruction algorithms that transform sparse, noisy, and partially observed driving data into realistic and controllable digital worlds.\nThis role focuses on 3D/4D neural reconstruction and rendering, including 3DGS/NeRF, neural scene representation, and generalizable reconstruction models. Your work will directly power Waabi World’s ability to build high-fidelity scene assets, recover geometry and dynamics from sensor data, and support realistic simulation and rendering at scale.\nYou will…\nConduct fundamental and applied research in neural reconstruction, including: \n3DGS / NeRF\nDynamic scene reconstruction\nFeed-forward reconstruction\nMulti-sensor scene representation learning \nBuild scalable reconstruction and simulation systems for dynamic urban scenes, including vehicles, background, lighting, and long-range structure.\nCollaborate with simulation engineers to integrate models into large-scale, distributed training and rendering pipelines.\nPublish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).\nMentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.\nStay current with emerging advances in neural rendering, 3D representation learning, differentiable rendering, and scalable reconstruction systems.\n \nQualifications:\nDemonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field..\nStrong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.\nExpert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind for real-world applications\nTeam player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects. \n \nBonus:\nProven ability to translate research into production-quality code and measurable product impact.\nDemonstrated first-author publications in top-tier venues on topics such as: \n3DGS / NeRF / neural rendering\n3D / 4D reconstruction\nGeneralizable reconstruction\nGeometry-aware or multi-sensor representation learning\nExperience working with camera, LiDAR, maps, and large-scale driving datasets.\nStrong background in graphics, geometry, rendering systems, or simulation.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
Waabi World depends on accurate, scalable, and efficient reconstruction of the 3D/4D physical world from real-world sensor data. As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural scene-representation and reconstruction algorithms that transform sparse, noisy, and partially observed driving data into realistic and controllable digital worlds.
\nThis role focuses on 3D/4D neural reconstruction and rendering, including 3DGS/NeRF, neural scene representation, and generalizable reconstruction models. Your work will directly power Waabi World’s ability to build high-fidelity scene assets, recover geometry and dynamics from sensor data, and support realistic simulation and rendering at scale.
\nYou will…
\n\n- Conduct fundamental and applied research in neural reconstruction, including:\n
\n- 3DGS / NeRF
\n- Dynamic scene reconstruction
\n- Feed-forward reconstruction
\n- Multi-sensor scene representation learning
\n
\n \n- Build scalable reconstruction and simulation systems for dynamic urban scenes, including vehicles, background, lighting, and long-range structure.
\n- Collaborate with simulation engineers to integrate models into large-scale, distributed training and rendering pipelines.
\n- Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).
\n- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.
\n- Stay current with emerging advances in neural rendering, 3D representation learning, differentiable rendering, and scalable reconstruction systems.
\n
\n
\nQualifications:
\n\n- Demonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field..
\n- Strong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.
\n- Expert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind for real-world applications
\n- Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects.
\n
\n
\nBonus:
\n\n- Proven ability to translate research into production-quality code and measurable product impact.
\n- Demonstrated first-author publications in top-tier venues on topics such as:\n
\n- 3DGS / NeRF / neural rendering
\n- 3D / 4D reconstruction
\n- Generalizable reconstruction
\n- Geometry-aware or multi-sensor representation learning
\n
\n \n- Experience working with camera, LiDAR, maps, and large-scale driving datasets.
\n- Strong background in graphics, geometry, rendering systems, or simulation.
\n
","id":"bf359782-cfba-4204-86f8-db1921a178f9","lists":[],"text":"Research Scientist, Neural Reconstruction","country":"CA","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"Waabi World depends on accurate, scalable, and efficient reconstruction of the 3D/4D physical world from real-world sensor data. As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural scene-representation and reconstruction algorithms that transform sparse, noisy, and partially observed driving data into realistic and controllable digital worlds.
\nThis role focuses on 3D/4D neural reconstruction and rendering, including 3DGS/NeRF, neural scene representation, and generalizable reconstruction models. Your work will directly power Waabi World’s ability to build high-fidelity scene assets, recover geometry and dynamics from sensor data, and support realistic simulation and rendering at scale.
\nYou will…
\n\n- Conduct fundamental and applied research in neural reconstruction, including:\n
\n- 3DGS / NeRF
\n- Dynamic scene reconstruction
\n- Feed-forward reconstruction
\n- Multi-sensor scene representation learning
\n
\n \n- Build scalable reconstruction and simulation systems for dynamic urban scenes, including vehicles, background, lighting, and long-range structure.
\n- Collaborate with simulation engineers to integrate models into large-scale, distributed training and rendering pipelines.
\n- Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).
\n- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.
\n- Stay current with emerging advances in neural rendering, 3D representation learning, differentiable rendering, and scalable reconstruction systems.
\n
\n
\nQualifications:
\n\n- Demonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field..
\n- Strong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.
\n- Expert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind for real-world applications
\n- Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects.
\n
\n
\nBonus:
\n\n- Proven ability to translate research into production-quality code and measurable product impact.
\n- Demonstrated first-author publications in top-tier venues on topics such as:\n
\n- 3DGS / NeRF / neural rendering
\n- 3D / 4D reconstruction
\n- Generalizable reconstruction
\n- Geometry-aware or multi-sensor representation learning
\n
\n \n- Experience working with camera, LiDAR, maps, and large-scale driving datasets.
\n- Strong background in graphics, geometry, rendering systems, or simulation.
\n
","descriptionBodyPlain":"Waabi World depends on accurate, scalable, and efficient reconstruction of the 3D/4D physical world from real-world sensor data. As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural scene-representation and reconstruction algorithms that transform sparse, noisy, and partially observed driving data into realistic and controllable digital worlds.\nThis role focuses on 3D/4D neural reconstruction and rendering, including 3DGS/NeRF, neural scene representation, and generalizable reconstruction models. Your work will directly power Waabi World’s ability to build high-fidelity scene assets, recover geometry and dynamics from sensor data, and support realistic simulation and rendering at scale.\nYou will…\nConduct fundamental and applied research in neural reconstruction, including: \n3DGS / NeRF\nDynamic scene reconstruction\nFeed-forward reconstruction\nMulti-sensor scene representation learning \nBuild scalable reconstruction and simulation systems for dynamic urban scenes, including vehicles, background, lighting, and long-range structure.\nCollaborate with simulation engineers to integrate models into large-scale, distributed training and rendering pipelines.\nPublish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).\nMentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.\nStay current with emerging advances in neural rendering, 3D representation learning, differentiable rendering, and scalable reconstruction systems.\n \nQualifications:\nDemonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field..\nStrong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.\nExpert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind for real-world applications\nTeam player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects. \n \nBonus:\nProven ability to translate research into production-quality code and measurable product impact.\nDemonstrated first-author publications in top-tier venues on topics such as: \n3DGS / NeRF / neural rendering\n3D / 4D reconstruction\nGeneralizable reconstruction\nGeometry-aware or multi-sensor representation learning\nExperience working with camera, LiDAR, maps, and large-scale driving datasets.\nStrong background in graphics, geometry, rendering systems, or simulation.\n","hostedUrl":"https://jobs.lever.co/waabi/bf359782-cfba-4204-86f8-db1921a178f9","applyUrl":"https://jobs.lever.co/waabi/bf359782-cfba-4204-86f8-db1921a178f9/apply"},{"additionalPlain":"The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Remote US & Canada","team":"Autonomy & Algorithms","allLocations":["Remote US & Canada","Dallas, TX","Phoenix, AZ","Pittsburgh, PA","San Francisco, CA","Toronto, ON"]},"createdAt":1774469443008,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nThe Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary team of research scientists and engineers to invent the next generation of models and algorithms that power Waabi World. Your work will define the scenarios that push our self-driving system to its limits, generate the training signal that makes them better, and form a core pillar of our scientific safety case to put them on the road.\n \nYou will...\nOwn and pursue a research agenda to develop realistic and controllable simulation agents.\nAdvance the state-of-the-art in imitation learning, reinforcement learning, generative models, foundation models, planning and search, and other related areas for simulation agents.\nCollaborate with our simulation, autonomy, and safety teams to define high-impact research problems, ship solutions into production, and drive progress towards Waabi’s milestones.\nMentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.\nPublish high-impact research at top-tier conferences in machine learning or robotics.\n \nQualifications:\nMasters/PhD in machine learning, computer science, engineering, or a related field.\nStrong background in imitation learning and/or reinforcement learning.\nPublications in top-tier conferences or journals related to machine learning or robotics.\nProficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax.\n \nBonus:\nExperience in self-driving, traffic simulation, or a related field.\nProven ability to take research from prototype to production systems.\nStrong software engineering skills, including experience with large-scale training or simulation.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary team of research scientists and engineers to invent the next generation of models and algorithms that power Waabi World. Your work will define the scenarios that push our self-driving system to its limits, generate the training signal that makes them better, and form a core pillar of our scientific safety case to put them on the road.
\n
\nYou will...
\n\n- Own and pursue a research agenda to develop realistic and controllable simulation agents.
\n- Advance the state-of-the-art in imitation learning, reinforcement learning, generative models, foundation models, planning and search, and other related areas for simulation agents.
\n- Collaborate with our simulation, autonomy, and safety teams to define high-impact research problems, ship solutions into production, and drive progress towards Waabi’s milestones.
\n- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.
\n- Publish high-impact research at top-tier conferences in machine learning or robotics.
\n
\n
\nQualifications:
\n\n- Masters/PhD in machine learning, computer science, engineering, or a related field.
\n- Strong background in imitation learning and/or reinforcement learning.
\n- Publications in top-tier conferences or journals related to machine learning or robotics.
\n- Proficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax.
\n
\n
\nBonus:
\n\n- Experience in self-driving, traffic simulation, or a related field.
\n- Proven ability to take research from prototype to production systems.
\n- Strong software engineering skills, including experience with large-scale training or simulation.
\n
","id":"48a13158-5489-4fac-8643-2d4e2fdc410e","lists":[],"text":"Research Scientist, Simulation Agents","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary team of research scientists and engineers to invent the next generation of models and algorithms that power Waabi World. Your work will define the scenarios that push our self-driving system to its limits, generate the training signal that makes them better, and form a core pillar of our scientific safety case to put them on the road.
\n
\nYou will...
\n\n- Own and pursue a research agenda to develop realistic and controllable simulation agents.
\n- Advance the state-of-the-art in imitation learning, reinforcement learning, generative models, foundation models, planning and search, and other related areas for simulation agents.
\n- Collaborate with our simulation, autonomy, and safety teams to define high-impact research problems, ship solutions into production, and drive progress towards Waabi’s milestones.
\n- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.
\n- Publish high-impact research at top-tier conferences in machine learning or robotics.
\n
\n
\nQualifications:
\n\n- Masters/PhD in machine learning, computer science, engineering, or a related field.
\n- Strong background in imitation learning and/or reinforcement learning.
\n- Publications in top-tier conferences or journals related to machine learning or robotics.
\n- Proficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax.
\n
\n
\nBonus:
\n\n- Experience in self-driving, traffic simulation, or a related field.
\n- Proven ability to take research from prototype to production systems.
\n- Strong software engineering skills, including experience with large-scale training or simulation.
\n
","descriptionBodyPlain":"The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary team of research scientists and engineers to invent the next generation of models and algorithms that power Waabi World. Your work will define the scenarios that push our self-driving system to its limits, generate the training signal that makes them better, and form a core pillar of our scientific safety case to put them on the road.\n \nYou will...\nOwn and pursue a research agenda to develop realistic and controllable simulation agents.\nAdvance the state-of-the-art in imitation learning, reinforcement learning, generative models, foundation models, planning and search, and other related areas for simulation agents.\nCollaborate with our simulation, autonomy, and safety teams to define high-impact research problems, ship solutions into production, and drive progress towards Waabi’s milestones.\nMentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.\nPublish high-impact research at top-tier conferences in machine learning or robotics.\n \nQualifications:\nMasters/PhD in machine learning, computer science, engineering, or a related field.\nStrong background in imitation learning and/or reinforcement learning.\nPublications in top-tier conferences or journals related to machine learning or robotics.\nProficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax.\n \nBonus:\nExperience in self-driving, traffic simulation, or a related field.\nProven ability to take research from prototype to production systems.\nStrong software engineering skills, including experience with large-scale training or simulation.\n","country":null,"hostedUrl":"https://jobs.lever.co/waabi/48a13158-5489-4fac-8643-2d4e2fdc410e","applyUrl":"https://jobs.lever.co/waabi/48a13158-5489-4fac-8643-2d4e2fdc410e/apply"},{"additionalPlain":"The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"\n
The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
\n
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Toronto, ON","team":"Autonomy & Algorithms","allLocations":["Toronto, ON","San Francisco, CA","Pittsburgh, PA","Remote US"]},"createdAt":1774628580513,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWaabi’s autonomous-driving stack is powered by Waabi World, which aims to deliver realistic, scalable, controllable, and efficient simulation. As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.\n \nYou will…\nConduct fundamental and applied research in generative and predictive world-modelingVideo generation and prediction.Latent diffusion / autoregressive / flow-matching models.Multimodal foundation models for driving scenes.LLM / VLM / VLA methods for scene understanding, reasoning, and control.Generative scenario modeling and controllable simulation.Model distillation.\nCollaborate with engineers to integrate models into large-scale, distributed training and rendering pipelines.\nPublish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).\nMentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.\nStay on top of emerging advances in generative AI, differentiable rendering, knowledge distillation/compression, and robotics.\n\nQualifications:\nDemonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field..\nStrong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.\nExpert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind for real-world applications\nTeam player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects. \n \nBonus:\nProven ability to translate research into production-quality code and measurable product impact.\nDemonstrated publications (first-author) in top-tier venues on topics such as world models, generative simulation, video prediction, diffusion, flow-matching, or foundation models for autonomy.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
Waabi’s autonomous-driving stack is powered by Waabi World, which aims to deliver realistic, scalable, controllable, and efficient simulation. As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.
This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.
\n
\n\n
You will…
\n
\n- Conduct fundamental and applied research in generative and predictive world-modeling\n
\n- Video generation and prediction.
\n- Latent diffusion / autoregressive / flow-matching models.
\n- Multimodal foundation models for driving scenes.
\n- LLM / VLM / VLA methods for scene understanding, reasoning, and control.
\n- Generative scenario modeling and controllable simulation.
\n- Model distillation.
\n
\n \n
\n
\n- Collaborate with engineers to integrate models into large-scale, distributed training and rendering pipelines.
\n- Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).
\n- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.
\n- Stay on top of emerging advances in generative AI, differentiable rendering, knowledge distillation/compression, and robotics.
\n
\n
\n
Qualifications:
\n
\n- Demonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field..
\n- Strong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.
\n- Expert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind for real-world applications
\n- Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects.
\n
\n
\n
Bonus:
\n
\n- Proven ability to translate research into production-quality code and measurable product impact.
\n- Demonstrated publications (first-author) in top-tier venues on topics such as world models, generative simulation, video prediction, diffusion, flow-matching, or foundation models for autonomy.
\n
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"Waabi’s autonomous-driving stack is powered by Waabi World, which aims to deliver realistic, scalable, controllable, and efficient simulation. As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.
This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.
\n
\n\n
You will…
\n
\n- Conduct fundamental and applied research in generative and predictive world-modeling\n
\n- Video generation and prediction.
\n- Latent diffusion / autoregressive / flow-matching models.
\n- Multimodal foundation models for driving scenes.
\n- LLM / VLM / VLA methods for scene understanding, reasoning, and control.
\n- Generative scenario modeling and controllable simulation.
\n- Model distillation.
\n
\n \n
\n
\n- Collaborate with engineers to integrate models into large-scale, distributed training and rendering pipelines.
\n- Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).
\n- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.
\n- Stay on top of emerging advances in generative AI, differentiable rendering, knowledge distillation/compression, and robotics.
\n
\n
\n
Qualifications:
\n
\n- Demonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field..
\n- Strong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.
\n- Expert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind for real-world applications
\n- Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects.
\n
\n
\n
Bonus:
\n
\n- Proven ability to translate research into production-quality code and measurable product impact.
\n- Demonstrated publications (first-author) in top-tier venues on topics such as world models, generative simulation, video prediction, diffusion, flow-matching, or foundation models for autonomy.
\n
\n
The US yearly salary range for this role is: $146,000 - $280,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Toronto, ON","team":"Autonomy & Algorithms","allLocations":["Toronto, ON","San Francisco, CA","Pittsburgh, PA","Remote US & Canada"]},"createdAt":1778592351305,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nAt Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability.\n\nWe are looking for a highly experienced Applied Data Scientist to play a leading role in shaping the methodologies underlying our evaluation ecosystem. This is a senior technical role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will help co-design and build the rigorous frameworks that validate the Waabi Driver across Waabi World (Simulation), Track, and Public Road testing.\n \nYou will...\nDesign scalable production frameworks for autonomy evaluation. You will apply statistically rigorous methodologies to challenges such as sampling evaluation sets to ensure comprehensive Operational Design Domain (ODD) coverage.\nDesign and implement methodologies to systematically measure and monitor the performance, fidelity, and reliability of the evaluation infrastructure itself, ensuring our testing ecosystem remains a highly trusted source of truth.\nDirectly prototype complex deep-dive analyses, write production-quality evaluation code, and build the sophisticated tools and dashboards that synthesize our progress for technical and executive leadership.\nAct as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and requirements of our system.\nDevelop advanced analytical models to help correlate closed-loop simulation performance with real-world driving outcomes, quantifying the fidelity and predictive power of our evaluation metrics.\nServe as a subject matter expert and collaborative partner, elevating the analytical bar of the team through code reviews, methodological guidance, and helping to define best practices for end-to-end data science workflows.\n \nQualifications:\nMinimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects.\nMS/PhD or equivalent experience in a highly quantitative field such as Statistics, Mathematics, Computer Science, Physics, or Robotics.- Strong command of Python/SQL for data analysis and prototyping\nExpertise in statistical methods, including hypothesis testing, A/B testing on complex systems, sampling methodologies, and statistical modeling.\nExperience working with internal cross-functional partners/stakeholders \nOpen-minded and collaborative team player with willingness to help others- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\nBonus/nice to have:\nExperience in the Autonomous Vehicle or Robotics industry\nFamiliarity with Systems Verification and Validation\nExperience with large scale databases and analytics \nExperience with workflow automation/orchestration frameworks\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
At Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability.
\n
We are looking for a highly experienced Applied Data Scientist to play a leading role in shaping the methodologies underlying our evaluation ecosystem. This is a senior technical role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will help co-design and build the rigorous frameworks that validate the Waabi Driver across Waabi World (Simulation), Track, and Public Road testing.
\nYou will...
\n\n- Design scalable production frameworks for autonomy evaluation. You will apply statistically rigorous methodologies to challenges such as sampling evaluation sets to ensure comprehensive Operational Design Domain (ODD) coverage.
\n- Design and implement methodologies to systematically measure and monitor the performance, fidelity, and reliability of the evaluation infrastructure itself, ensuring our testing ecosystem remains a highly trusted source of truth.
\n- Directly prototype complex deep-dive analyses, write production-quality evaluation code, and build the sophisticated tools and dashboards that synthesize our progress for technical and executive leadership.
\n- Act as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and requirements of our system.
\n- Develop advanced analytical models to help correlate closed-loop simulation performance with real-world driving outcomes, quantifying the fidelity and predictive power of our evaluation metrics.
\n- Serve as a subject matter expert and collaborative partner, elevating the analytical bar of the team through code reviews, methodological guidance, and helping to define best practices for end-to-end data science workflows.
\n
\n
\nQualifications:
\n\n- Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects.
\n- MS/PhD or equivalent experience in a highly quantitative field such as Statistics, Mathematics, Computer Science, Physics, or Robotics.- Strong command of Python/SQL for data analysis and prototyping
\n- Expertise in statistical methods, including hypothesis testing, A/B testing on complex systems, sampling methodologies, and statistical modeling.
\n- Experience working with internal cross-functional partners/stakeholders
\n- Open-minded and collaborative team player with willingness to help others- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\nBonus/nice to have:
\n\n- Experience in the Autonomous Vehicle or Robotics industry
\n- Familiarity with Systems Verification and Validation
\n- Experience with large scale databases and analytics
\n- Experience with workflow automation/orchestration frameworks
\n
","id":"ef848b04-ad7b-4dcb-b368-370217f63f3b","lists":[],"text":"Senior / Staff Applied Scientist","country":"CA","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
At Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability.
\n
We are looking for a highly experienced Applied Data Scientist to play a leading role in shaping the methodologies underlying our evaluation ecosystem. This is a senior technical role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will help co-design and build the rigorous frameworks that validate the Waabi Driver across Waabi World (Simulation), Track, and Public Road testing.
\nYou will...
\n\n- Design scalable production frameworks for autonomy evaluation. You will apply statistically rigorous methodologies to challenges such as sampling evaluation sets to ensure comprehensive Operational Design Domain (ODD) coverage.
\n- Design and implement methodologies to systematically measure and monitor the performance, fidelity, and reliability of the evaluation infrastructure itself, ensuring our testing ecosystem remains a highly trusted source of truth.
\n- Directly prototype complex deep-dive analyses, write production-quality evaluation code, and build the sophisticated tools and dashboards that synthesize our progress for technical and executive leadership.
\n- Act as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and requirements of our system.
\n- Develop advanced analytical models to help correlate closed-loop simulation performance with real-world driving outcomes, quantifying the fidelity and predictive power of our evaluation metrics.
\n- Serve as a subject matter expert and collaborative partner, elevating the analytical bar of the team through code reviews, methodological guidance, and helping to define best practices for end-to-end data science workflows.
\n
\n
\nQualifications:
\n\n- Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects.
\n- MS/PhD or equivalent experience in a highly quantitative field such as Statistics, Mathematics, Computer Science, Physics, or Robotics.- Strong command of Python/SQL for data analysis and prototyping
\n- Expertise in statistical methods, including hypothesis testing, A/B testing on complex systems, sampling methodologies, and statistical modeling.
\n- Experience working with internal cross-functional partners/stakeholders
\n- Open-minded and collaborative team player with willingness to help others- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\nBonus/nice to have:
\n\n- Experience in the Autonomous Vehicle or Robotics industry
\n- Familiarity with Systems Verification and Validation
\n- Experience with large scale databases and analytics
\n- Experience with workflow automation/orchestration frameworks
\n
","descriptionBodyPlain":"At Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability.\n\nWe are looking for a highly experienced Applied Data Scientist to play a leading role in shaping the methodologies underlying our evaluation ecosystem. This is a senior technical role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will help co-design and build the rigorous frameworks that validate the Waabi Driver across Waabi World (Simulation), Track, and Public Road testing.\n \nYou will...\nDesign scalable production frameworks for autonomy evaluation. You will apply statistically rigorous methodologies to challenges such as sampling evaluation sets to ensure comprehensive Operational Design Domain (ODD) coverage.\nDesign and implement methodologies to systematically measure and monitor the performance, fidelity, and reliability of the evaluation infrastructure itself, ensuring our testing ecosystem remains a highly trusted source of truth.\nDirectly prototype complex deep-dive analyses, write production-quality evaluation code, and build the sophisticated tools and dashboards that synthesize our progress for technical and executive leadership.\nAct as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and requirements of our system.\nDevelop advanced analytical models to help correlate closed-loop simulation performance with real-world driving outcomes, quantifying the fidelity and predictive power of our evaluation metrics.\nServe as a subject matter expert and collaborative partner, elevating the analytical bar of the team through code reviews, methodological guidance, and helping to define best practices for end-to-end data science workflows.\n \nQualifications:\nMinimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects.\nMS/PhD or equivalent experience in a highly quantitative field such as Statistics, Mathematics, Computer Science, Physics, or Robotics.- Strong command of Python/SQL for data analysis and prototyping\nExpertise in statistical methods, including hypothesis testing, A/B testing on complex systems, sampling methodologies, and statistical modeling.\nExperience working with internal cross-functional partners/stakeholders \nOpen-minded and collaborative team player with willingness to help others- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\nBonus/nice to have:\nExperience in the Autonomous Vehicle or Robotics industry\nFamiliarity with Systems Verification and Validation\nExperience with large scale databases and analytics \nExperience with workflow automation/orchestration frameworks\n","hostedUrl":"https://jobs.lever.co/waabi/ef848b04-ad7b-4dcb-b368-370217f63f3b","applyUrl":"https://jobs.lever.co/waabi/ef848b04-ad7b-4dcb-b368-370217f63f3b/apply"},{"additionalPlain":"The US yearly salary range for this role is: $145,000 - $185,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n \n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"\n
\n
The US yearly salary range for this role is: $145,000 - $185,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
\n
\n
\n
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Hardware","location":"Pittsburgh, PA","team":"Embedded Hardware Engineering","allLocations":["Pittsburgh, PA"]},"createdAt":1785871175900,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nAs an Electrical Engineer, you will be responsible for turning our custom electronics from a design file into road-ready hardware. You'll partner with our contract manufacturers to get boards built and then work with technicians to validate, program and assemble them, ready to be installed on our autonomous vehicles. You will also be responsible for ensuring the quality of our designs by designing test fixtures and working on Verification and Validation efforts. On top of all that, when something doesn't behave the way the schematic says it should, you'll be getting your hands dirty as the one with the soldering iron, the scope, and the terminal open.\n\nThis is an onsite position to be based in Pittsburgh with the expectations of 3-4 days onsite.\n\nYou Will…\nCM Coordination: Work directly with our Contract Manufacturers (CMs) to get PCBs and assemblies manufactured. You'll shepherd builds through fabrication, follow up on schedules, and flag issues before they become bottlenecks.\nIncoming Inspection & Assembly: Collaborate with our quality management team to develop controls and monitors of our embedded hardware products at various stages of manufacture. You’ll work with our technicians to inspect received boards for quality and workmanship issues, perform rework and hand-assembly as needed, test and validate boards and then integrate into their final enclosures. And of course, you’ll make sure we comply with our OEM partner and internal quality standards.\nInventory Management: Track components, boards, and assemblies so the team always knows what's on hand, what's in transit, and what needs reordering.\nEnd-of-Line (EOL) Debug: Support vehicle end-of-line testing by helping diagnose and resolve board- and vehicle-level issues.\nTest Fixture Design & Module V&V: You’ll work with our design and V&V teams to develop module end-of-line test fixtures, which you’ll then use to evaluate our designs under nominal and stressful environmental and electrical conditions.\n\nQualifications:\nThe Credentials: BS/MS in Electrical Engineering or a related field. You’ve likely spent 10+ years in hardware development and/or test engineering, with at least 2-3 years in a formal leadership role.\nCM Fluency: You speak the language of CMs. You understand how to partner with them to deliver a high quality product\nThe \"Maker\" Mindset: You aren't afraid to get your hands dirty in the lab, but you have the strategic vision to step back and manage the high-level roadmap.\nProcess Improver: You are always looking for ways to improve our designs, our processes, and the ways we work.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
As an Electrical Engineer, you will be responsible for turning our custom electronics from a design file into road-ready hardware. You'll partner with our contract manufacturers to get boards built and then work with technicians to validate, program and assemble them, ready to be installed on our autonomous vehicles. You will also be responsible for ensuring the quality of our designs by designing test fixtures and working on Verification and Validation efforts. On top of all that, when something doesn't behave the way the schematic says it should, you'll be getting your hands dirty as the one with the soldering iron, the scope, and the terminal open.
\n
This is an onsite position to be based in Pittsburgh with the expectations of 3-4 days onsite.
\n
You Will…
\n
\n- CM Coordination: Work directly with our Contract Manufacturers (CMs) to get PCBs and assemblies manufactured. You'll shepherd builds through fabrication, follow up on schedules, and flag issues before they become bottlenecks.
\n- Incoming Inspection & Assembly: Collaborate with our quality management team to develop controls and monitors of our embedded hardware products at various stages of manufacture. You’ll work with our technicians to inspect received boards for quality and workmanship issues, perform rework and hand-assembly as needed, test and validate boards and then integrate into their final enclosures. And of course, you’ll make sure we comply with our OEM partner and internal quality standards.
\n- Inventory Management: Track components, boards, and assemblies so the team always knows what's on hand, what's in transit, and what needs reordering.
\n- End-of-Line (EOL) Debug: Support vehicle end-of-line testing by helping diagnose and resolve board- and vehicle-level issues.
\n- Test Fixture Design & Module V&V: You’ll work with our design and V&V teams to develop module end-of-line test fixtures, which you’ll then use to evaluate our designs under nominal and stressful environmental and electrical conditions.
\n
\n
Qualifications:
\n
\n- The Credentials: BS/MS in Electrical Engineering or a related field. You’ve likely spent 10+ years in hardware development and/or test engineering, with at least 2-3 years in a formal leadership role.
\n- CM Fluency: You speak the language of CMs. You understand how to partner with them to deliver a high quality product
\n- The \"Maker\" Mindset: You aren't afraid to get your hands dirty in the lab, but you have the strategic vision to step back and manage the high-level roadmap.
\n- Process Improver: You are always looking for ways to improve our designs, our processes, and the ways we work.
\n
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
As an Electrical Engineer, you will be responsible for turning our custom electronics from a design file into road-ready hardware. You'll partner with our contract manufacturers to get boards built and then work with technicians to validate, program and assemble them, ready to be installed on our autonomous vehicles. You will also be responsible for ensuring the quality of our designs by designing test fixtures and working on Verification and Validation efforts. On top of all that, when something doesn't behave the way the schematic says it should, you'll be getting your hands dirty as the one with the soldering iron, the scope, and the terminal open.
\n
This is an onsite position to be based in Pittsburgh with the expectations of 3-4 days onsite.
\n
You Will…
\n
\n- CM Coordination: Work directly with our Contract Manufacturers (CMs) to get PCBs and assemblies manufactured. You'll shepherd builds through fabrication, follow up on schedules, and flag issues before they become bottlenecks.
\n- Incoming Inspection & Assembly: Collaborate with our quality management team to develop controls and monitors of our embedded hardware products at various stages of manufacture. You’ll work with our technicians to inspect received boards for quality and workmanship issues, perform rework and hand-assembly as needed, test and validate boards and then integrate into their final enclosures. And of course, you’ll make sure we comply with our OEM partner and internal quality standards.
\n- Inventory Management: Track components, boards, and assemblies so the team always knows what's on hand, what's in transit, and what needs reordering.
\n- End-of-Line (EOL) Debug: Support vehicle end-of-line testing by helping diagnose and resolve board- and vehicle-level issues.
\n- Test Fixture Design & Module V&V: You’ll work with our design and V&V teams to develop module end-of-line test fixtures, which you’ll then use to evaluate our designs under nominal and stressful environmental and electrical conditions.
\n
\n
Qualifications:
\n
\n- The Credentials: BS/MS in Electrical Engineering or a related field. You’ve likely spent 10+ years in hardware development and/or test engineering, with at least 2-3 years in a formal leadership role.
\n- CM Fluency: You speak the language of CMs. You understand how to partner with them to deliver a high quality product
\n- The \"Maker\" Mindset: You aren't afraid to get your hands dirty in the lab, but you have the strategic vision to step back and manage the high-level roadmap.
\n- Process Improver: You are always looking for ways to improve our designs, our processes, and the ways we work.
\n
\n
The US yearly salary range for this role is: $148,000 - $249,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
","categories":{"commitment":"Full-time","department":"Hardware","location":"Toronto, ON","team":"Embedded Hardware Engineering","allLocations":["Toronto, ON","San Francisco, CA","Pittsburgh, PA"]},"createdAt":1770924194305,"descriptionPlain":"The Embedded Software team owns our low-level software integration platform, coordinating communications amongst modules, low level control algorithms and safety assurance processes. Most of the work the Embedded team does requires access to the actual hardware, whether it be boards or vehicles. The intent of this position is to build best in class capabilities around embedded software development.\n \nYou will…\nImplement low-level, safety critical embedded software for truck control functions such as engine control, steering and braking.\nIntegrate sensors and vehicle actuation feedback with our localization and control systems in order to implement redundant safety features.\nCollaborate with our hardware, safety and systems teams on design, build and validation of highly reliable next generation systems.\nDevelop software according to industry-best practices for safe, reliable and robust code.\nSupport the bring up and operation of the autonomous platform, both remotely and on-site.\nWork with our other software and autonomy engineers on implementing the low-level functions necessary to drive success in the autonomous vehicle field.\n \nQualifications:\nAn experienced (5+ years) developer who codes embedded software on low level ARM microcontrollers and processors (sometimes with an RTOS) with one hand while wielding an oscilloscope probe with the other.\nA developer who cares about building beautiful (but pragmatic) reusable embedded code and the systems to test and maintain that code.\nA technical leader who enjoys mentoring junior developers and engineers and collaborating across teamsSomeone who has deep experience with any of C/C++/Rust (we primarily use Rust).\nExperienced working on safety-critical, hi-reliability software projects following relevant industry safety standards.\n \nRequirements: This position is an onsite/hybrid position that will require onsite 3-5 days per week. This position will be hands-on partnering closely with our Compute, Hardware, and Sensor teams.\n","description":"The Embedded Software team owns our low-level software integration platform, coordinating communications amongst modules, low level control algorithms and safety assurance processes. Most of the work the Embedded team does requires access to the actual hardware, whether it be boards or vehicles. The intent of this position is to build best in class capabilities around embedded software development.
\n
\nYou will…
\n\n- Implement low-level, safety critical embedded software for truck control functions such as engine control, steering and braking.
\n- Integrate sensors and vehicle actuation feedback with our localization and control systems in order to implement redundant safety features.
\n- Collaborate with our hardware, safety and systems teams on design, build and validation of highly reliable next generation systems.
\n- Develop software according to industry-best practices for safe, reliable and robust code.
\n- Support the bring up and operation of the autonomous platform, both remotely and on-site.
\n- Work with our other software and autonomy engineers on implementing the low-level functions necessary to drive success in the autonomous vehicle field.
\n
\n
\nQualifications:
\n\n- An experienced (5+ years) developer who codes embedded software on low level ARM microcontrollers and processors (sometimes with an RTOS) with one hand while wielding an oscilloscope probe with the other.
\n- A developer who cares about building beautiful (but pragmatic) reusable embedded code and the systems to test and maintain that code.
\n- A technical leader who enjoys mentoring junior developers and engineers and collaborating across teamsSomeone who has deep experience with any of C/C++/Rust (we primarily use Rust).
\n- Experienced working on safety-critical, hi-reliability software projects following relevant industry safety standards.
\n
\n
\nRequirements: This position is an onsite/hybrid position that will require onsite 3-5 days per week. This position will be hands-on partnering closely with our Compute, Hardware, and Sensor teams.
","id":"941f9a1b-c3b8-456e-a469-ddf2d7bcd46a","lists":[],"text":"Senior / Staff Embedded Software Engineer","country":"CA","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"The Embedded Software team owns our low-level software integration platform, coordinating communications amongst modules, low level control algorithms and safety assurance processes. Most of the work the Embedded team does requires access to the actual hardware, whether it be boards or vehicles. The intent of this position is to build best in class capabilities around embedded software development.
\n
\nYou will…
\n\n- Implement low-level, safety critical embedded software for truck control functions such as engine control, steering and braking.
\n- Integrate sensors and vehicle actuation feedback with our localization and control systems in order to implement redundant safety features.
\n- Collaborate with our hardware, safety and systems teams on design, build and validation of highly reliable next generation systems.
\n- Develop software according to industry-best practices for safe, reliable and robust code.
\n- Support the bring up and operation of the autonomous platform, both remotely and on-site.
\n- Work with our other software and autonomy engineers on implementing the low-level functions necessary to drive success in the autonomous vehicle field.
\n
\n
\nQualifications:
\n\n- An experienced (5+ years) developer who codes embedded software on low level ARM microcontrollers and processors (sometimes with an RTOS) with one hand while wielding an oscilloscope probe with the other.
\n- A developer who cares about building beautiful (but pragmatic) reusable embedded code and the systems to test and maintain that code.
\n- A technical leader who enjoys mentoring junior developers and engineers and collaborating across teamsSomeone who has deep experience with any of C/C++/Rust (we primarily use Rust).
\n- Experienced working on safety-critical, hi-reliability software projects following relevant industry safety standards.
\n
\n
\nRequirements: This position is an onsite/hybrid position that will require onsite 3-5 days per week. This position will be hands-on partnering closely with our Compute, Hardware, and Sensor teams.
","descriptionBodyPlain":"The Embedded Software team owns our low-level software integration platform, coordinating communications amongst modules, low level control algorithms and safety assurance processes. Most of the work the Embedded team does requires access to the actual hardware, whether it be boards or vehicles. The intent of this position is to build best in class capabilities around embedded software development.\n \nYou will…\nImplement low-level, safety critical embedded software for truck control functions such as engine control, steering and braking.\nIntegrate sensors and vehicle actuation feedback with our localization and control systems in order to implement redundant safety features.\nCollaborate with our hardware, safety and systems teams on design, build and validation of highly reliable next generation systems.\nDevelop software according to industry-best practices for safe, reliable and robust code.\nSupport the bring up and operation of the autonomous platform, both remotely and on-site.\nWork with our other software and autonomy engineers on implementing the low-level functions necessary to drive success in the autonomous vehicle field.\n \nQualifications:\nAn experienced (5+ years) developer who codes embedded software on low level ARM microcontrollers and processors (sometimes with an RTOS) with one hand while wielding an oscilloscope probe with the other.\nA developer who cares about building beautiful (but pragmatic) reusable embedded code and the systems to test and maintain that code.\nA technical leader who enjoys mentoring junior developers and engineers and collaborating across teamsSomeone who has deep experience with any of C/C++/Rust (we primarily use Rust).\nExperienced working on safety-critical, hi-reliability software projects following relevant industry safety standards.\n \nRequirements: This position is an onsite/hybrid position that will require onsite 3-5 days per week. This position will be hands-on partnering closely with our Compute, Hardware, and Sensor teams.\n","hostedUrl":"https://jobs.lever.co/waabi/941f9a1b-c3b8-456e-a469-ddf2d7bcd46a","applyUrl":"https://jobs.lever.co/waabi/941f9a1b-c3b8-456e-a469-ddf2d7bcd46a/apply"},{"additionalPlain":"Perks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Hardware","location":"Pittsburgh, PA","team":"Mechanical Engineering","allLocations":["Pittsburgh, PA"]},"createdAt":1787163970257,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\nDrive APQP Program Management at CM/Tier 1 sites, owning APQP to ensure a flawless Start of Production (SOP) and obtain PPAP deliverables.\nDesign for Manufacturing (DFM) & Assembly (DFA): Provide design maturity feedback during APQP Phase 2, ensuring that the hardware can be built repeatedly with the CM’s specific tooling and equipment.\nSupport Supplier Quality Engineering (SQE) by validating that component-level PPAPs from sub-tier vendors are integrated correctly into the CM’s assembly process.\nBe responsible for the mechanical assembly, test, and integration of sensors, compute, and actuation systems, defining the special characteristic (SC/CC) steps for the manufacturing process.\nWork closely with cross-functional teams to define, deploy, and validate End-of-Line (EOL) testers and calibration routines that confirm the \"digital health\" of the hardware.\nLead the development of Process PPAP deliverables, including PFMEAs, Process Flow Diagrams, Control Plans, and Work Instructions ensuring the CM has identified and mitigated all assembly-related risks with \"Poka-Yoke\" (error-proofing) solution, and has established a robust manufacturing process.\nDesign and qualify manufacturing equipment, tooling and gauges, ensuring that manufacturing process controls are in place. Providing assurance that GD&T and/or general specification and tolerance requirements are consistently met through MSA (Measurement Systems Analysis) and Gage R&R.\nSupport Process Verification (PV) Testing, conducting \"Run-at-Rate\" studies to prove the manufacturing line can sustain quality targets at full production speed.\nLead internal and CM-based RCCA (Root Cause Corrective Action) using the 8D methodology to resolve technical assembly failures during manufacturing.\nManage Metrology and Measurement Systems Analysis (MSA), ensuring that all gauges and inspection fixtures at the CM are qualified via Gage R&R before production use.\nCollaborate with Field Quality teams to update manufacturing Control Plans based on real-world performance data and feedback from OEM partners.\n \nQualifications:\nBachelors of Science in Mechanical Engineering or similar fields.\nNPI & CM Oversight Experience: Proven track record of launching automotive or high-tech hardware at Tier 1 or Contract Manufacturers using structured quality gates.\nTechnical ownership of the launch cycle, specifically focusing on the transition from prototype to a production-validated manufacturing line.\nAdvanced APQP & PPAP Management: Mastery of Control Plans, Process Flows, and Gage R&R, with a specific focus on manufacturing process stability (Cpk). Experience managing the transition from Design Verification (DV) to Process Verification (PV) and overseeing full PPAP submissions for complex electromechanical systems.\nProficient with Solidworks for reviewing assembly fixtures, pallets, and inspection jigs.\nExpertise in GD&T & Metrology: Deep understanding of how to verify complex mechanical tolerances in a production environment using CMM, OMM, or vision systems.\nProblem-Solving Expert: Mastery of 8D and RCCA, with the ability to lead high-pressure technical resolution activities during a production ramp.\nExperience with PLM tools and document revision control to manage Engineering Change Orders (ECOs) and ensure BOM accuracy during the APQP cycle.\nExperience with various manufacturing processes such as precision torque, thermal interface material (TIM) dispensing, and high-stakes sensor calibration.\nPresent manufacturing readiness to cross-functional teams, using data-driven insights to justify the move from APQP Phase 3 to Phase 4.\n \nBonus Qualifications:\nAutomotive, Aerospace, Autonomous Vehicle (AV) or EV industry experience is highly preferred.\nIPC/WHMA-A-620 and IPC-A-610 knowledge for acceptance of wire harness assemblies and electronic assemblies.\nExperience with Robotic Workcells or automated assembly systems.\nCertified Quality Engineer (CQE) or Six Sigma Green/Black Belt.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
You will...
\n
\n- Drive APQP Program Management at CM/Tier 1 sites, owning APQP to ensure a flawless Start of Production (SOP) and obtain PPAP deliverables.
\n- Design for Manufacturing (DFM) & Assembly (DFA): Provide design maturity feedback during APQP Phase 2, ensuring that the hardware can be built repeatedly with the CM’s specific tooling and equipment.
\n- Support Supplier Quality Engineering (SQE) by validating that component-level PPAPs from sub-tier vendors are integrated correctly into the CM’s assembly process.
\n- Be responsible for the mechanical assembly, test, and integration of sensors, compute, and actuation systems, defining the special characteristic (SC/CC) steps for the manufacturing process.
\n- Work closely with cross-functional teams to define, deploy, and validate End-of-Line (EOL) testers and calibration routines that confirm the \"digital health\" of the hardware.
\n- Lead the development of Process PPAP deliverables, including PFMEAs, Process Flow Diagrams, Control Plans, and Work Instructions ensuring the CM has identified and mitigated all assembly-related risks with \"Poka-Yoke\" (error-proofing) solution, and has established a robust manufacturing process.
\n- Design and qualify manufacturing equipment, tooling and gauges, ensuring that manufacturing process controls are in place. Providing assurance that GD&T and/or general specification and tolerance requirements are consistently met through MSA (Measurement Systems Analysis) and Gage R&R.
\n- Support Process Verification (PV) Testing, conducting \"Run-at-Rate\" studies to prove the manufacturing line can sustain quality targets at full production speed.
\n- Lead internal and CM-based RCCA (Root Cause Corrective Action) using the 8D methodology to resolve technical assembly failures during manufacturing.
\n- Manage Metrology and Measurement Systems Analysis (MSA), ensuring that all gauges and inspection fixtures at the CM are qualified via Gage R&R before production use.
\n- Collaborate with Field Quality teams to update manufacturing Control Plans based on real-world performance data and feedback from OEM partners.
\n
\n
\n
Qualifications:
\n
\n- Bachelors of Science in Mechanical Engineering or similar fields.
\n- NPI & CM Oversight Experience: Proven track record of launching automotive or high-tech hardware at Tier 1 or Contract Manufacturers using structured quality gates.
\n- Technical ownership of the launch cycle, specifically focusing on the transition from prototype to a production-validated manufacturing line.
\n- Advanced APQP & PPAP Management: Mastery of Control Plans, Process Flows, and Gage R&R, with a specific focus on manufacturing process stability (Cpk). Experience managing the transition from Design Verification (DV) to Process Verification (PV) and overseeing full PPAP submissions for complex electromechanical systems.
\n- Proficient with Solidworks for reviewing assembly fixtures, pallets, and inspection jigs.
\n- Expertise in GD&T & Metrology: Deep understanding of how to verify complex mechanical tolerances in a production environment using CMM, OMM, or vision systems.
\n- Problem-Solving Expert: Mastery of 8D and RCCA, with the ability to lead high-pressure technical resolution activities during a production ramp.
\n- Experience with PLM tools and document revision control to manage Engineering Change Orders (ECOs) and ensure BOM accuracy during the APQP cycle.
\n- Experience with various manufacturing processes such as precision torque, thermal interface material (TIM) dispensing, and high-stakes sensor calibration.
\n- Present manufacturing readiness to cross-functional teams, using data-driven insights to justify the move from APQP Phase 3 to Phase 4.
\n
\n
\n
Bonus Qualifications:
\n
\n- Automotive, Aerospace, Autonomous Vehicle (AV) or EV industry experience is highly preferred.
\n- IPC/WHMA-A-620 and IPC-A-610 knowledge for acceptance of wire harness assemblies and electronic assemblies.
\n- Experience with Robotic Workcells or automated assembly systems.
\n- Certified Quality Engineer (CQE) or Six Sigma Green/Black Belt.
\n
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
You will...
\n
\n- Drive APQP Program Management at CM/Tier 1 sites, owning APQP to ensure a flawless Start of Production (SOP) and obtain PPAP deliverables.
\n- Design for Manufacturing (DFM) & Assembly (DFA): Provide design maturity feedback during APQP Phase 2, ensuring that the hardware can be built repeatedly with the CM’s specific tooling and equipment.
\n- Support Supplier Quality Engineering (SQE) by validating that component-level PPAPs from sub-tier vendors are integrated correctly into the CM’s assembly process.
\n- Be responsible for the mechanical assembly, test, and integration of sensors, compute, and actuation systems, defining the special characteristic (SC/CC) steps for the manufacturing process.
\n- Work closely with cross-functional teams to define, deploy, and validate End-of-Line (EOL) testers and calibration routines that confirm the \"digital health\" of the hardware.
\n- Lead the development of Process PPAP deliverables, including PFMEAs, Process Flow Diagrams, Control Plans, and Work Instructions ensuring the CM has identified and mitigated all assembly-related risks with \"Poka-Yoke\" (error-proofing) solution, and has established a robust manufacturing process.
\n- Design and qualify manufacturing equipment, tooling and gauges, ensuring that manufacturing process controls are in place. Providing assurance that GD&T and/or general specification and tolerance requirements are consistently met through MSA (Measurement Systems Analysis) and Gage R&R.
\n- Support Process Verification (PV) Testing, conducting \"Run-at-Rate\" studies to prove the manufacturing line can sustain quality targets at full production speed.
\n- Lead internal and CM-based RCCA (Root Cause Corrective Action) using the 8D methodology to resolve technical assembly failures during manufacturing.
\n- Manage Metrology and Measurement Systems Analysis (MSA), ensuring that all gauges and inspection fixtures at the CM are qualified via Gage R&R before production use.
\n- Collaborate with Field Quality teams to update manufacturing Control Plans based on real-world performance data and feedback from OEM partners.
\n
\n
\n
Qualifications:
\n
\n- Bachelors of Science in Mechanical Engineering or similar fields.
\n- NPI & CM Oversight Experience: Proven track record of launching automotive or high-tech hardware at Tier 1 or Contract Manufacturers using structured quality gates.
\n- Technical ownership of the launch cycle, specifically focusing on the transition from prototype to a production-validated manufacturing line.
\n- Advanced APQP & PPAP Management: Mastery of Control Plans, Process Flows, and Gage R&R, with a specific focus on manufacturing process stability (Cpk). Experience managing the transition from Design Verification (DV) to Process Verification (PV) and overseeing full PPAP submissions for complex electromechanical systems.
\n- Proficient with Solidworks for reviewing assembly fixtures, pallets, and inspection jigs.
\n- Expertise in GD&T & Metrology: Deep understanding of how to verify complex mechanical tolerances in a production environment using CMM, OMM, or vision systems.
\n- Problem-Solving Expert: Mastery of 8D and RCCA, with the ability to lead high-pressure technical resolution activities during a production ramp.
\n- Experience with PLM tools and document revision control to manage Engineering Change Orders (ECOs) and ensure BOM accuracy during the APQP cycle.
\n- Experience with various manufacturing processes such as precision torque, thermal interface material (TIM) dispensing, and high-stakes sensor calibration.
\n- Present manufacturing readiness to cross-functional teams, using data-driven insights to justify the move from APQP Phase 3 to Phase 4.
\n
\n
\n
Bonus Qualifications:
\n
\n- Automotive, Aerospace, Autonomous Vehicle (AV) or EV industry experience is highly preferred.
\n- IPC/WHMA-A-620 and IPC-A-610 knowledge for acceptance of wire harness assemblies and electronic assemblies.
\n- Experience with Robotic Workcells or automated assembly systems.
\n- Certified Quality Engineer (CQE) or Six Sigma Green/Black Belt.
\n
\n
The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\nWaabi provides a competitive benefits package that includes:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- World-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Remote US & Canada","team":"Autonomy & Algorithms","allLocations":["Remote US & Canada","Dallas, TX","Phoenix, AZ","Pittsburgh, PA","San Francisco, CA","Toronto, ON"]},"createdAt":1745492612208,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\n- Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach.\n- Expand the model deployment pipeline to new GPUs and embedded systems for the next generation of our onboard compute system.\n- Use frameworks such as TensorRT and modelopt to optimize the models running on the truck.\n- Create and benchmark new CUDA kernels for inference.\n- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.\n \nQualifications:\n- MS/PhD or Bachelors degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.\n- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.\n- Experience in deep learning frameworks such as PyTorch.\n- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.\n- Experience with Nvidia embedded platforms such as Nvidia Jetson or Thor.\n- Open-minded and collaborative team player with willingness to help others.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus/nice to have:\n- Experience in model compilation and exporting, interaction with lower level concepts like TensorRT.\n- Experience in identifying when custom CUDA kernels are needed, and implementing them.\n- Experience in Bazel build systems, and integrating third party packages into dev environments.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will...
\n- Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach.
\n- Expand the model deployment pipeline to new GPUs and embedded systems for the next generation of our onboard compute system.
\n- Use frameworks such as TensorRT and modelopt to optimize the models running on the truck.
\n- Create and benchmark new CUDA kernels for inference.
\n- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.
\n
\nQualifications:
\n- MS/PhD or Bachelors degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
\n- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.
\n- Experience in deep learning frameworks such as PyTorch.
\n- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.
\n- Experience with Nvidia embedded platforms such as Nvidia Jetson or Thor.
\n- Open-minded and collaborative team player with willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\nBonus/nice to have:
\n- Experience in model compilation and exporting, interaction with lower level concepts like TensorRT.
\n- Experience in identifying when custom CUDA kernels are needed, and implementing them.
\n- Experience in Bazel build systems, and integrating third party packages into dev environments.
","id":"12052535-2f24-44b0-800d-eca98a6405b5","lists":[],"text":"Senior / Staff ML Onboard Optimization Engineer","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will...
\n- Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach.
\n- Expand the model deployment pipeline to new GPUs and embedded systems for the next generation of our onboard compute system.
\n- Use frameworks such as TensorRT and modelopt to optimize the models running on the truck.
\n- Create and benchmark new CUDA kernels for inference.
\n- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.
\n
\nQualifications:
\n- MS/PhD or Bachelors degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
\n- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.
\n- Experience in deep learning frameworks such as PyTorch.
\n- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.
\n- Experience with Nvidia embedded platforms such as Nvidia Jetson or Thor.
\n- Open-minded and collaborative team player with willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\nBonus/nice to have:
\n- Experience in model compilation and exporting, interaction with lower level concepts like TensorRT.
\n- Experience in identifying when custom CUDA kernels are needed, and implementing them.
\n- Experience in Bazel build systems, and integrating third party packages into dev environments.
","descriptionBodyPlain":"You will...\n- Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach.\n- Expand the model deployment pipeline to new GPUs and embedded systems for the next generation of our onboard compute system.\n- Use frameworks such as TensorRT and modelopt to optimize the models running on the truck.\n- Create and benchmark new CUDA kernels for inference.\n- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.\n \nQualifications:\n- MS/PhD or Bachelors degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.\n- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.\n- Experience in deep learning frameworks such as PyTorch.\n- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.\n- Experience with Nvidia embedded platforms such as Nvidia Jetson or Thor.\n- Open-minded and collaborative team player with willingness to help others.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus/nice to have:\n- Experience in model compilation and exporting, interaction with lower level concepts like TensorRT.\n- Experience in identifying when custom CUDA kernels are needed, and implementing them.\n- Experience in Bazel build systems, and integrating third party packages into dev environments.\n","country":null,"hostedUrl":"https://jobs.lever.co/waabi/12052535-2f24-44b0-800d-eca98a6405b5","applyUrl":"https://jobs.lever.co/waabi/12052535-2f24-44b0-800d-eca98a6405b5/apply"},{"additionalPlain":"The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nWaabi provides a competitive benefits package that includes:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage.\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nWorld-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)\nAs we grow, this list continues to evolve! \n \nWaabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\nWaabi provides a competitive benefits package that includes:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- World-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Remote US & Canada","team":"Autonomy & Algorithms","allLocations":["Remote US & Canada","Dallas, TX","Phoenix, AZ","Pittsburgh, PA","San Francisco, CA","Toronto, ON"]},"createdAt":1778259092241,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\n- Build standardized distributed training frameworks for research and production, drive our training towards new levels of stability and efficiency.\n- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.\n- Identify and evaluate emerging technologies that can be adopted into Waabi’s training and inference frameworks. Examples include designing new CUDA kernels, quantization-aware training and inference, and compilation/deployment techniques.\n- Work with researchers and ML engineers on best-practices for optimal resource usage.\n- Create and improve tooling and dashboards to ensure broad adoption of your work.\n \nQualifications:\n- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.\n- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.\n- Experience in deep learning frameworks such as PyTorch or Jax.\n- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.\n- Open-minded and collaborative team player with willingness to help others.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus/nice to have:\n- Experience in identifying when custom CUDA kernels are needed, and implementing them.\n- Experience in Bazel in a monorepo environment, and integrating third party packages into dev environments.\n- Experience with Kubernetes-based training platforms.\n \n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will...
\n- Build standardized distributed training frameworks for research and production, drive our training towards new levels of stability and efficiency.
\n- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.
\n- Identify and evaluate emerging technologies that can be adopted into Waabi’s training and inference frameworks. Examples include designing new CUDA kernels, quantization-aware training and inference, and compilation/deployment techniques.
\n- Work with researchers and ML engineers on best-practices for optimal resource usage.
\n- Create and improve tooling and dashboards to ensure broad adoption of your work.
\n
\nQualifications:
\n- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
\n- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.
\n- Experience in deep learning frameworks such as PyTorch or Jax.
\n- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.
\n- Open-minded and collaborative team player with willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\nBonus/nice to have:
\n- Experience in identifying when custom CUDA kernels are needed, and implementing them.
\n- Experience in Bazel in a monorepo environment, and integrating third party packages into dev environments.
\n- Experience with Kubernetes-based training platforms.
\n
","id":"eedaf111-0efd-4f8f-9c2d-ce829b5cb0eb","lists":[],"text":"Senior / Staff ML Training Optimization Engineer","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will...
\n- Build standardized distributed training frameworks for research and production, drive our training towards new levels of stability and efficiency.
\n- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.
\n- Identify and evaluate emerging technologies that can be adopted into Waabi’s training and inference frameworks. Examples include designing new CUDA kernels, quantization-aware training and inference, and compilation/deployment techniques.
\n- Work with researchers and ML engineers on best-practices for optimal resource usage.
\n- Create and improve tooling and dashboards to ensure broad adoption of your work.
\n
\nQualifications:
\n- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
\n- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.
\n- Experience in deep learning frameworks such as PyTorch or Jax.
\n- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.
\n- Open-minded and collaborative team player with willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\nBonus/nice to have:
\n- Experience in identifying when custom CUDA kernels are needed, and implementing them.
\n- Experience in Bazel in a monorepo environment, and integrating third party packages into dev environments.
\n- Experience with Kubernetes-based training platforms.
\n
","descriptionBodyPlain":"You will...\n- Build standardized distributed training frameworks for research and production, drive our training towards new levels of stability and efficiency.\n- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.\n- Identify and evaluate emerging technologies that can be adopted into Waabi’s training and inference frameworks. Examples include designing new CUDA kernels, quantization-aware training and inference, and compilation/deployment techniques.\n- Work with researchers and ML engineers on best-practices for optimal resource usage.\n- Create and improve tooling and dashboards to ensure broad adoption of your work.\n \nQualifications:\n- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.\n- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.\n- Experience in deep learning frameworks such as PyTorch or Jax.\n- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.\n- Open-minded and collaborative team player with willingness to help others.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus/nice to have:\n- Experience in identifying when custom CUDA kernels are needed, and implementing them.\n- Experience in Bazel in a monorepo environment, and integrating third party packages into dev environments.\n- Experience with Kubernetes-based training platforms.\n \n","country":null,"hostedUrl":"https://jobs.lever.co/waabi/eedaf111-0efd-4f8f-9c2d-ce829b5cb0eb","applyUrl":"https://jobs.lever.co/waabi/eedaf111-0efd-4f8f-9c2d-ce829b5cb0eb/apply"},{"additionalPlain":"The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Remote US & Canada","team":"Autonomy & Algorithms","allLocations":["Remote US & Canada","Dallas, TX","Phoenix, AZ","Pittsburgh, PA","San Francisco, CA","Toronto, ON"]},"createdAt":1682598116284,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nAs a Senior Perception Engineer, you will be at the forefront of advancing and deploying perception algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to perceive the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology.\n \nYou will...\n- Prototype, evaluate, and iterate on perception algorithms, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving technology. This includes working on 3D detection and tracking of traffic agents as well as semantic understanding of various traffic scenes.\n- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving.\n- Support productizing and deploying perception algorithms to our self-driving vehicles, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.\n- Champion engineering excellence, ensuring high-quality, well structured and tested code.\n- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.\n- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.\n- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.\n- Contribute to the publication of research findings in conferences as well as Waabi's blog.\n \nQualifications:\n- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.\n- Experience working on applied research projects and shipping machine learning features/models into production.\n- Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes.\n- Passion for taking research ideas and turning them into practical solutions for real-world applications.\n- Solid understanding of computing fundamentals, including code efficiency.\n- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.\n- Comfortable working with large datasets for machine learning applications.\n- Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.\n- Open-minded and collaborative team player with the willingness to help others.\n- Experience and excitement in supporting a fast-paced high-growth environment.\n- Passionate about being part of an organization solving self-driving technologies.\n \nBonus/nice to have:\n- Previous experience in multimodal sensor fusion. \n- Previous experience in self-driving technology or related fields.\n- Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics.\n- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.\n- Proficiency in Pytorch, Rust, C++ and/or CUDA.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
As a Senior Perception Engineer, you will be at the forefront of advancing and deploying perception algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to perceive the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology.
\n
\nYou will...
\n- Prototype, evaluate, and iterate on perception algorithms, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving technology. This includes working on 3D detection and tracking of traffic agents as well as semantic understanding of various traffic scenes.
\n- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving.
\n- Support productizing and deploying perception algorithms to our self-driving vehicles, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.
\n- Champion engineering excellence, ensuring high-quality, well structured and tested code.
\n- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.
\n- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.
\n- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.
\n- Contribute to the publication of research findings in conferences as well as Waabi's blog.
\n
\nQualifications:
\n- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.
\n- Experience working on applied research projects and shipping machine learning features/models into production.
\n- Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes.
\n- Passion for taking research ideas and turning them into practical solutions for real-world applications.
\n- Solid understanding of computing fundamentals, including code efficiency.
\n- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.
\n- Comfortable working with large datasets for machine learning applications.
\n- Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Experience and excitement in supporting a fast-paced high-growth environment.
\n- Passionate about being part of an organization solving self-driving technologies.
\n
\nBonus/nice to have:
\n- Previous experience in multimodal sensor fusion.
\n- Previous experience in self-driving technology or related fields.
\n- Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics.
\n- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.
\n- Proficiency in Pytorch, Rust, C++ and/or CUDA.
","id":"70c7e203-8ab2-4e00-a8df-ddc9250fdeb8","lists":[],"text":"Senior / Staff Perception Engineer","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"As a Senior Perception Engineer, you will be at the forefront of advancing and deploying perception algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to perceive the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology.
\n
\nYou will...
\n- Prototype, evaluate, and iterate on perception algorithms, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving technology. This includes working on 3D detection and tracking of traffic agents as well as semantic understanding of various traffic scenes.
\n- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving.
\n- Support productizing and deploying perception algorithms to our self-driving vehicles, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.
\n- Champion engineering excellence, ensuring high-quality, well structured and tested code.
\n- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.
\n- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.
\n- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.
\n- Contribute to the publication of research findings in conferences as well as Waabi's blog.
\n
\nQualifications:
\n- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.
\n- Experience working on applied research projects and shipping machine learning features/models into production.
\n- Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes.
\n- Passion for taking research ideas and turning them into practical solutions for real-world applications.
\n- Solid understanding of computing fundamentals, including code efficiency.
\n- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.
\n- Comfortable working with large datasets for machine learning applications.
\n- Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Experience and excitement in supporting a fast-paced high-growth environment.
\n- Passionate about being part of an organization solving self-driving technologies.
\n
\nBonus/nice to have:
\n- Previous experience in multimodal sensor fusion.
\n- Previous experience in self-driving technology or related fields.
\n- Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics.
\n- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.
\n- Proficiency in Pytorch, Rust, C++ and/or CUDA.
","descriptionBodyPlain":"As a Senior Perception Engineer, you will be at the forefront of advancing and deploying perception algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to perceive the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology.\n \nYou will...\n- Prototype, evaluate, and iterate on perception algorithms, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving technology. This includes working on 3D detection and tracking of traffic agents as well as semantic understanding of various traffic scenes.\n- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving.\n- Support productizing and deploying perception algorithms to our self-driving vehicles, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.\n- Champion engineering excellence, ensuring high-quality, well structured and tested code.\n- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.\n- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.\n- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.\n- Contribute to the publication of research findings in conferences as well as Waabi's blog.\n \nQualifications:\n- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.\n- Experience working on applied research projects and shipping machine learning features/models into production.\n- Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes.\n- Passion for taking research ideas and turning them into practical solutions for real-world applications.\n- Solid understanding of computing fundamentals, including code efficiency.\n- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.\n- Comfortable working with large datasets for machine learning applications.\n- Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.\n- Open-minded and collaborative team player with the willingness to help others.\n- Experience and excitement in supporting a fast-paced high-growth environment.\n- Passionate about being part of an organization solving self-driving technologies.\n \nBonus/nice to have:\n- Previous experience in multimodal sensor fusion. \n- Previous experience in self-driving technology or related fields.\n- Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics.\n- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.\n- Proficiency in Pytorch, Rust, C++ and/or CUDA.\n","country":null,"hostedUrl":"https://jobs.lever.co/waabi/70c7e203-8ab2-4e00-a8df-ddc9250fdeb8","applyUrl":"https://jobs.lever.co/waabi/70c7e203-8ab2-4e00-a8df-ddc9250fdeb8/apply"},{"additionalPlain":"Perks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Toronto, ON","team":"Autonomy & Algorithms","allLocations":["Toronto, ON","San Francisco, CA","Pittsburgh, PA","Remote US & Canada"]},"createdAt":1785445148108,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will…
\n\n- \n
Be part of a multidisciplinary team of Research Scientists and Engineers building the content backbone of a best-in-class multi-sensor simulation stack.
\n \n- \n
Architect and own asset pipelines end-to-end: From raw sensor logs all the way into simulation-ready representations (e.g., 3DGS, NeRF, mesh, hybrid), validation, packaging, and serving into Waabi World.
\n \n- \n
Design schemas, formats, and storage for a heterogeneous asset library spanning traditional mesh/material assets, neural representations, and generative-model outputs. Ownership of design decisions ranging from formats and compression, to streaming, and cross-renderer interop.
\n \n- \n
Build tooling and visualization that lets research scientists, simulation engineers, and technical artists inspect, compare, debug, and curate assets at the scale of tens of thousands of items — including search, similarity, lineage, and regression review.
\n \n- \n
Integrate cutting-edge research into the pipeline — collaborate with the neural rendering and generative AI teams to productionize the latest reconstruction, diffusion, and world-model techniques as first-class steps in the asset lifecycle.
\n \n- \n
Collaborate with autonomy and safety teams to ensure the asset catalog meets the diversity, realism, and coverage demands of training and closed-loop evaluation.
\n \n
\nQualifications:
\n\n- \n
Shipping Production Software. You have experience reading and developing production-quality software at scale, not just prototypes. You have shipped systems that other engineers and researchers depend on day-to-day.
\n \n- \n
3D Content Pipelines. You have built or extended large-scale 3D content pipelines — ingestion, processing, validation, versioning, and serving: for graphics, simulation, VFX, games, robotics, or AV. You understand the failure modes that emerge at tens of thousands of assets.
\n \n- \n
Modern 3D Representations. You are fluent across at least several of: traditional mesh/material/PBR, OpenUSD, NeRF, 3D Gaussian Splatting, and procedural/generative content. You understand the trade-offs between paradigms — fidelity, edit-ability, runtime cost, storage, interop, and can make pragmatic choices.
\n \n- \n
Cloud Infrastructure at Scale. Experience designing, launching, and debugging GPU jobs in the cloud (AWS, GCP, or equivalent), including job orchestration, cost modeling, and throughput optimization for batch and pipeline workloads.
\n \n- \n
Strong software engineering fundamentals. You write efficient and maintainable code in Python, as well as in at least one native systems language such as C++ or Rust
\n \n
","id":"a51f8167-0aef-4df7-8672-b5ebd8f566f2","lists":[],"text":"Senior / Staff Research Engineer, Simulation Assets & Content Systems","country":"CA","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will…
\n\n- \n
Be part of a multidisciplinary team of Research Scientists and Engineers building the content backbone of a best-in-class multi-sensor simulation stack.
\n \n- \n
Architect and own asset pipelines end-to-end: From raw sensor logs all the way into simulation-ready representations (e.g., 3DGS, NeRF, mesh, hybrid), validation, packaging, and serving into Waabi World.
\n \n- \n
Design schemas, formats, and storage for a heterogeneous asset library spanning traditional mesh/material assets, neural representations, and generative-model outputs. Ownership of design decisions ranging from formats and compression, to streaming, and cross-renderer interop.
\n \n- \n
Build tooling and visualization that lets research scientists, simulation engineers, and technical artists inspect, compare, debug, and curate assets at the scale of tens of thousands of items — including search, similarity, lineage, and regression review.
\n \n- \n
Integrate cutting-edge research into the pipeline — collaborate with the neural rendering and generative AI teams to productionize the latest reconstruction, diffusion, and world-model techniques as first-class steps in the asset lifecycle.
\n \n- \n
Collaborate with autonomy and safety teams to ensure the asset catalog meets the diversity, realism, and coverage demands of training and closed-loop evaluation.
\n \n
\nQualifications:
\n\n- \n
Shipping Production Software. You have experience reading and developing production-quality software at scale, not just prototypes. You have shipped systems that other engineers and researchers depend on day-to-day.
\n \n- \n
3D Content Pipelines. You have built or extended large-scale 3D content pipelines — ingestion, processing, validation, versioning, and serving: for graphics, simulation, VFX, games, robotics, or AV. You understand the failure modes that emerge at tens of thousands of assets.
\n \n- \n
Modern 3D Representations. You are fluent across at least several of: traditional mesh/material/PBR, OpenUSD, NeRF, 3D Gaussian Splatting, and procedural/generative content. You understand the trade-offs between paradigms — fidelity, edit-ability, runtime cost, storage, interop, and can make pragmatic choices.
\n \n- \n
Cloud Infrastructure at Scale. Experience designing, launching, and debugging GPU jobs in the cloud (AWS, GCP, or equivalent), including job orchestration, cost modeling, and throughput optimization for batch and pipeline workloads.
\n \n- \n
Strong software engineering fundamentals. You write efficient and maintainable code in Python, as well as in at least one native systems language such as C++ or Rust
\n \n
","descriptionBodyPlain":"","hostedUrl":"https://jobs.lever.co/waabi/a51f8167-0aef-4df7-8672-b5ebd8f566f2","applyUrl":"https://jobs.lever.co/waabi/a51f8167-0aef-4df7-8672-b5ebd8f566f2/apply"},{"additionalPlain":"Perks/Benefits:\nWaabi provides a competitive benefits package that includes:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage.\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nWorld-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)\nAs we grow, this list continues to evolve! \n \nWaabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"Perks/Benefits:
\nWaabi provides a competitive benefits package that includes:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- World-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Toronto, ON","team":"Software Engineering","allLocations":["Toronto, ON"]},"createdAt":1676081470936,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will…\n- Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale.\n- Build reliable and scalable tools and frameworks to support Autonomous Vehicle (AV) development.\n- Lead technical and architecture discussions, collaborating with Researchers and Engineers.\n- Mentor other software engineers via code reviews, technical design reviews, and sharing general software development best practices.\n- Assist in task planning and estimation.\n \nQualifications:\n- MS/PhD or Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.\n- 5+ years of industry experience reading and developing production quality software..\n- Experience using languages such as Python, Go, C++, or Rust.\n- Experience working in a team environment on a common codebase.\n- Ability to learn new technologies quickly.\n- Open-minded and collaborative team player with willingness to help others.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus/nice to have:\n- Experience programming in C++ for a real world robotic system.\n- Comfortable with Linux/other unix environments.\n- Comfortable with Docker.\n- Comfortable with git workflows.\n- Experience in robotics or machine learning.\n- Experience with automated testing.\n- Experience working in an Agile/Scrum environment.\n- Experience working with internal cross-functional partners/stakeholders when building software frameworks.\n-Experience in one or more of the following areas: application development, distributed systems, data storage and processing, parallel computing environments, emulation at scale, software performance, optimization, and profiling, concurrency and determinism, test-driven and API-driven development methodologies, system design/architecture, algorithms, data structure design, and low level threading. Front-end development and tools.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will…
\n- Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale.
\n- Build reliable and scalable tools and frameworks to support Autonomous Vehicle (AV) development.
\n- Lead technical and architecture discussions, collaborating with Researchers and Engineers.
\n- Mentor other software engineers via code reviews, technical design reviews, and sharing general software development best practices.
\n- Assist in task planning and estimation.
\n
\nQualifications:
\n- MS/PhD or Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.
\n- 5+ years of industry experience reading and developing production quality software..
\n- Experience using languages such as Python, Go, C++, or Rust.
\n- Experience working in a team environment on a common codebase.
\n- Ability to learn new technologies quickly.
\n- Open-minded and collaborative team player with willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\nBonus/nice to have:
\n- Experience programming in C++ for a real world robotic system.
\n- Comfortable with Linux/other unix environments.
\n- Comfortable with Docker.
\n- Comfortable with git workflows.
\n- Experience in robotics or machine learning.
\n- Experience with automated testing.
\n- Experience working in an Agile/Scrum environment.
\n- Experience working with internal cross-functional partners/stakeholders when building software frameworks.
\n-Experience in one or more of the following areas: application development, distributed systems, data storage and processing, parallel computing environments, emulation at scale, software performance, optimization, and profiling, concurrency and determinism, test-driven and API-driven development methodologies, system design/architecture, algorithms, data structure design, and low level threading. Front-end development and tools.
","id":"dc22b75d-ee0a-43d4-a59c-6101a3e77478","lists":[],"text":"Senior / Staff Software Engineer","country":"CA","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will…
\n- Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale.
\n- Build reliable and scalable tools and frameworks to support Autonomous Vehicle (AV) development.
\n- Lead technical and architecture discussions, collaborating with Researchers and Engineers.
\n- Mentor other software engineers via code reviews, technical design reviews, and sharing general software development best practices.
\n- Assist in task planning and estimation.
\n
\nQualifications:
\n- MS/PhD or Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.
\n- 5+ years of industry experience reading and developing production quality software..
\n- Experience using languages such as Python, Go, C++, or Rust.
\n- Experience working in a team environment on a common codebase.
\n- Ability to learn new technologies quickly.
\n- Open-minded and collaborative team player with willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\nBonus/nice to have:
\n- Experience programming in C++ for a real world robotic system.
\n- Comfortable with Linux/other unix environments.
\n- Comfortable with Docker.
\n- Comfortable with git workflows.
\n- Experience in robotics or machine learning.
\n- Experience with automated testing.
\n- Experience working in an Agile/Scrum environment.
\n- Experience working with internal cross-functional partners/stakeholders when building software frameworks.
\n-Experience in one or more of the following areas: application development, distributed systems, data storage and processing, parallel computing environments, emulation at scale, software performance, optimization, and profiling, concurrency and determinism, test-driven and API-driven development methodologies, system design/architecture, algorithms, data structure design, and low level threading. Front-end development and tools.
","descriptionBodyPlain":"You will…\n- Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale.\n- Build reliable and scalable tools and frameworks to support Autonomous Vehicle (AV) development.\n- Lead technical and architecture discussions, collaborating with Researchers and Engineers.\n- Mentor other software engineers via code reviews, technical design reviews, and sharing general software development best practices.\n- Assist in task planning and estimation.\n \nQualifications:\n- MS/PhD or Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.\n- 5+ years of industry experience reading and developing production quality software..\n- Experience using languages such as Python, Go, C++, or Rust.\n- Experience working in a team environment on a common codebase.\n- Ability to learn new technologies quickly.\n- Open-minded and collaborative team player with willingness to help others.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus/nice to have:\n- Experience programming in C++ for a real world robotic system.\n- Comfortable with Linux/other unix environments.\n- Comfortable with Docker.\n- Comfortable with git workflows.\n- Experience in robotics or machine learning.\n- Experience with automated testing.\n- Experience working in an Agile/Scrum environment.\n- Experience working with internal cross-functional partners/stakeholders when building software frameworks.\n-Experience in one or more of the following areas: application development, distributed systems, data storage and processing, parallel computing environments, emulation at scale, software performance, optimization, and profiling, concurrency and determinism, test-driven and API-driven development methodologies, system design/architecture, algorithms, data structure design, and low level threading. Front-end development and tools.\n","hostedUrl":"https://jobs.lever.co/waabi/dc22b75d-ee0a-43d4-a59c-6101a3e77478","applyUrl":"https://jobs.lever.co/waabi/dc22b75d-ee0a-43d4-a59c-6101a3e77478/apply"},{"additionalPlain":"The US yearly salary range for this role is: $165,000 - $265,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n \n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"\n
\n
The US yearly salary range for this role is: $165,000 - $265,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
\n
\n
\n
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Toronto, ON","team":"Autonomy & Algorithms","allLocations":["Toronto, ON","San Francisco, CA","Remote US & Canada"]},"createdAt":1789161946105,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nThe latest advances in AI tooling is fundamentally changing all teams' ways of working - from ML model development, to traditional software development, to non-technical business functions. We are building a dedicated AI Technical Strike Team to establish centralized best practices for working with AI across Waabi with the aim of maximizing productivity. We are looking for hands-on senior software engineers to build the AI tooling, agents, and workflows that accelerate how we work. As a Software Engineer on the AI Tech Strike Team, you will design, build, and ship the tools that compound the productivity of every team at Waabi. The team will own a mix of core tooling work and deployed engagements, where members of the team work closely with functions across Waabi to understand their pain points and co-design AI workflows to maximize productivity.\nYou will...\nDesign, build, and ship custom internal tooling, agents, and workflows tailored to Waabi — supporting our autonomy codebase, simulation environments, ML training pipelines, and research workflows, as well as agents and automations for business teams.\nIntegrate and extend third-party AI tools — from coding assistants and agents (e.g., Claude Code, Cursor, GitHub Copilot) to AI tools for non-engineering functions — building the integrations, configurations, and internal extensions that make them work well for Waabi.\nEvaluate new AI tools, models, and agent frameworks as they emerge, run structured pilots, and provide clear technical recommendations that inform build-vs-buy decisions.\nPartner directly with engineers, researchers, and business teams to understand their workflows, prototype solutions quickly, and iterate based on real usage.\nBuild observability around AI tooling at Waabi — tracking usage, adoption, cost, and quality — so we can prioritize with data and understand impact.\nImplement the guardrails for responsible AI tooling at Waabi in partnership with Security, Legal, IT, and Infrastructure.\nDrive adoption of the tools you build through documentation, enablement, office hours, and hands-on support — helping every team get more out of their tools every week.\nQualifications:\n5+ years of software engineering experience, with a track record of shipping tools, platforms, or products used by large internal or external user bases.\nDeep, hands-on familiarity with the current generation of AI coding tools and agents (Claude Code, Cursor, Copilot, Codex, or similar), and demonstrated experience building and shipping AI-powered products, agents, or workflows — including prompt engineering, evals, tool use, and integrating LLMs into production systems.\nStrong proficiency in Python (or another common programming language), and comfort working across modern build systems, CI/CD pipelines, and developer infrastructure.\nStrong product instincts and judgment: you can identify high-leverage problems across a diverse set of teams, scope pragmatic solutions, and ship things that actually get adopted.\nStrong written and verbal communication skills, comfortable operating with a high degree of autonomy in ambiguous, fast-moving territory and influencing engineers, researchers, and business partners.\nPassionate about self-driving technologies, frontier AI, and using AI to push the boundary of what a small, world-class team can accomplish.\nBonus/nice to have:\nPrior experience in a developer productivity, platform engineering, or AI tooling role, ideally with exposure to ML, robotics, or autonomous systems infrastructure (e.g., training pipelines, simulation tooling, large monorepos).\nExperience working effectively with non-engineering stakeholders — translating business workflows into technical solutions for functions like Finance, Commercial, Marketing, HR, Legal, and Operations.\nExperience building AI workflows or automation for business functions outside of engineering (e.g., finance automation, marketing operations, HR workflows).\nExperience deploying and operating AI systems in security- and IP-sensitive environments.\nContributions to open-source AI tooling, agent frameworks, or developer tools.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
The latest advances in AI tooling is fundamentally changing all teams' ways of working - from ML model development, to traditional software development, to non-technical business functions. We are building a dedicated AI Technical Strike Team to establish centralized best practices for working with AI across Waabi with the aim of maximizing productivity. We are looking for hands-on senior software engineers to build the AI tooling, agents, and workflows that accelerate how we work. As a Software Engineer on the AI Tech Strike Team, you will design, build, and ship the tools that compound the productivity of every team at Waabi. The team will own a mix of core tooling work and deployed engagements, where members of the team work closely with functions across Waabi to understand their pain points and co-design AI workflows to maximize productivity.
\nYou will...
\n\n- \n
Design, build, and ship custom internal tooling, agents, and workflows tailored to Waabi — supporting our autonomy codebase, simulation environments, ML training pipelines, and research workflows, as well as agents and automations for business teams.
\n \n- \n
Integrate and extend third-party AI tools — from coding assistants and agents (e.g., Claude Code, Cursor, GitHub Copilot) to AI tools for non-engineering functions — building the integrations, configurations, and internal extensions that make them work well for Waabi.
\n \n- \n
Evaluate new AI tools, models, and agent frameworks as they emerge, run structured pilots, and provide clear technical recommendations that inform build-vs-buy decisions.
\n \n- \n
Partner directly with engineers, researchers, and business teams to understand their workflows, prototype solutions quickly, and iterate based on real usage.
\n \n- \n
Build observability around AI tooling at Waabi — tracking usage, adoption, cost, and quality — so we can prioritize with data and understand impact.
\n \n- \n
Implement the guardrails for responsible AI tooling at Waabi in partnership with Security, Legal, IT, and Infrastructure.
\n \n- \n
Drive adoption of the tools you build through documentation, enablement, office hours, and hands-on support — helping every team get more out of their tools every week.
\n \n
\nQualifications:
\n\n- \n
5+ years of software engineering experience, with a track record of shipping tools, platforms, or products used by large internal or external user bases.
\n \n- \n
Deep, hands-on familiarity with the current generation of AI coding tools and agents (Claude Code, Cursor, Copilot, Codex, or similar), and demonstrated experience building and shipping AI-powered products, agents, or workflows — including prompt engineering, evals, tool use, and integrating LLMs into production systems.
\n \n- \n
Strong proficiency in Python (or another common programming language), and comfort working across modern build systems, CI/CD pipelines, and developer infrastructure.
\n \n- \n
Strong product instincts and judgment: you can identify high-leverage problems across a diverse set of teams, scope pragmatic solutions, and ship things that actually get adopted.
\n \n- \n
Strong written and verbal communication skills, comfortable operating with a high degree of autonomy in ambiguous, fast-moving territory and influencing engineers, researchers, and business partners.
\n \n- \n
Passionate about self-driving technologies, frontier AI, and using AI to push the boundary of what a small, world-class team can accomplish.
\n \n
\nBonus/nice to have:
\n\n- \n
Prior experience in a developer productivity, platform engineering, or AI tooling role, ideally with exposure to ML, robotics, or autonomous systems infrastructure (e.g., training pipelines, simulation tooling, large monorepos).
\n \n- \n
Experience working effectively with non-engineering stakeholders — translating business workflows into technical solutions for functions like Finance, Commercial, Marketing, HR, Legal, and Operations.
\n \n- \n
Experience building AI workflows or automation for business functions outside of engineering (e.g., finance automation, marketing operations, HR workflows).
\n \n- \n
Experience deploying and operating AI systems in security- and IP-sensitive environments.
\n \n- \n
Contributions to open-source AI tooling, agent frameworks, or developer tools.
\n \n
","id":"2af36079-94fb-423d-a2b6-10b3a1ad5aa3","lists":[],"text":"Senior / Staff Software Engineer, AI Tooling","country":"CA","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"The latest advances in AI tooling is fundamentally changing all teams' ways of working - from ML model development, to traditional software development, to non-technical business functions. We are building a dedicated AI Technical Strike Team to establish centralized best practices for working with AI across Waabi with the aim of maximizing productivity. We are looking for hands-on senior software engineers to build the AI tooling, agents, and workflows that accelerate how we work. As a Software Engineer on the AI Tech Strike Team, you will design, build, and ship the tools that compound the productivity of every team at Waabi. The team will own a mix of core tooling work and deployed engagements, where members of the team work closely with functions across Waabi to understand their pain points and co-design AI workflows to maximize productivity.
\nYou will...
\n\n- \n
Design, build, and ship custom internal tooling, agents, and workflows tailored to Waabi — supporting our autonomy codebase, simulation environments, ML training pipelines, and research workflows, as well as agents and automations for business teams.
\n \n- \n
Integrate and extend third-party AI tools — from coding assistants and agents (e.g., Claude Code, Cursor, GitHub Copilot) to AI tools for non-engineering functions — building the integrations, configurations, and internal extensions that make them work well for Waabi.
\n \n- \n
Evaluate new AI tools, models, and agent frameworks as they emerge, run structured pilots, and provide clear technical recommendations that inform build-vs-buy decisions.
\n \n- \n
Partner directly with engineers, researchers, and business teams to understand their workflows, prototype solutions quickly, and iterate based on real usage.
\n \n- \n
Build observability around AI tooling at Waabi — tracking usage, adoption, cost, and quality — so we can prioritize with data and understand impact.
\n \n- \n
Implement the guardrails for responsible AI tooling at Waabi in partnership with Security, Legal, IT, and Infrastructure.
\n \n- \n
Drive adoption of the tools you build through documentation, enablement, office hours, and hands-on support — helping every team get more out of their tools every week.
\n \n
\nQualifications:
\n\n- \n
5+ years of software engineering experience, with a track record of shipping tools, platforms, or products used by large internal or external user bases.
\n \n- \n
Deep, hands-on familiarity with the current generation of AI coding tools and agents (Claude Code, Cursor, Copilot, Codex, or similar), and demonstrated experience building and shipping AI-powered products, agents, or workflows — including prompt engineering, evals, tool use, and integrating LLMs into production systems.
\n \n- \n
Strong proficiency in Python (or another common programming language), and comfort working across modern build systems, CI/CD pipelines, and developer infrastructure.
\n \n- \n
Strong product instincts and judgment: you can identify high-leverage problems across a diverse set of teams, scope pragmatic solutions, and ship things that actually get adopted.
\n \n- \n
Strong written and verbal communication skills, comfortable operating with a high degree of autonomy in ambiguous, fast-moving territory and influencing engineers, researchers, and business partners.
\n \n- \n
Passionate about self-driving technologies, frontier AI, and using AI to push the boundary of what a small, world-class team can accomplish.
\n \n
\nBonus/nice to have:
\n\n- \n
Prior experience in a developer productivity, platform engineering, or AI tooling role, ideally with exposure to ML, robotics, or autonomous systems infrastructure (e.g., training pipelines, simulation tooling, large monorepos).
\n \n- \n
Experience working effectively with non-engineering stakeholders — translating business workflows into technical solutions for functions like Finance, Commercial, Marketing, HR, Legal, and Operations.
\n \n- \n
Experience building AI workflows or automation for business functions outside of engineering (e.g., finance automation, marketing operations, HR workflows).
\n \n- \n
Experience deploying and operating AI systems in security- and IP-sensitive environments.
\n \n- \n
Contributions to open-source AI tooling, agent frameworks, or developer tools.
\n \n
","descriptionBodyPlain":"The latest advances in AI tooling is fundamentally changing all teams' ways of working - from ML model development, to traditional software development, to non-technical business functions. We are building a dedicated AI Technical Strike Team to establish centralized best practices for working with AI across Waabi with the aim of maximizing productivity. We are looking for hands-on senior software engineers to build the AI tooling, agents, and workflows that accelerate how we work. As a Software Engineer on the AI Tech Strike Team, you will design, build, and ship the tools that compound the productivity of every team at Waabi. The team will own a mix of core tooling work and deployed engagements, where members of the team work closely with functions across Waabi to understand their pain points and co-design AI workflows to maximize productivity.\nYou will...\nDesign, build, and ship custom internal tooling, agents, and workflows tailored to Waabi — supporting our autonomy codebase, simulation environments, ML training pipelines, and research workflows, as well as agents and automations for business teams.\nIntegrate and extend third-party AI tools — from coding assistants and agents (e.g., Claude Code, Cursor, GitHub Copilot) to AI tools for non-engineering functions — building the integrations, configurations, and internal extensions that make them work well for Waabi.\nEvaluate new AI tools, models, and agent frameworks as they emerge, run structured pilots, and provide clear technical recommendations that inform build-vs-buy decisions.\nPartner directly with engineers, researchers, and business teams to understand their workflows, prototype solutions quickly, and iterate based on real usage.\nBuild observability around AI tooling at Waabi — tracking usage, adoption, cost, and quality — so we can prioritize with data and understand impact.\nImplement the guardrails for responsible AI tooling at Waabi in partnership with Security, Legal, IT, and Infrastructure.\nDrive adoption of the tools you build through documentation, enablement, office hours, and hands-on support — helping every team get more out of their tools every week.\nQualifications:\n5+ years of software engineering experience, with a track record of shipping tools, platforms, or products used by large internal or external user bases.\nDeep, hands-on familiarity with the current generation of AI coding tools and agents (Claude Code, Cursor, Copilot, Codex, or similar), and demonstrated experience building and shipping AI-powered products, agents, or workflows — including prompt engineering, evals, tool use, and integrating LLMs into production systems.\nStrong proficiency in Python (or another common programming language), and comfort working across modern build systems, CI/CD pipelines, and developer infrastructure.\nStrong product instincts and judgment: you can identify high-leverage problems across a diverse set of teams, scope pragmatic solutions, and ship things that actually get adopted.\nStrong written and verbal communication skills, comfortable operating with a high degree of autonomy in ambiguous, fast-moving territory and influencing engineers, researchers, and business partners.\nPassionate about self-driving technologies, frontier AI, and using AI to push the boundary of what a small, world-class team can accomplish.\nBonus/nice to have:\nPrior experience in a developer productivity, platform engineering, or AI tooling role, ideally with exposure to ML, robotics, or autonomous systems infrastructure (e.g., training pipelines, simulation tooling, large monorepos).\nExperience working effectively with non-engineering stakeholders — translating business workflows into technical solutions for functions like Finance, Commercial, Marketing, HR, Legal, and Operations.\nExperience building AI workflows or automation for business functions outside of engineering (e.g., finance automation, marketing operations, HR workflows).\nExperience deploying and operating AI systems in security- and IP-sensitive environments.\nContributions to open-source AI tooling, agent frameworks, or developer tools.\n","hostedUrl":"https://jobs.lever.co/waabi/2af36079-94fb-423d-a2b6-10b3a1ad5aa3","applyUrl":"https://jobs.lever.co/waabi/2af36079-94fb-423d-a2b6-10b3a1ad5aa3/apply"},{"additionalPlain":"The US yearly salary range for this role is: $148,000 - $260,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"The US yearly salary range for this role is: $148,000 - $260,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Toronto, ON","team":"Software Engineering","allLocations":["Toronto, ON","San Francisco, CA","Pittsburgh, PA","Remote US & Canada"]},"createdAt":1777086992567,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nAs a Software Engineer in High-Performance Onboard Algorithms, you will be a key contributor to the development and optimization of our real-time signal processing pipeline for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and others) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation.\nYou will…\n- Be part of a multidisciplinary team of Engineers and Scientists working on building a best-in-class, high-performance sensor processing stack.\n- Design, implement, and optimize highly efficient algorithms for sensor data acquisition, processing, fusion, and filtering, ensuring real-time performance on target hardware.\n- Work on shipping next-generation signal processing software, leveraging parallel computing architectures (e.g., CPU, GPU, specialized accelerators) and low-level system programming.\n- Collaborate with Waabi’s autonomy and hardware teams to ensure the efficiency and robustness of the entire system.\nQualifications:\n- Fundamentals of computer architecture. You have a deep understanding of how modern computer systems work (multi-core, vector units, cache management, memory hierarchy, networking).\n- Data-parallel algorithms. You have experience implementing data-parallel and compute-intensive algorithms in domains such as image/video processing, compression, and optimizing modern neural networks.\n- Heterogeneous computing and systems programming. You are comfortable with balancing workloads across multiple different processors, managing the ownership and movement of data buffers, and optimizing for overall system performance.\n- Performance profiling and optimization. You know how to identify bottlenecks in a complex codebase and make optimization decisions that have lasting impact.\n- Shipping Production Software. You have experience in reading and developing production quality software. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust and a variety of DSLs).\nBonus:\n- Experience with accelerated computing like CUDA, Vulkan, and OpenCL.\n- Experience with domain specific languages such as Halide, Taichi, Mojo, or Warp.\n- Experience with CPU intrinsics (SSE/AVX, NEON/SVE).\n- Experience with embedded systems.\n- Shipped production software in one or more of the following areas: image and video processing, compression, streaming algorithms, deep learning, geometry processing.\n- Publications in top-tier conferences or journals related to high-performance computing, image processing, computer graphics, computer vision, machine learning, or self-driving technology.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
As a Software Engineer in High-Performance Onboard Algorithms, you will be a key contributor to the development and optimization of our real-time signal processing pipeline for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and others) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation.
\n
You will…
\n
- Be part of a multidisciplinary team of Engineers and Scientists working on building a best-in-class, high-performance sensor processing stack.
\n
- Design, implement, and optimize highly efficient algorithms for sensor data acquisition, processing, fusion, and filtering, ensuring real-time performance on target hardware.
\n
- Work on shipping next-generation signal processing software, leveraging parallel computing architectures (e.g., CPU, GPU, specialized accelerators) and low-level system programming.
\n
- Collaborate with Waabi’s autonomy and hardware teams to ensure the efficiency and robustness of the entire system.
\n
Qualifications:
\n
- Fundamentals of computer architecture. You have a deep understanding of how modern computer systems work (multi-core, vector units, cache management, memory hierarchy, networking).
\n
- Data-parallel algorithms. You have experience implementing data-parallel and compute-intensive algorithms in domains such as image/video processing, compression, and optimizing modern neural networks.
\n
- Heterogeneous computing and systems programming. You are comfortable with balancing workloads across multiple different processors, managing the ownership and movement of data buffers, and optimizing for overall system performance.
\n
- Performance profiling and optimization. You know how to identify bottlenecks in a complex codebase and make optimization decisions that have lasting impact.
\n
- Shipping Production Software. You have experience in reading and developing production quality software. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust and a variety of DSLs).
\n
Bonus:
\n
- Experience with accelerated computing like CUDA, Vulkan, and OpenCL.
\n
- Experience with domain specific languages such as Halide, Taichi, Mojo, or Warp.
\n
- Experience with CPU intrinsics (SSE/AVX, NEON/SVE).
\n
- Experience with embedded systems.
\n
- Shipped production software in one or more of the following areas: image and video processing, compression, streaming algorithms, deep learning, geometry processing.
\n
- Publications in top-tier conferences or journals related to high-performance computing, image processing, computer graphics, computer vision, machine learning, or self-driving technology.
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
As a Software Engineer in High-Performance Onboard Algorithms, you will be a key contributor to the development and optimization of our real-time signal processing pipeline for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and others) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation.
\n
You will…
\n
- Be part of a multidisciplinary team of Engineers and Scientists working on building a best-in-class, high-performance sensor processing stack.
\n
- Design, implement, and optimize highly efficient algorithms for sensor data acquisition, processing, fusion, and filtering, ensuring real-time performance on target hardware.
\n
- Work on shipping next-generation signal processing software, leveraging parallel computing architectures (e.g., CPU, GPU, specialized accelerators) and low-level system programming.
\n
- Collaborate with Waabi’s autonomy and hardware teams to ensure the efficiency and robustness of the entire system.
\n
Qualifications:
\n
- Fundamentals of computer architecture. You have a deep understanding of how modern computer systems work (multi-core, vector units, cache management, memory hierarchy, networking).
\n
- Data-parallel algorithms. You have experience implementing data-parallel and compute-intensive algorithms in domains such as image/video processing, compression, and optimizing modern neural networks.
\n
- Heterogeneous computing and systems programming. You are comfortable with balancing workloads across multiple different processors, managing the ownership and movement of data buffers, and optimizing for overall system performance.
\n
- Performance profiling and optimization. You know how to identify bottlenecks in a complex codebase and make optimization decisions that have lasting impact.
\n
- Shipping Production Software. You have experience in reading and developing production quality software. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust and a variety of DSLs).
\n
Bonus:
\n
- Experience with accelerated computing like CUDA, Vulkan, and OpenCL.
\n
- Experience with domain specific languages such as Halide, Taichi, Mojo, or Warp.
\n
- Experience with CPU intrinsics (SSE/AVX, NEON/SVE).
\n
- Experience with embedded systems.
\n
- Shipped production software in one or more of the following areas: image and video processing, compression, streaming algorithms, deep learning, geometry processing.
\n
- Publications in top-tier conferences or journals related to high-performance computing, image processing, computer graphics, computer vision, machine learning, or self-driving technology.
\n
The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"San Francisco, CA","team":"Autonomy & Algorithms","allLocations":["San Francisco, CA","Pittsburgh, PA","Remote Canada","Remote US","Toronto, ON"]},"createdAt":1775270355342,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nThe Localization team at Waabi is responsible for answering one of the most critical questions in autonomous driving: exactly where is the vehicle right now? As a Senior or Staff Software Engineer on the Localization team, you will be a domain expert architecting the highly precise, robust state estimation systems that keep our robotaxis and 80,000lb trucks safely on the road. You will design algorithms that seamlessly fuse data across a complex sensor suite to provide real-time, centimeter-accurate pose estimation, even in degraded or GPS-denied environments. You will collaborate with world-renowned engineers and scientists to merge traditional robotics state estimation with Waabi's AI-first approach. \n \nYou will...\n- Act as a deep domain expert in state estimation, pushing the boundaries of what is possible in real-time vehicle localization.\n- Design, implement, and optimize robust algorithms for multi-sensor fusion leveraging IMU, LiDAR, Radar, Camera, GNSS, wheel encoders, etc.\n- Architect and develop mathematical models to be used in factor graph optimization, Kalman filters, etc.\n- Develop highly optimized, low-latency Rust code that runs directly on the vehicle's various compute devices in real-time.\n- Partner with the Perception and Mapping teams to tightly couple map data and semantic landmarks into the localization pipeline.\n- Build rigorous evaluation frameworks to measure localization accuracy, integrity, fault tolerance across millions of miles in Waabi World (our simulation platform) and on physical test tracks.\n \nQualifications:\n- BS, MS, or PhD in Robotics, Computer Science, Aerospace/Electrical Engineering, or related field, with a minimum for 5 years of industry experience.\n- Deep, rigorous domain expertise in probabilistic robotics, state estimation, and 3D geometry (Gaussian estimation, filtering, smoothing, and mapping). \n- Proven experience building and optimizing online and/or offline Simultaneous Localization and Mapping (SLAM) systems, including deep knowledge of point-cloud registration algorithms (e.g. ICP).\n- Extensive hands-on experience processing and fusing data from physical sensors (IMU, LiDAR, Radar, GNSS, etc.).\n- Exceptional systems-level programming skills in modern C++ and/or Rust, with a strong understanding of memory management, concurrency, and real-time computing constraints.\n- Proficiency in python for data analysis, prototyping, and tooling.\n- Strong mathematical foundation in linear algebra, calculus, and probability theory.\n- A proven track record of deploying complex state estimation algorithms onto physical robots or autonomous vehicles operating in the real world. \n \nBonus/nice to have:\n- Familiarity with industry-standard optimization libraries (e.g., GTSAM, Ceres Solver, g2o).\n- Experience with \"learned localization\" - applying deep learning and AI/ML models to improve traditional state estimation and feature matching.\n- Experience with high-speed highway autonomous driving constraints.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
The Localization team at Waabi is responsible for answering one of the most critical questions in autonomous driving: exactly where is the vehicle right now? As a Senior or Staff Software Engineer on the Localization team, you will be a domain expert architecting the highly precise, robust state estimation systems that keep our robotaxis and 80,000lb trucks safely on the road. You will design algorithms that seamlessly fuse data across a complex sensor suite to provide real-time, centimeter-accurate pose estimation, even in degraded or GPS-denied environments. You will collaborate with world-renowned engineers and scientists to merge traditional robotics state estimation with Waabi's AI-first approach.
\n
\nYou will...
\n- Act as a deep domain expert in state estimation, pushing the boundaries of what is possible in real-time vehicle localization.
\n- Design, implement, and optimize robust algorithms for multi-sensor fusion leveraging IMU, LiDAR, Radar, Camera, GNSS, wheel encoders, etc.
\n- Architect and develop mathematical models to be used in factor graph optimization, Kalman filters, etc.
\n- Develop highly optimized, low-latency Rust code that runs directly on the vehicle's various compute devices in real-time.
\n- Partner with the Perception and Mapping teams to tightly couple map data and semantic landmarks into the localization pipeline.
\n- Build rigorous evaluation frameworks to measure localization accuracy, integrity, fault tolerance across millions of miles in Waabi World (our simulation platform) and on physical test tracks.
\n
\nQualifications:
\n- BS, MS, or PhD in Robotics, Computer Science, Aerospace/Electrical Engineering, or related field, with a minimum for 5 years of industry experience.
\n- Deep, rigorous domain expertise in probabilistic robotics, state estimation, and 3D geometry (Gaussian estimation, filtering, smoothing, and mapping).
\n- Proven experience building and optimizing online and/or offline Simultaneous Localization and Mapping (SLAM) systems, including deep knowledge of point-cloud registration algorithms (e.g. ICP).
\n- Extensive hands-on experience processing and fusing data from physical sensors (IMU, LiDAR, Radar, GNSS, etc.).
\n- Exceptional systems-level programming skills in modern C++ and/or Rust, with a strong understanding of memory management, concurrency, and real-time computing constraints.
\n- Proficiency in python for data analysis, prototyping, and tooling.
\n- Strong mathematical foundation in linear algebra, calculus, and probability theory.
\n- A proven track record of deploying complex state estimation algorithms onto physical robots or autonomous vehicles operating in the real world.
\n
\nBonus/nice to have:
\n- Familiarity with industry-standard optimization libraries (e.g., GTSAM, Ceres Solver, g2o).
\n- Experience with \"learned localization\" - applying deep learning and AI/ML models to improve traditional state estimation and feature matching.
\n- Experience with high-speed highway autonomous driving constraints.
","id":"ca67aa9c-d647-41d5-a45b-38d94304344a","lists":[],"text":"Senior / Staff Software Engineer, Localization","country":"US","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"The Localization team at Waabi is responsible for answering one of the most critical questions in autonomous driving: exactly where is the vehicle right now? As a Senior or Staff Software Engineer on the Localization team, you will be a domain expert architecting the highly precise, robust state estimation systems that keep our robotaxis and 80,000lb trucks safely on the road. You will design algorithms that seamlessly fuse data across a complex sensor suite to provide real-time, centimeter-accurate pose estimation, even in degraded or GPS-denied environments. You will collaborate with world-renowned engineers and scientists to merge traditional robotics state estimation with Waabi's AI-first approach.
\n
\nYou will...
\n- Act as a deep domain expert in state estimation, pushing the boundaries of what is possible in real-time vehicle localization.
\n- Design, implement, and optimize robust algorithms for multi-sensor fusion leveraging IMU, LiDAR, Radar, Camera, GNSS, wheel encoders, etc.
\n- Architect and develop mathematical models to be used in factor graph optimization, Kalman filters, etc.
\n- Develop highly optimized, low-latency Rust code that runs directly on the vehicle's various compute devices in real-time.
\n- Partner with the Perception and Mapping teams to tightly couple map data and semantic landmarks into the localization pipeline.
\n- Build rigorous evaluation frameworks to measure localization accuracy, integrity, fault tolerance across millions of miles in Waabi World (our simulation platform) and on physical test tracks.
\n
\nQualifications:
\n- BS, MS, or PhD in Robotics, Computer Science, Aerospace/Electrical Engineering, or related field, with a minimum for 5 years of industry experience.
\n- Deep, rigorous domain expertise in probabilistic robotics, state estimation, and 3D geometry (Gaussian estimation, filtering, smoothing, and mapping).
\n- Proven experience building and optimizing online and/or offline Simultaneous Localization and Mapping (SLAM) systems, including deep knowledge of point-cloud registration algorithms (e.g. ICP).
\n- Extensive hands-on experience processing and fusing data from physical sensors (IMU, LiDAR, Radar, GNSS, etc.).
\n- Exceptional systems-level programming skills in modern C++ and/or Rust, with a strong understanding of memory management, concurrency, and real-time computing constraints.
\n- Proficiency in python for data analysis, prototyping, and tooling.
\n- Strong mathematical foundation in linear algebra, calculus, and probability theory.
\n- A proven track record of deploying complex state estimation algorithms onto physical robots or autonomous vehicles operating in the real world.
\n
\nBonus/nice to have:
\n- Familiarity with industry-standard optimization libraries (e.g., GTSAM, Ceres Solver, g2o).
\n- Experience with \"learned localization\" - applying deep learning and AI/ML models to improve traditional state estimation and feature matching.
\n- Experience with high-speed highway autonomous driving constraints.
","descriptionBodyPlain":"The Localization team at Waabi is responsible for answering one of the most critical questions in autonomous driving: exactly where is the vehicle right now? As a Senior or Staff Software Engineer on the Localization team, you will be a domain expert architecting the highly precise, robust state estimation systems that keep our robotaxis and 80,000lb trucks safely on the road. You will design algorithms that seamlessly fuse data across a complex sensor suite to provide real-time, centimeter-accurate pose estimation, even in degraded or GPS-denied environments. You will collaborate with world-renowned engineers and scientists to merge traditional robotics state estimation with Waabi's AI-first approach. \n \nYou will...\n- Act as a deep domain expert in state estimation, pushing the boundaries of what is possible in real-time vehicle localization.\n- Design, implement, and optimize robust algorithms for multi-sensor fusion leveraging IMU, LiDAR, Radar, Camera, GNSS, wheel encoders, etc.\n- Architect and develop mathematical models to be used in factor graph optimization, Kalman filters, etc.\n- Develop highly optimized, low-latency Rust code that runs directly on the vehicle's various compute devices in real-time.\n- Partner with the Perception and Mapping teams to tightly couple map data and semantic landmarks into the localization pipeline.\n- Build rigorous evaluation frameworks to measure localization accuracy, integrity, fault tolerance across millions of miles in Waabi World (our simulation platform) and on physical test tracks.\n \nQualifications:\n- BS, MS, or PhD in Robotics, Computer Science, Aerospace/Electrical Engineering, or related field, with a minimum for 5 years of industry experience.\n- Deep, rigorous domain expertise in probabilistic robotics, state estimation, and 3D geometry (Gaussian estimation, filtering, smoothing, and mapping). \n- Proven experience building and optimizing online and/or offline Simultaneous Localization and Mapping (SLAM) systems, including deep knowledge of point-cloud registration algorithms (e.g. ICP).\n- Extensive hands-on experience processing and fusing data from physical sensors (IMU, LiDAR, Radar, GNSS, etc.).\n- Exceptional systems-level programming skills in modern C++ and/or Rust, with a strong understanding of memory management, concurrency, and real-time computing constraints.\n- Proficiency in python for data analysis, prototyping, and tooling.\n- Strong mathematical foundation in linear algebra, calculus, and probability theory.\n- A proven track record of deploying complex state estimation algorithms onto physical robots or autonomous vehicles operating in the real world. \n \nBonus/nice to have:\n- Familiarity with industry-standard optimization libraries (e.g., GTSAM, Ceres Solver, g2o).\n- Experience with \"learned localization\" - applying deep learning and AI/ML models to improve traditional state estimation and feature matching.\n- Experience with high-speed highway autonomous driving constraints.\n","hostedUrl":"https://jobs.lever.co/waabi/ca67aa9c-d647-41d5-a45b-38d94304344a","applyUrl":"https://jobs.lever.co/waabi/ca67aa9c-d647-41d5-a45b-38d94304344a/apply"},{"additionalPlain":"The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"San Francisco, CA","team":"Autonomy & Algorithms","allLocations":["San Francisco, CA","Pittsburgh, PA","Remote Canada","Remote US","Toronto, ON"]},"createdAt":1775269549226,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nThe Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving. \n \nYou will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation.\n \nYou will...\n- Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving.\n- Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale.\n- Architect and build the engineering foundations of our long-term mapping infrastructure.\n- Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data.\n- Design and develop comprehensive metrics, observability, and anomaly detection across various systems.\n- Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs.\n- Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles. \n \nQualifications:\n- BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience.\n- Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures.\n- Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust.\n- Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept).\n- Hands-on experience building distributed systems on modern cloud platforms.\n \nBonus/nice to have:\n- A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates. \n- Prior experience with autonomous vehicles, HD mapping, or robotics.\n- Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS.\n- Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems.\n- Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka).\n- Open-minded and collaborative team player with strong willingness to help others.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving.
\n
\n
You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation.
\n
\n
You will...
\n
- Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving.
\n
- Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale.
\n
- Architect and build the engineering foundations of our long-term mapping infrastructure.
\n
- Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data.
\n
- Design and develop comprehensive metrics, observability, and anomaly detection across various systems.
\n
- Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs.
\n
- Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles.
\n
\n
Qualifications:
\n
- BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience.
\n
- Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures.
\n
- Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust.
\n
- Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept).
\n
- Hands-on experience building distributed systems on modern cloud platforms.
\n
\n
Bonus/nice to have:
\n
- A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates.
\n
- Prior experience with autonomous vehicles, HD mapping, or robotics.
\n
- Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS.
\n
- Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems.
\n
- Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka).
\n
- Open-minded and collaborative team player with strong willingness to help others.
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving.
\n
\n
You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation.
\n
\n
You will...
\n
- Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving.
\n
- Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale.
\n
- Architect and build the engineering foundations of our long-term mapping infrastructure.
\n
- Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data.
\n
- Design and develop comprehensive metrics, observability, and anomaly detection across various systems.
\n
- Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs.
\n
- Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles.
\n
\n
Qualifications:
\n
- BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience.
\n
- Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures.
\n
- Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust.
\n
- Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept).
\n
- Hands-on experience building distributed systems on modern cloud platforms.
\n
\n
Bonus/nice to have:
\n
- A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates.
\n
- Prior experience with autonomous vehicles, HD mapping, or robotics.
\n
- Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS.
\n
- Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems.
\n
- Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka).
\n
- Open-minded and collaborative team player with strong willingness to help others.
\n
\n
The US yearly salary range for this role is: $148,000 - $260,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
\n
\n
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Toronto, ON","team":"Autonomy & Algorithms","allLocations":["Toronto, ON","San Francisco, CA","Remote US & Canada"]},"createdAt":1774542932938,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nAs a Senior/Staff Software Engineer embedded within our Autonomy & Algorithms team, you will build the scalable ML data pipelines necessary to train and evaluate Waabi’s autonomous driving platform. Working closely with world-renowned scientists and engineers, you will solve complex data challenges to accelerate our launch of fully driverless vehicles.\n \nYou Will..\n- Design and implement data pipelines using real-world driving data and Waabi World (our high-fidelity simulator) to train and evaluate deep learning models.\n- Optimize data formats, caching, and dataloading to drive highly efficient ML training and evaluation at scale.\n- Improve data sampling and composition for deep data introspection to track model performance and uncover critical edge-case scenarios.\n- Champion engineering excellence by writing high-quality, well-structured, and rigorously tested code.\n- Help drive project roadmap planning, prioritization, and delivery.\nQualifications:\n- BS or MS in Computer Science, Machine Learning, or a related technical field, with 4+ years of industry experience.\n- Proficiency in Python and strong software engineering fundamentals, including experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.\n- Hands-on experience building distributed ETL and data processing pipelines.\n- Direct experience managing ML pipelines, including dataset management, dataloading, and optimization.\n- Strong understanding of cloud job orchestration, monitoring, and instrumentation best practices.\n- A collaborative, open-minded approach with a passion for tackling hard problems in autonomous technology and a strong willingness to mentor others.\n \nBonus Points:\n- Experience with optimizing large scale distributed training pipelines and/or highly optimized ML inference pipelines. \n- Experience with MapReduce (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow, Apache Beam, Google Cloud Dataflow, AWS Step Functions).\n- Experience solving data challenges specific to autonomous driving.\n- Familiarity with linear algebra (projections, transforms) and 3D geometry.\n- Experience working with multimodal sensor data (e.g., LiDAR, RADAR, camera).\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
As a Senior/Staff Software Engineer embedded within our Autonomy & Algorithms team, you will build the scalable ML data pipelines necessary to train and evaluate Waabi’s autonomous driving platform. Working closely with world-renowned scientists and engineers, you will solve complex data challenges to accelerate our launch of fully driverless vehicles.
\n
\nYou Will..
\n- Design and implement data pipelines using real-world driving data and Waabi World (our high-fidelity simulator) to train and evaluate deep learning models.
\n- Optimize data formats, caching, and dataloading to drive highly efficient ML training and evaluation at scale.
\n- Improve data sampling and composition for deep data introspection to track model performance and uncover critical edge-case scenarios.
\n- Champion engineering excellence by writing high-quality, well-structured, and rigorously tested code.
\n- Help drive project roadmap planning, prioritization, and delivery.
\nQualifications:
\n- BS or MS in Computer Science, Machine Learning, or a related technical field, with 4+ years of industry experience.
\n- Proficiency in Python and strong software engineering fundamentals, including experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
\n- Hands-on experience building distributed ETL and data processing pipelines.
\n- Direct experience managing ML pipelines, including dataset management, dataloading, and optimization.
\n- Strong understanding of cloud job orchestration, monitoring, and instrumentation best practices.
\n- A collaborative, open-minded approach with a passion for tackling hard problems in autonomous technology and a strong willingness to mentor others.
\n
\nBonus Points:
\n- Experience with optimizing large scale distributed training pipelines and/or highly optimized ML inference pipelines.
\n- Experience with MapReduce (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow, Apache Beam, Google Cloud Dataflow, AWS Step Functions).
\n- Experience solving data challenges specific to autonomous driving.
\n- Familiarity with linear algebra (projections, transforms) and 3D geometry.
\n- Experience working with multimodal sensor data (e.g., LiDAR, RADAR, camera).
","id":"81ed817e-cb56-45f8-aac6-e645610798da","lists":[],"text":"Senior / Staff Software Engineer, ML Datasets & Data Pipelines","country":"CA","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"As a Senior/Staff Software Engineer embedded within our Autonomy & Algorithms team, you will build the scalable ML data pipelines necessary to train and evaluate Waabi’s autonomous driving platform. Working closely with world-renowned scientists and engineers, you will solve complex data challenges to accelerate our launch of fully driverless vehicles.
\n
\nYou Will..
\n- Design and implement data pipelines using real-world driving data and Waabi World (our high-fidelity simulator) to train and evaluate deep learning models.
\n- Optimize data formats, caching, and dataloading to drive highly efficient ML training and evaluation at scale.
\n- Improve data sampling and composition for deep data introspection to track model performance and uncover critical edge-case scenarios.
\n- Champion engineering excellence by writing high-quality, well-structured, and rigorously tested code.
\n- Help drive project roadmap planning, prioritization, and delivery.
\nQualifications:
\n- BS or MS in Computer Science, Machine Learning, or a related technical field, with 4+ years of industry experience.
\n- Proficiency in Python and strong software engineering fundamentals, including experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
\n- Hands-on experience building distributed ETL and data processing pipelines.
\n- Direct experience managing ML pipelines, including dataset management, dataloading, and optimization.
\n- Strong understanding of cloud job orchestration, monitoring, and instrumentation best practices.
\n- A collaborative, open-minded approach with a passion for tackling hard problems in autonomous technology and a strong willingness to mentor others.
\n
\nBonus Points:
\n- Experience with optimizing large scale distributed training pipelines and/or highly optimized ML inference pipelines.
\n- Experience with MapReduce (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow, Apache Beam, Google Cloud Dataflow, AWS Step Functions).
\n- Experience solving data challenges specific to autonomous driving.
\n- Familiarity with linear algebra (projections, transforms) and 3D geometry.
\n- Experience working with multimodal sensor data (e.g., LiDAR, RADAR, camera).
","descriptionBodyPlain":"As a Senior/Staff Software Engineer embedded within our Autonomy & Algorithms team, you will build the scalable ML data pipelines necessary to train and evaluate Waabi’s autonomous driving platform. Working closely with world-renowned scientists and engineers, you will solve complex data challenges to accelerate our launch of fully driverless vehicles.\n \nYou Will..\n- Design and implement data pipelines using real-world driving data and Waabi World (our high-fidelity simulator) to train and evaluate deep learning models.\n- Optimize data formats, caching, and dataloading to drive highly efficient ML training and evaluation at scale.\n- Improve data sampling and composition for deep data introspection to track model performance and uncover critical edge-case scenarios.\n- Champion engineering excellence by writing high-quality, well-structured, and rigorously tested code.\n- Help drive project roadmap planning, prioritization, and delivery.\nQualifications:\n- BS or MS in Computer Science, Machine Learning, or a related technical field, with 4+ years of industry experience.\n- Proficiency in Python and strong software engineering fundamentals, including experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.\n- Hands-on experience building distributed ETL and data processing pipelines.\n- Direct experience managing ML pipelines, including dataset management, dataloading, and optimization.\n- Strong understanding of cloud job orchestration, monitoring, and instrumentation best practices.\n- A collaborative, open-minded approach with a passion for tackling hard problems in autonomous technology and a strong willingness to mentor others.\n \nBonus Points:\n- Experience with optimizing large scale distributed training pipelines and/or highly optimized ML inference pipelines. \n- Experience with MapReduce (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow, Apache Beam, Google Cloud Dataflow, AWS Step Functions).\n- Experience solving data challenges specific to autonomous driving.\n- Familiarity with linear algebra (projections, transforms) and 3D geometry.\n- Experience working with multimodal sensor data (e.g., LiDAR, RADAR, camera).\n","hostedUrl":"https://jobs.lever.co/waabi/81ed817e-cb56-45f8-aac6-e645610798da","applyUrl":"https://jobs.lever.co/waabi/81ed817e-cb56-45f8-aac6-e645610798da/apply"},{"additionalPlain":"The US yearly salary range for this role is: $241,000 - $320,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n","additional":"The US yearly salary range for this role is: $241,000 - $320,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
","categories":{"commitment":"Full-time","department":"Software","location":"Remote US & Canada","team":"Autonomy & Algorithms","allLocations":["Remote US & Canada","Toronto, ON","San Francisco, CA","Pittsburgh, PA","Phoenix, AZ","Dallas, TX"]},"createdAt":1788454439042,"descriptionPlain":"You Will…\nDesign and develop data-driven and machine-learned approaches to vehicle control problems, bringing modern ML to a domain traditionally solved with classical methods.\nDevelop learned models of vehicle behavior and dynamics, and integrate them into the closed-loop simulation.\nApply machine learning to improve how the controller adapts across vehicles and operating conditions.\nBe part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.\nOwn problems end to end, from conceptualization and offline experimentation through simulation and on-vehicle validation.\nBuild the data pipelines, evaluation metrics, and tooling needed to measure whether a learned approach outperforms the classical baseline.\nParticipate and share ideas in technical and architecture discussions, helping define how learning and classical control coexist in a safety-critical stack.\nQualifications:\nMS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Robotics, Controls, Mechanical/Electrical Engineering, Computer Science and/or similar technical field(s) of study.\nDemonstrated depth in control theory and dynamic systems (e.g., MPC, optimal control, state estimation, system identification, kinematic and dynamic vehicle modeling).\nHands-on experience applying machine learning to a physical system, with real hardware in the loop rather than simulation alone.\nProduction-quality coding skill in Python and C++, and experience with deep learning frameworks such as PyTorch.\nSolid problem solving skills using linear algebra, optimization, statistics & probability.\nAbility to rapidly prototype and test new algorithms, and to design the experiments that prove whether they work.\nOpen-minded and collaborative team player with the willingness to help others.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n","description":"You Will…
\n\n- \n
Design and develop data-driven and machine-learned approaches to vehicle control problems, bringing modern ML to a domain traditionally solved with classical methods.
\n \n- \n
Develop learned models of vehicle behavior and dynamics, and integrate them into the closed-loop simulation.
\n \n- \n
Apply machine learning to improve how the controller adapts across vehicles and operating conditions.
\n \n- \n
Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
\n \n- \n
Own problems end to end, from conceptualization and offline experimentation through simulation and on-vehicle validation.
\n \n- \n
Build the data pipelines, evaluation metrics, and tooling needed to measure whether a learned approach outperforms the classical baseline.
\n \n- \n
Participate and share ideas in technical and architecture discussions, helping define how learning and classical control coexist in a safety-critical stack.
\n \n
\nQualifications:
\n\n- \n
MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Robotics, Controls, Mechanical/Electrical Engineering, Computer Science and/or similar technical field(s) of study.
\n \n- \n
Demonstrated depth in control theory and dynamic systems (e.g., MPC, optimal control, state estimation, system identification, kinematic and dynamic vehicle modeling).
\n \n- \n
Hands-on experience applying machine learning to a physical system, with real hardware in the loop rather than simulation alone.
\n \n- \n
Production-quality coding skill in Python and C++, and experience with deep learning frameworks such as PyTorch.
\n \n- \n
Solid problem solving skills using linear algebra, optimization, statistics & probability.
\n \n- \n
Ability to rapidly prototype and test new algorithms, and to design the experiments that prove whether they work.
\n \n- \n
Open-minded and collaborative team player with the willingness to help others.
\n \n- \n
Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n \n
","id":"0614b22d-699e-4d08-9149-968e0b010bf4","lists":[],"text":"Senior / Staff Software Engineer, ML-based Controls","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"You Will…
\n\n- \n
Design and develop data-driven and machine-learned approaches to vehicle control problems, bringing modern ML to a domain traditionally solved with classical methods.
\n \n- \n
Develop learned models of vehicle behavior and dynamics, and integrate them into the closed-loop simulation.
\n \n- \n
Apply machine learning to improve how the controller adapts across vehicles and operating conditions.
\n \n- \n
Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
\n \n- \n
Own problems end to end, from conceptualization and offline experimentation through simulation and on-vehicle validation.
\n \n- \n
Build the data pipelines, evaluation metrics, and tooling needed to measure whether a learned approach outperforms the classical baseline.
\n \n- \n
Participate and share ideas in technical and architecture discussions, helping define how learning and classical control coexist in a safety-critical stack.
\n \n
\nQualifications:
\n\n- \n
MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Robotics, Controls, Mechanical/Electrical Engineering, Computer Science and/or similar technical field(s) of study.
\n \n- \n
Demonstrated depth in control theory and dynamic systems (e.g., MPC, optimal control, state estimation, system identification, kinematic and dynamic vehicle modeling).
\n \n- \n
Hands-on experience applying machine learning to a physical system, with real hardware in the loop rather than simulation alone.
\n \n- \n
Production-quality coding skill in Python and C++, and experience with deep learning frameworks such as PyTorch.
\n \n- \n
Solid problem solving skills using linear algebra, optimization, statistics & probability.
\n \n- \n
Ability to rapidly prototype and test new algorithms, and to design the experiments that prove whether they work.
\n \n- \n
Open-minded and collaborative team player with the willingness to help others.
\n \n- \n
Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n \n
","descriptionBodyPlain":"You Will…\nDesign and develop data-driven and machine-learned approaches to vehicle control problems, bringing modern ML to a domain traditionally solved with classical methods.\nDevelop learned models of vehicle behavior and dynamics, and integrate them into the closed-loop simulation.\nApply machine learning to improve how the controller adapts across vehicles and operating conditions.\nBe part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.\nOwn problems end to end, from conceptualization and offline experimentation through simulation and on-vehicle validation.\nBuild the data pipelines, evaluation metrics, and tooling needed to measure whether a learned approach outperforms the classical baseline.\nParticipate and share ideas in technical and architecture discussions, helping define how learning and classical control coexist in a safety-critical stack.\nQualifications:\nMS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Robotics, Controls, Mechanical/Electrical Engineering, Computer Science and/or similar technical field(s) of study.\nDemonstrated depth in control theory and dynamic systems (e.g., MPC, optimal control, state estimation, system identification, kinematic and dynamic vehicle modeling).\nHands-on experience applying machine learning to a physical system, with real hardware in the loop rather than simulation alone.\nProduction-quality coding skill in Python and C++, and experience with deep learning frameworks such as PyTorch.\nSolid problem solving skills using linear algebra, optimization, statistics & probability.\nAbility to rapidly prototype and test new algorithms, and to design the experiments that prove whether they work.\nOpen-minded and collaborative team player with the willingness to help others.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n","country":null,"hostedUrl":"https://jobs.lever.co/waabi/0614b22d-699e-4d08-9149-968e0b010bf4","applyUrl":"https://jobs.lever.co/waabi/0614b22d-699e-4d08-9149-968e0b010bf4/apply"},{"additionalPlain":"The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Remote US & Canada","team":"Autonomy & Algorithms","allLocations":["Remote US & Canada","Dallas, TX","Phoenix, AZ","Pittsburgh, PA","San Francisco, CA","Toronto, ON"]},"createdAt":1698699178789,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\n- Design and develop motion planning software and algorithms, building the brain which orchestrates decision making in dynamic, uncertain and interactive traffic scenarios.\n- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.\n- Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers to build a reliable autonomy stack for self-driving vehicles.\n \nQualifications:\n- MS/PhD or Bachelor degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.\n- Experience in planning/decision making approaches (e.g., optimal control, optimization based approaches, search methods, probabilistic decision making).\n- Production-quality coding skill in Python or C++.\n- Solid problem solving skills using linear algebra, geometry, statistics & probability.\n- Ability to rapidly prototype and test new algorithms.\n- Open-minded and collaborative team player with the willingness to help others.\n- Able to maintain progress towards long-term goals while working on short-term problems.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus/nice to have:\n- Experience working in self-driving field.\n- Experience in optimization.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will...
\n- Design and develop motion planning software and algorithms, building the brain which orchestrates decision making in dynamic, uncertain and interactive traffic scenarios.
\n- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
\n- Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers to build a reliable autonomy stack for self-driving vehicles.
\n
\nQualifications:
\n- MS/PhD or Bachelor degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
\n- Experience in planning/decision making approaches (e.g., optimal control, optimization based approaches, search methods, probabilistic decision making).
\n- Production-quality coding skill in Python or C++.
\n- Solid problem solving skills using linear algebra, geometry, statistics & probability.
\n- Ability to rapidly prototype and test new algorithms.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Able to maintain progress towards long-term goals while working on short-term problems.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\nBonus/nice to have:
\n- Experience working in self-driving field.
\n- Experience in optimization.
","id":"39f0345f-177c-4feb-8c27-7de26645eb14","lists":[],"text":"Senior / Staff Software Engineer, Motion Planning","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will...
\n- Design and develop motion planning software and algorithms, building the brain which orchestrates decision making in dynamic, uncertain and interactive traffic scenarios.
\n- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
\n- Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers to build a reliable autonomy stack for self-driving vehicles.
\n
\nQualifications:
\n- MS/PhD or Bachelor degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
\n- Experience in planning/decision making approaches (e.g., optimal control, optimization based approaches, search methods, probabilistic decision making).
\n- Production-quality coding skill in Python or C++.
\n- Solid problem solving skills using linear algebra, geometry, statistics & probability.
\n- Ability to rapidly prototype and test new algorithms.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Able to maintain progress towards long-term goals while working on short-term problems.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\nBonus/nice to have:
\n- Experience working in self-driving field.
\n- Experience in optimization.
","descriptionBodyPlain":"You will...\n- Design and develop motion planning software and algorithms, building the brain which orchestrates decision making in dynamic, uncertain and interactive traffic scenarios.\n- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.\n- Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers to build a reliable autonomy stack for self-driving vehicles.\n \nQualifications:\n- MS/PhD or Bachelor degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.\n- Experience in planning/decision making approaches (e.g., optimal control, optimization based approaches, search methods, probabilistic decision making).\n- Production-quality coding skill in Python or C++.\n- Solid problem solving skills using linear algebra, geometry, statistics & probability.\n- Ability to rapidly prototype and test new algorithms.\n- Open-minded and collaborative team player with the willingness to help others.\n- Able to maintain progress towards long-term goals while working on short-term problems.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus/nice to have:\n- Experience working in self-driving field.\n- Experience in optimization.\n","country":null,"hostedUrl":"https://jobs.lever.co/waabi/39f0345f-177c-4feb-8c27-7de26645eb14","applyUrl":"https://jobs.lever.co/waabi/39f0345f-177c-4feb-8c27-7de26645eb14/apply"},{"additionalPlain":"The US yearly salary range for this role is: $155,000 - $249,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nCompetitive compensation and equity awards\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage\nUnlimited Vacation\nFlexible hours and Work from Home support\nDaily drinks, snacks and catered meals (when in office)\nRegularly scheduled team building activities and social events both on-site, off-site & virtually\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"The US yearly salary range for this role is: $155,000 - $249,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage
\n- Unlimited Vacation
\n- Flexible hours and Work from Home support
\n- Daily drinks, snacks and catered meals (when in office)
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"San Francisco, CA","team":"Software Engineering","allLocations":["San Francisco, CA","Toronto, ON","Pittsburgh, PA"]},"createdAt":1759239412857,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nRobots need to see the world they live in to make informed decisions. The Onboard Sensors Team brings that sight to our robot autonomous vehicles. We are currently growing our small group to support integrating, fielding, ruggedizing and productionizing our sensor systems to allow Waabi Driver to navigate roads and freeways - charting a new path forward in how freight is moved. We work with live vehicles everyday, learning how to best shape our sensor platform to fit our vision of the future. \n \nCome help us build the most reliable AV platform and have a great time doing it!\n \nYou will…\n- Help shape the Waabi sensors platform as we scale.\n- Solve challenging integration issues across a number of sensor modalities (LIDAR, RADAR, cameras...).\n- Deploy and debug software on real vehicles operating in the field daily.\n- Integrate new types of sensors into existing and future onboard platforms.\n- Work closely with multidisciplinary development teams to design and build innovative sensor solutions.\n- Work closely with operations teams to understand live system behavior, resolve issues and form opinions on how we can mature our system going forward.\n \nQualifications:\n- 6+ years of industry experience working on fielded sensor systems (cameras, lidar, radar, GPS, IMU)\n- Collaborating with large teams that span many disciplines from engineering to operations.\n- Proficiency in C\\C++ or Rust (we use Rust) in resource constrained environments.\n- Independently led engineering effort to solve critical systems problems.\n- Experience having fielded and debugged Linux systems below the application level.\n \nBonus:\n- Some electronics experience - ability to read a schematic and use basic test equipment.\n- Passionate about self-driving technologies.\n- Knowledgeable of how time plays a role in coordinated systems.\n- Passionate for developing efficient, readable and testable code.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
Robots need to see the world they live in to make informed decisions. The Onboard Sensors Team brings that sight to our robot autonomous vehicles. We are currently growing our small group to support integrating, fielding, ruggedizing and productionizing our sensor systems to allow Waabi Driver to navigate roads and freeways - charting a new path forward in how freight is moved. We work with live vehicles everyday, learning how to best shape our sensor platform to fit our vision of the future.
\n
\nCome help us build the most reliable AV platform and have a great time doing it!
\n
\nYou will…
\n- Help shape the Waabi sensors platform as we scale.
\n- Solve challenging integration issues across a number of sensor modalities (LIDAR, RADAR, cameras...).
\n- Deploy and debug software on real vehicles operating in the field daily.
\n- Integrate new types of sensors into existing and future onboard platforms.
\n- Work closely with multidisciplinary development teams to design and build innovative sensor solutions.
\n- Work closely with operations teams to understand live system behavior, resolve issues and form opinions on how we can mature our system going forward.
\n
\nQualifications:
\n- 6+ years of industry experience working on fielded sensor systems (cameras, lidar, radar, GPS, IMU)
\n- Collaborating with large teams that span many disciplines from engineering to operations.
\n- Proficiency in C\\C++ or Rust (we use Rust) in resource constrained environments.
\n- Independently led engineering effort to solve critical systems problems.
\n- Experience having fielded and debugged Linux systems below the application level.
\n
\n\n
Bonus:
\n
- Some electronics experience - ability to read a schematic and use basic test equipment.
\n
- Passionate about self-driving technologies.
\n
- Knowledgeable of how time plays a role in coordinated systems.
\n
- Passionate for developing efficient, readable and testable code.
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"Robots need to see the world they live in to make informed decisions. The Onboard Sensors Team brings that sight to our robot autonomous vehicles. We are currently growing our small group to support integrating, fielding, ruggedizing and productionizing our sensor systems to allow Waabi Driver to navigate roads and freeways - charting a new path forward in how freight is moved. We work with live vehicles everyday, learning how to best shape our sensor platform to fit our vision of the future.
\n
\nCome help us build the most reliable AV platform and have a great time doing it!
\n
\nYou will…
\n- Help shape the Waabi sensors platform as we scale.
\n- Solve challenging integration issues across a number of sensor modalities (LIDAR, RADAR, cameras...).
\n- Deploy and debug software on real vehicles operating in the field daily.
\n- Integrate new types of sensors into existing and future onboard platforms.
\n- Work closely with multidisciplinary development teams to design and build innovative sensor solutions.
\n- Work closely with operations teams to understand live system behavior, resolve issues and form opinions on how we can mature our system going forward.
\n
\nQualifications:
\n- 6+ years of industry experience working on fielded sensor systems (cameras, lidar, radar, GPS, IMU)
\n- Collaborating with large teams that span many disciplines from engineering to operations.
\n- Proficiency in C\\C++ or Rust (we use Rust) in resource constrained environments.
\n- Independently led engineering effort to solve critical systems problems.
\n- Experience having fielded and debugged Linux systems below the application level.
\n
\n\n
Bonus:
\n
- Some electronics experience - ability to read a schematic and use basic test equipment.
\n
- Passionate about self-driving technologies.
\n
- Knowledgeable of how time plays a role in coordinated systems.
\n
- Passionate for developing efficient, readable and testable code.
\n
The US yearly salary range for this role is: $159,000 - $268,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Toronto, ON","team":"Autonomy & Algorithms","allLocations":["Toronto, ON","San Francisco, CA","Remote US & Canada"]},"createdAt":1740749710278,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nSimulation is at the core of Waabi’s approach to autonomous vehicle development. Our closed-loop simulation engine built with the latest in generative AI technologies, Waabi World, provides an extremely realistic environment for training and evaluating self-driving systems. The Simulation Platform team is responsible for delivering a modular and scalable platform which integrates the onboard autonomy system, intelligent actor models, and sensor simulation.\n \nYou will...\n- Contribute to and improve our state of the art self-driving simulator Waabi World to accelerate autonomous vehicle (AV) development. \n- Improve the scalability and performance of the simulation platform to run simulations efficiently at an extremely large scale. \n- Design and implement orchestration software between simulation subcomponents including the autonomy system, data-driven actor models, and sensor simulation powered by generative AI. \n- Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers.\n- Work closely with internal users to understand their requirements and workflows and propose new features to streamline and improve their experience using the simulator.\n- Advocate and set patterns for software development.\n- Drive complex cross-functional technical projects with impact across Waabi’s systems and company-wide impact.\n \nQualifications:\n- MS/PhD or Bachelors degree with a minimum of 5 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.\n- Experience with a variety of backend technologies and languages. Examples: Rust (Preferred), C++, Python.\n- Experience developing and maintaining production quality software, versus only creating prototypes/proof of concepts.\n- Linux/Unix experience\n- Understanding of test-driven and API-driven development methodologies.\n- Experience designing interfaces between systems.\n- Experience with multi-threaded system design/architecture, algorithms, data structure design, and systems-level programming.\n- Experience working with cross-functional partners/stakeholders when building software frameworks.\n- Experience with software performance, optimization, and profiling.\n- Experience with concurrency and determinism.\n- Open-minded and collaborative team player with willingness to help others.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus/nice to have:\n- Experience with game engine development, simulation, or other similar application runtime development. \n- Experience in autonomous systems, robotics or machine learning.\n- Experience working in distributed systems or emulation at scale.\n- Docker & Bazel experience\n- Experience building software systems from scratch.\n- Experience working in an Agile/Scrum environment.\n- Experience working with accelerators.\n- Experience with sensor data processing.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
Simulation is at the core of Waabi’s approach to autonomous vehicle development. Our closed-loop simulation engine built with the latest in generative AI technologies, Waabi World, provides an extremely realistic environment for training and evaluating self-driving systems. The Simulation Platform team is responsible for delivering a modular and scalable platform which integrates the onboard autonomy system, intelligent actor models, and sensor simulation.
\n
\nYou will...
\n- Contribute to and improve our state of the art self-driving simulator Waabi World to accelerate autonomous vehicle (AV) development.
\n- Improve the scalability and performance of the simulation platform to run simulations efficiently at an extremely large scale.
\n- Design and implement orchestration software between simulation subcomponents including the autonomy system, data-driven actor models, and sensor simulation powered by generative AI.
\n- Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers.
\n- Work closely with internal users to understand their requirements and workflows and propose new features to streamline and improve their experience using the simulator.
\n- Advocate and set patterns for software development.
\n- Drive complex cross-functional technical projects with impact across Waabi’s systems and company-wide impact.
\n
\nQualifications:
\n- MS/PhD or Bachelors degree with a minimum of 5 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
\n- Experience with a variety of backend technologies and languages. Examples: Rust (Preferred), C++, Python.
\n- Experience developing and maintaining production quality software, versus only creating prototypes/proof of concepts.
\n- Linux/Unix experience
\n- Understanding of test-driven and API-driven development methodologies.
\n- Experience designing interfaces between systems.
\n- Experience with multi-threaded system design/architecture, algorithms, data structure design, and systems-level programming.
\n- Experience working with cross-functional partners/stakeholders when building software frameworks.
\n- Experience with software performance, optimization, and profiling.
\n- Experience with concurrency and determinism.
\n- Open-minded and collaborative team player with willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\nBonus/nice to have:
\n- Experience with game engine development, simulation, or other similar application runtime development.
\n- Experience in autonomous systems, robotics or machine learning.
\n- Experience working in distributed systems or emulation at scale.
\n- Docker & Bazel experience
\n- Experience building software systems from scratch.
\n- Experience working in an Agile/Scrum environment.
\n- Experience working with accelerators.
\n- Experience with sensor data processing.
","id":"98adc020-0aa7-4972-a3be-bd713be72fcc","lists":[],"text":"Senior / Staff Software Engineer, Simulation Platform","country":"CA","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"Simulation is at the core of Waabi’s approach to autonomous vehicle development. Our closed-loop simulation engine built with the latest in generative AI technologies, Waabi World, provides an extremely realistic environment for training and evaluating self-driving systems. The Simulation Platform team is responsible for delivering a modular and scalable platform which integrates the onboard autonomy system, intelligent actor models, and sensor simulation.
\n
\nYou will...
\n- Contribute to and improve our state of the art self-driving simulator Waabi World to accelerate autonomous vehicle (AV) development.
\n- Improve the scalability and performance of the simulation platform to run simulations efficiently at an extremely large scale.
\n- Design and implement orchestration software between simulation subcomponents including the autonomy system, data-driven actor models, and sensor simulation powered by generative AI.
\n- Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers.
\n- Work closely with internal users to understand their requirements and workflows and propose new features to streamline and improve their experience using the simulator.
\n- Advocate and set patterns for software development.
\n- Drive complex cross-functional technical projects with impact across Waabi’s systems and company-wide impact.
\n
\nQualifications:
\n- MS/PhD or Bachelors degree with a minimum of 5 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
\n- Experience with a variety of backend technologies and languages. Examples: Rust (Preferred), C++, Python.
\n- Experience developing and maintaining production quality software, versus only creating prototypes/proof of concepts.
\n- Linux/Unix experience
\n- Understanding of test-driven and API-driven development methodologies.
\n- Experience designing interfaces between systems.
\n- Experience with multi-threaded system design/architecture, algorithms, data structure design, and systems-level programming.
\n- Experience working with cross-functional partners/stakeholders when building software frameworks.
\n- Experience with software performance, optimization, and profiling.
\n- Experience with concurrency and determinism.
\n- Open-minded and collaborative team player with willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\nBonus/nice to have:
\n- Experience with game engine development, simulation, or other similar application runtime development.
\n- Experience in autonomous systems, robotics or machine learning.
\n- Experience working in distributed systems or emulation at scale.
\n- Docker & Bazel experience
\n- Experience building software systems from scratch.
\n- Experience working in an Agile/Scrum environment.
\n- Experience working with accelerators.
\n- Experience with sensor data processing.
","descriptionBodyPlain":"Simulation is at the core of Waabi’s approach to autonomous vehicle development. Our closed-loop simulation engine built with the latest in generative AI technologies, Waabi World, provides an extremely realistic environment for training and evaluating self-driving systems. The Simulation Platform team is responsible for delivering a modular and scalable platform which integrates the onboard autonomy system, intelligent actor models, and sensor simulation.\n \nYou will...\n- Contribute to and improve our state of the art self-driving simulator Waabi World to accelerate autonomous vehicle (AV) development. \n- Improve the scalability and performance of the simulation platform to run simulations efficiently at an extremely large scale. \n- Design and implement orchestration software between simulation subcomponents including the autonomy system, data-driven actor models, and sensor simulation powered by generative AI. \n- Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers.\n- Work closely with internal users to understand their requirements and workflows and propose new features to streamline and improve their experience using the simulator.\n- Advocate and set patterns for software development.\n- Drive complex cross-functional technical projects with impact across Waabi’s systems and company-wide impact.\n \nQualifications:\n- MS/PhD or Bachelors degree with a minimum of 5 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.\n- Experience with a variety of backend technologies and languages. Examples: Rust (Preferred), C++, Python.\n- Experience developing and maintaining production quality software, versus only creating prototypes/proof of concepts.\n- Linux/Unix experience\n- Understanding of test-driven and API-driven development methodologies.\n- Experience designing interfaces between systems.\n- Experience with multi-threaded system design/architecture, algorithms, data structure design, and systems-level programming.\n- Experience working with cross-functional partners/stakeholders when building software frameworks.\n- Experience with software performance, optimization, and profiling.\n- Experience with concurrency and determinism.\n- Open-minded and collaborative team player with willingness to help others.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus/nice to have:\n- Experience with game engine development, simulation, or other similar application runtime development. \n- Experience in autonomous systems, robotics or machine learning.\n- Experience working in distributed systems or emulation at scale.\n- Docker & Bazel experience\n- Experience building software systems from scratch.\n- Experience working in an Agile/Scrum environment.\n- Experience working with accelerators.\n- Experience with sensor data processing.\n","hostedUrl":"https://jobs.lever.co/waabi/98adc020-0aa7-4972-a3be-bd713be72fcc","applyUrl":"https://jobs.lever.co/waabi/98adc020-0aa7-4972-a3be-bd713be72fcc/apply"},{"additionalPlain":"Perks/Benefits:\n- Competitive compensation and equity awards.\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\n- Unlimited Vacation.\n- Flexible hours and Work from Home support.\n- Daily drinks, snacks and catered meals (when in office).\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.\n- As we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"Perks/Benefits:
\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Toronto, ON","team":"Software Engineering","allLocations":["Toronto, ON","San Francisco, CA","Remote Canada","Remote US"]},"createdAt":1716486473719,"descriptionPlain":"Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.\n \nWith offices in Toronto and San Francisco, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way.\nTo learn more visit: www.waabi.ai\n \nOn Tools, we build software tools that solve Waabi-specific problems and accelerate development. We have a relatively unique set of skills within the software organization that lets us build those tools. The Tools team owns and maintain services that have been built. In this team you will improve on our existing suite of services, and expanding it with new tools.\n \nYou will...\n- Lead technical and architecture discussions, collaborating with Researchers and Engineers.\n- Mentor other software engineers via code reviews, technical design reviews, and sharing general software development best practices.\n- Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale.\n- Build and maintain interactive web tools including interactive simulation, custom labelling tools, data annotation tools, dataset curation tools, result comparison tools, and more.\n \nQualifications:\n- Bachelor’s degree in Computer Science, Computer Engineering or related engineering disciplines.\n- 5+ years of industry experience developing production quality software.\n- Experience with modern web technologies/libraries for building responsive web applications. Examples: TypeScript, React, or similar languages and tools.\n- Experience with a variety of backend technologies and languages. Examples: Go, Python, Rust, C++.\n- Experience with cloud infrastructure such as AWS or GCP.- Ability to learn new technologies quickly.\n- Empathy for the people who will use the tools you create and maintain.\n- Open-minded and collaborative team player with willingness to help others.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \n \nBonus/ nice to have: \n- Experience working with container and cloud infrastructure and managing infrastructure-as-code.\n- Experience with 3D visualization (WebGL) / real-time interactive systems.\n- Experience with web visualization libraries such as D3.js, three.js, or similar.\n- Previous experience or passion in UX/design.\n- Experience with software development tools including build system, version control, continuous integration, containers, packaging, profiling, debugging, code review, linting, test automation, and test coverage tools.\n- Experience in ML and self-driving.\n- Experience working with robotics or machine learning research teams.\n- Experience working in an Agile/Scrum environment.\n \nThe US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n","description":"Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.
\n
\nWith offices in Toronto and San Francisco, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way.
\n\n
\nOn Tools, we build software tools that solve Waabi-specific problems and accelerate development. We have a relatively unique set of skills within the software organization that lets us build those tools. The Tools team owns and maintain services that have been built. In this team you will improve on our existing suite of services, and expanding it with new tools.
\n
\nYou will...
\n- Lead technical and architecture discussions, collaborating with Researchers and Engineers.
\n- Mentor other software engineers via code reviews, technical design reviews, and sharing general software development best practices.
\n- Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale.
\n- Build and maintain interactive web tools including interactive simulation, custom labelling tools, data annotation tools, dataset curation tools, result comparison tools, and more.
\n
\nQualifications:
\n- Bachelor’s degree in Computer Science, Computer Engineering or related engineering disciplines.
\n- 5+ years of industry experience developing production quality software.
\n- Experience with modern web technologies/libraries for building responsive web applications. Examples: TypeScript, React, or similar languages and tools.
\n- Experience with a variety of backend technologies and languages. Examples: Go, Python, Rust, C++.
\n- Experience with cloud infrastructure such as AWS or GCP.- Ability to learn new technologies quickly.
\n- Empathy for the people who will use the tools you create and maintain.
\n- Open-minded and collaborative team player with willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
\nBonus/ nice to have:
\n- Experience working with container and cloud infrastructure and managing infrastructure-as-code.
\n- Experience with 3D visualization (WebGL) / real-time interactive systems.
\n- Experience with web visualization libraries such as D3.js, three.js, or similar. \n- Previous experience or passion in UX/design.
\n- Experience with software development tools including build system, version control, continuous integration, containers, packaging, profiling, debugging, code review, linting, test automation, and test coverage tools.
\n- Experience in ML and self-driving.
\n- Experience working with robotics or machine learning research teams.
\n- Experience working in an Agile/Scrum environment.
\n
\nThe US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
","id":"7fe1b29b-9f8b-4a51-8669-20724015ecd3","lists":[],"text":"Senior / Staff Software Engineer, Web Tools","country":"CA","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.
\n
\nWith offices in Toronto and San Francisco, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way.
\n\n
\nOn Tools, we build software tools that solve Waabi-specific problems and accelerate development. We have a relatively unique set of skills within the software organization that lets us build those tools. The Tools team owns and maintain services that have been built. In this team you will improve on our existing suite of services, and expanding it with new tools.
\n
\nYou will...
\n- Lead technical and architecture discussions, collaborating with Researchers and Engineers.
\n- Mentor other software engineers via code reviews, technical design reviews, and sharing general software development best practices.
\n- Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale.
\n- Build and maintain interactive web tools including interactive simulation, custom labelling tools, data annotation tools, dataset curation tools, result comparison tools, and more.
\n
\nQualifications:
\n- Bachelor’s degree in Computer Science, Computer Engineering or related engineering disciplines.
\n- 5+ years of industry experience developing production quality software.
\n- Experience with modern web technologies/libraries for building responsive web applications. Examples: TypeScript, React, or similar languages and tools.
\n- Experience with a variety of backend technologies and languages. Examples: Go, Python, Rust, C++.
\n- Experience with cloud infrastructure such as AWS or GCP.- Ability to learn new technologies quickly.
\n- Empathy for the people who will use the tools you create and maintain.
\n- Open-minded and collaborative team player with willingness to help others.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
\nBonus/ nice to have:
\n- Experience working with container and cloud infrastructure and managing infrastructure-as-code.
\n- Experience with 3D visualization (WebGL) / real-time interactive systems.
\n- Experience with web visualization libraries such as D3.js, three.js, or similar. \n- Previous experience or passion in UX/design.
\n- Experience with software development tools including build system, version control, continuous integration, containers, packaging, profiling, debugging, code review, linting, test automation, and test coverage tools.
\n- Experience in ML and self-driving.
\n- Experience working with robotics or machine learning research teams.
\n- Experience working in an Agile/Scrum environment.
\n
\nThe US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
","descriptionBodyPlain":"Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.\n \nWith offices in Toronto and San Francisco, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way.\nTo learn more visit: www.waabi.ai\n \nOn Tools, we build software tools that solve Waabi-specific problems and accelerate development. We have a relatively unique set of skills within the software organization that lets us build those tools. The Tools team owns and maintain services that have been built. In this team you will improve on our existing suite of services, and expanding it with new tools.\n \nYou will...\n- Lead technical and architecture discussions, collaborating with Researchers and Engineers.\n- Mentor other software engineers via code reviews, technical design reviews, and sharing general software development best practices.\n- Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale.\n- Build and maintain interactive web tools including interactive simulation, custom labelling tools, data annotation tools, dataset curation tools, result comparison tools, and more.\n \nQualifications:\n- Bachelor’s degree in Computer Science, Computer Engineering or related engineering disciplines.\n- 5+ years of industry experience developing production quality software.\n- Experience with modern web technologies/libraries for building responsive web applications. Examples: TypeScript, React, or similar languages and tools.\n- Experience with a variety of backend technologies and languages. Examples: Go, Python, Rust, C++.\n- Experience with cloud infrastructure such as AWS or GCP.- Ability to learn new technologies quickly.\n- Empathy for the people who will use the tools you create and maintain.\n- Open-minded and collaborative team player with willingness to help others.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \n \nBonus/ nice to have: \n- Experience working with container and cloud infrastructure and managing infrastructure-as-code.\n- Experience with 3D visualization (WebGL) / real-time interactive systems.\n- Experience with web visualization libraries such as D3.js, three.js, or similar.\n- Previous experience or passion in UX/design.\n- Experience with software development tools including build system, version control, continuous integration, containers, packaging, profiling, debugging, code review, linting, test automation, and test coverage tools.\n- Experience in ML and self-driving.\n- Experience working with robotics or machine learning research teams.\n- Experience working in an Agile/Scrum environment.\n \nThe US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n","hostedUrl":"https://jobs.lever.co/waabi/7fe1b29b-9f8b-4a51-8669-20724015ecd3","applyUrl":"https://jobs.lever.co/waabi/7fe1b29b-9f8b-4a51-8669-20724015ecd3/apply"},{"additionalPlain":"Perks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Hardware","location":"Pittsburgh, PA","team":"Mechanical Engineering","allLocations":["Pittsburgh, PA"]},"createdAt":1787163858057,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\nLead Supplier Qualification and Onboarding: Conduct technical audits of potential and existing suppliers to evaluate their manufacturing maturity, quality management systems (QMS), and alignment with IATF 16949 or ISO 9001 standards.\nManage the Supplier Life Cycle: Serve as the primary technical point of contact for a portfolio of suppliers, managing all quality activities from initial sourcing through Start of Production (SOP) and into service-life support.\nPartner with internal Engineering teams during the DFM (Design for Manufacturing) phase to ensure that complex mechanical designs are optimized for high-yield production and assembly at the vendor site.\nSupplier and CM APQP/PPAP Ownership, leading the Advanced Product Quality Planning (APQP) process. Owning the delivery of the PPAP (Production Part Approval Process) package, ensuring every component is validated before Start of Production (SOP).\nLead the development of Supplier PPAP deliverables, including PFMEAs, Process Flow Diagrams, and Control Plans, ensuring the supplier has identified and mitigated all assembly-related risks with \"Poka-Yoke\" (error-proofing) solutions.\nBe responsible for supplier mechanical assembly, test, and integration of sensors, compute, and actuation systems, defining the special characteristic (SC/CC) steps for the manufacturing process.\nWork closely with the internal teams to define, deploy, and validate hardware End-of-Line (EOL) testers and calibration requirements.\nSupport Process Verification (PV) Testing, conducting run-at-rate studies to prove supplier manufacturing lines can sustain quality targets at full production speed.\nInterface with Product Quality to analyze field performance data, identifying hardware trends and driving corrective actions back to the supplier.\nLead the RCCA (Root Cause Corrective Action) process for all supplier-related non-conformances, utilizing the 8D methodology to move from initial containment to long-term systemic prevention.\nBe QMS responsible for supporting and improving the quality management system relative to suppliers, CMs, and Tier 1s.\n \nQualifications:\nBachelors of Science in Mechanical Engineering, Electrical Engineering, or a related technical field.\nDeep understanding of APQP, PPAP, including FMEA, MSA, Gage R&R, and SPC.\nAdvanced APQP & PPAP Management: Proven experience driving the 5 phases of APQP, managing design maturity milestones, and ensuring all 18 elements of PPAP are met for safety-critical components.\nProblem-Solving Expert: Mastery of 8D, 5-Why, and Fishbone (Ishikawa) analysis. Must have a proven track record of implementing RCCA that successfully prevents the recurrence of complex electromechanical failures.\nProficient with Solidworks or similar 3D CAD and CAE software tools for design review, fixture development, and tolerance stack-up analysis.\nExperience with technical drawing tolerancing (e.g. GD&T) for various manufacturing operations to ensure clear communication of design intent to vendors.\nExperience with various manufacturing processes (e.g. printed circuit board, PCBA, wire harness, sheet metal, injection molding, stamping, die casting, and CNC machining).\nExperience with Finite Element Analysis (FEA) to evaluate supplier DFMs, as well as supplier-proposed design changes or material substitutions.\nExperience with PLM tools and document revision control to manage Engineering Change Orders (ECO) across the supply base.\nExperience with automotive standards (e.g. ISO 9001, IATF 16949 or ISO26262).\nTravel Expectations: Approximately 25-50% travel required. This is objective-based and fluctuates according to APQP program milestones, such as on-site supplier audits, process validations (PV), and production ramp-ups.\n \nBonus Qualifications:\nAutomotive, Aerospace, Autonomous Vehicle (AV) or EV industry experience is highly preferred.\nIPC/WHMA-A-620 and IPC-A-610 knowledge for acceptance of wire harness assemblies and electronic assemblies.\nCertified Quality Engineer (CQE) or Six Sigma Green/Black Belt is highly preferred.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
You will...
\n
\n- Lead Supplier Qualification and Onboarding: Conduct technical audits of potential and existing suppliers to evaluate their manufacturing maturity, quality management systems (QMS), and alignment with IATF 16949 or ISO 9001 standards.
\n- Manage the Supplier Life Cycle: Serve as the primary technical point of contact for a portfolio of suppliers, managing all quality activities from initial sourcing through Start of Production (SOP) and into service-life support.
\n- Partner with internal Engineering teams during the DFM (Design for Manufacturing) phase to ensure that complex mechanical designs are optimized for high-yield production and assembly at the vendor site.
\n- Supplier and CM APQP/PPAP Ownership, leading the Advanced Product Quality Planning (APQP) process. Owning the delivery of the PPAP (Production Part Approval Process) package, ensuring every component is validated before Start of Production (SOP).
\n- Lead the development of Supplier PPAP deliverables, including PFMEAs, Process Flow Diagrams, and Control Plans, ensuring the supplier has identified and mitigated all assembly-related risks with \"Poka-Yoke\" (error-proofing) solutions.
\n- Be responsible for supplier mechanical assembly, test, and integration of sensors, compute, and actuation systems, defining the special characteristic (SC/CC) steps for the manufacturing process.
\n- Work closely with the internal teams to define, deploy, and validate hardware End-of-Line (EOL) testers and calibration requirements.
\n- Support Process Verification (PV) Testing, conducting run-at-rate studies to prove supplier manufacturing lines can sustain quality targets at full production speed.
\n- Interface with Product Quality to analyze field performance data, identifying hardware trends and driving corrective actions back to the supplier.
\n- Lead the RCCA (Root Cause Corrective Action) process for all supplier-related non-conformances, utilizing the 8D methodology to move from initial containment to long-term systemic prevention.
\n- Be QMS responsible for supporting and improving the quality management system relative to suppliers, CMs, and Tier 1s.
\n
\n
\n
Qualifications:
\n
\n- Bachelors of Science in Mechanical Engineering, Electrical Engineering, or a related technical field.
\n- Deep understanding of APQP, PPAP, including FMEA, MSA, Gage R&R, and SPC.
\n- Advanced APQP & PPAP Management: Proven experience driving the 5 phases of APQP, managing design maturity milestones, and ensuring all 18 elements of PPAP are met for safety-critical components.
\n- Problem-Solving Expert: Mastery of 8D, 5-Why, and Fishbone (Ishikawa) analysis. Must have a proven track record of implementing RCCA that successfully prevents the recurrence of complex electromechanical failures.
\n- Proficient with Solidworks or similar 3D CAD and CAE software tools for design review, fixture development, and tolerance stack-up analysis.
\n- Experience with technical drawing tolerancing (e.g. GD&T) for various manufacturing operations to ensure clear communication of design intent to vendors.
\n- Experience with various manufacturing processes (e.g. printed circuit board, PCBA, wire harness, sheet metal, injection molding, stamping, die casting, and CNC machining).
\n- Experience with Finite Element Analysis (FEA) to evaluate supplier DFMs, as well as supplier-proposed design changes or material substitutions.
\n- Experience with PLM tools and document revision control to manage Engineering Change Orders (ECO) across the supply base.
\n- Experience with automotive standards (e.g. ISO 9001, IATF 16949 or ISO26262).
\n- Travel Expectations: Approximately 25-50% travel required. This is objective-based and fluctuates according to APQP program milestones, such as on-site supplier audits, process validations (PV), and production ramp-ups.
\n
\n
\n
Bonus Qualifications:
\n
\n- Automotive, Aerospace, Autonomous Vehicle (AV) or EV industry experience is highly preferred.
\n- IPC/WHMA-A-620 and IPC-A-610 knowledge for acceptance of wire harness assemblies and electronic assemblies.
\n- Certified Quality Engineer (CQE) or Six Sigma Green/Black Belt is highly preferred.
\n
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
You will...
\n
\n- Lead Supplier Qualification and Onboarding: Conduct technical audits of potential and existing suppliers to evaluate their manufacturing maturity, quality management systems (QMS), and alignment with IATF 16949 or ISO 9001 standards.
\n- Manage the Supplier Life Cycle: Serve as the primary technical point of contact for a portfolio of suppliers, managing all quality activities from initial sourcing through Start of Production (SOP) and into service-life support.
\n- Partner with internal Engineering teams during the DFM (Design for Manufacturing) phase to ensure that complex mechanical designs are optimized for high-yield production and assembly at the vendor site.
\n- Supplier and CM APQP/PPAP Ownership, leading the Advanced Product Quality Planning (APQP) process. Owning the delivery of the PPAP (Production Part Approval Process) package, ensuring every component is validated before Start of Production (SOP).
\n- Lead the development of Supplier PPAP deliverables, including PFMEAs, Process Flow Diagrams, and Control Plans, ensuring the supplier has identified and mitigated all assembly-related risks with \"Poka-Yoke\" (error-proofing) solutions.
\n- Be responsible for supplier mechanical assembly, test, and integration of sensors, compute, and actuation systems, defining the special characteristic (SC/CC) steps for the manufacturing process.
\n- Work closely with the internal teams to define, deploy, and validate hardware End-of-Line (EOL) testers and calibration requirements.
\n- Support Process Verification (PV) Testing, conducting run-at-rate studies to prove supplier manufacturing lines can sustain quality targets at full production speed.
\n- Interface with Product Quality to analyze field performance data, identifying hardware trends and driving corrective actions back to the supplier.
\n- Lead the RCCA (Root Cause Corrective Action) process for all supplier-related non-conformances, utilizing the 8D methodology to move from initial containment to long-term systemic prevention.
\n- Be QMS responsible for supporting and improving the quality management system relative to suppliers, CMs, and Tier 1s.
\n
\n
\n
Qualifications:
\n
\n- Bachelors of Science in Mechanical Engineering, Electrical Engineering, or a related technical field.
\n- Deep understanding of APQP, PPAP, including FMEA, MSA, Gage R&R, and SPC.
\n- Advanced APQP & PPAP Management: Proven experience driving the 5 phases of APQP, managing design maturity milestones, and ensuring all 18 elements of PPAP are met for safety-critical components.
\n- Problem-Solving Expert: Mastery of 8D, 5-Why, and Fishbone (Ishikawa) analysis. Must have a proven track record of implementing RCCA that successfully prevents the recurrence of complex electromechanical failures.
\n- Proficient with Solidworks or similar 3D CAD and CAE software tools for design review, fixture development, and tolerance stack-up analysis.
\n- Experience with technical drawing tolerancing (e.g. GD&T) for various manufacturing operations to ensure clear communication of design intent to vendors.
\n- Experience with various manufacturing processes (e.g. printed circuit board, PCBA, wire harness, sheet metal, injection molding, stamping, die casting, and CNC machining).
\n- Experience with Finite Element Analysis (FEA) to evaluate supplier DFMs, as well as supplier-proposed design changes or material substitutions.
\n- Experience with PLM tools and document revision control to manage Engineering Change Orders (ECO) across the supply base.
\n- Experience with automotive standards (e.g. ISO 9001, IATF 16949 or ISO26262).
\n- Travel Expectations: Approximately 25-50% travel required. This is objective-based and fluctuates according to APQP program milestones, such as on-site supplier audits, process validations (PV), and production ramp-ups.
\n
\n
\n
Bonus Qualifications:
\n
\n- Automotive, Aerospace, Autonomous Vehicle (AV) or EV industry experience is highly preferred.
\n- IPC/WHMA-A-620 and IPC-A-610 knowledge for acceptance of wire harness assemblies and electronic assemblies.
\n- Certified Quality Engineer (CQE) or Six Sigma Green/Black Belt is highly preferred.
\n
\n
The US yearly salary range for this role is: $125,000 - $153,000 USD and the Canada salary range for this role is: $88,000 - $108,000 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.
\n
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Finance","location":"Toronto, ON","team":"Accounting","allLocations":["Toronto, ON","Dallas, TX","Phoenix, AZ","Pittsburgh, PA","San Francisco, CA"]},"createdAt":1785520897459,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\nManage the full accounts payable cycle - invoice review, coding, approvals, and payment processing to ensure all payments are made on time; own vendor communications and resolve billing or payment issues. Assist with accounts receivable.\nManage the month-end, quarter-end, and year-end close processes, including the close calendar and task tracking.\nSupport and maintain the monthly consolidation schedules.\nPrepare analytics and supporting schedules for the month-end close review.\nPrepare and post journal entries, including accruals, prepaid expenses, and reclassifications.\nPerform balance sheet account reconciliations and investigate variances.\nAssist with audit preparation, including supporting schedules and documentation.\nHelp maintain accounting policies, procedures, and internal controls.\nCollaborate with FP&A, HR, purchasing and other teams to support reporting and operational needs.\nParticipate in process improvement initiatives and system enhancements.\n \nQualifications:\nBachelor’s degree in Accounting, Finance, or a related field.\n5+ years of accounting experience (public accounting or high-growth company experience a plus).\nStrong understanding of US GAAP fundamentals.\nExperience with month-end close and account reconciliations.\nProficiency in Excel or Google Sheets (pivot tables, lookups, formulas).\nExperience with accounting systems such as NetSuite, QuickBooks or Ramp is a plus.\nExperience in integrating AI tools into day-to-day operations.\nStrong attention to detail, organization, and follow-through.\nAbility to manage multiple priorities in a deadline-driven environment.\nExcellent communication skills and a collaborative mindset.\n \nBonus:\nCPA or CPA-eligible.\nExperience in a technology, SaaS, or startup environment.\nExposure to audits, SOX, or internal controls.\nExperience with AP tools, expense systems, or close management software.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will...
\n\n- Manage the full accounts payable cycle - invoice review, coding, approvals, and payment processing to ensure all payments are made on time; own vendor communications and resolve billing or payment issues. Assist with accounts receivable.
\n- Manage the month-end, quarter-end, and year-end close processes, including the close calendar and task tracking.
\n- Support and maintain the monthly consolidation schedules.
\n- Prepare analytics and supporting schedules for the month-end close review.
\n- Prepare and post journal entries, including accruals, prepaid expenses, and reclassifications.
\n- Perform balance sheet account reconciliations and investigate variances.
\n- Assist with audit preparation, including supporting schedules and documentation.
\n- Help maintain accounting policies, procedures, and internal controls.
\n- Collaborate with FP&A, HR, purchasing and other teams to support reporting and operational needs.
\n- Participate in process improvement initiatives and system enhancements.
\n
\n
\nQualifications:
\n\n- Bachelor’s degree in Accounting, Finance, or a related field.
\n- 5+ years of accounting experience (public accounting or high-growth company experience a plus).
\n- Strong understanding of US GAAP fundamentals.
\n- Experience with month-end close and account reconciliations.
\n- Proficiency in Excel or Google Sheets (pivot tables, lookups, formulas).
\n- Experience with accounting systems such as NetSuite, QuickBooks or Ramp is a plus.
\n- Experience in integrating AI tools into day-to-day operations.
\n- Strong attention to detail, organization, and follow-through.
\n- Ability to manage multiple priorities in a deadline-driven environment.
\n- Excellent communication skills and a collaborative mindset.
\n
\n
\nBonus:
\n\n- CPA or CPA-eligible.
\n- Experience in a technology, SaaS, or startup environment.
\n- Exposure to audits, SOX, or internal controls.
\n- Experience with AP tools, expense systems, or close management software.
\n
","id":"96d0d7b7-b5e5-4bd4-86cf-068cfbee972e","lists":[],"text":"Senior Accountant","country":"CA","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will...
\n\n- Manage the full accounts payable cycle - invoice review, coding, approvals, and payment processing to ensure all payments are made on time; own vendor communications and resolve billing or payment issues. Assist with accounts receivable.
\n- Manage the month-end, quarter-end, and year-end close processes, including the close calendar and task tracking.
\n- Support and maintain the monthly consolidation schedules.
\n- Prepare analytics and supporting schedules for the month-end close review.
\n- Prepare and post journal entries, including accruals, prepaid expenses, and reclassifications.
\n- Perform balance sheet account reconciliations and investigate variances.
\n- Assist with audit preparation, including supporting schedules and documentation.
\n- Help maintain accounting policies, procedures, and internal controls.
\n- Collaborate with FP&A, HR, purchasing and other teams to support reporting and operational needs.
\n- Participate in process improvement initiatives and system enhancements.
\n
\n
\nQualifications:
\n\n- Bachelor’s degree in Accounting, Finance, or a related field.
\n- 5+ years of accounting experience (public accounting or high-growth company experience a plus).
\n- Strong understanding of US GAAP fundamentals.
\n- Experience with month-end close and account reconciliations.
\n- Proficiency in Excel or Google Sheets (pivot tables, lookups, formulas).
\n- Experience with accounting systems such as NetSuite, QuickBooks or Ramp is a plus.
\n- Experience in integrating AI tools into day-to-day operations.
\n- Strong attention to detail, organization, and follow-through.
\n- Ability to manage multiple priorities in a deadline-driven environment.
\n- Excellent communication skills and a collaborative mindset.
\n
\n
\nBonus:
\n\n- CPA or CPA-eligible.
\n- Experience in a technology, SaaS, or startup environment.
\n- Exposure to audits, SOX, or internal controls.
\n- Experience with AP tools, expense systems, or close management software.
\n
","descriptionBodyPlain":"You will...\nManage the full accounts payable cycle - invoice review, coding, approvals, and payment processing to ensure all payments are made on time; own vendor communications and resolve billing or payment issues. Assist with accounts receivable.\nManage the month-end, quarter-end, and year-end close processes, including the close calendar and task tracking.\nSupport and maintain the monthly consolidation schedules.\nPrepare analytics and supporting schedules for the month-end close review.\nPrepare and post journal entries, including accruals, prepaid expenses, and reclassifications.\nPerform balance sheet account reconciliations and investigate variances.\nAssist with audit preparation, including supporting schedules and documentation.\nHelp maintain accounting policies, procedures, and internal controls.\nCollaborate with FP&A, HR, purchasing and other teams to support reporting and operational needs.\nParticipate in process improvement initiatives and system enhancements.\n \nQualifications:\nBachelor’s degree in Accounting, Finance, or a related field.\n5+ years of accounting experience (public accounting or high-growth company experience a plus).\nStrong understanding of US GAAP fundamentals.\nExperience with month-end close and account reconciliations.\nProficiency in Excel or Google Sheets (pivot tables, lookups, formulas).\nExperience with accounting systems such as NetSuite, QuickBooks or Ramp is a plus.\nExperience in integrating AI tools into day-to-day operations.\nStrong attention to detail, organization, and follow-through.\nAbility to manage multiple priorities in a deadline-driven environment.\nExcellent communication skills and a collaborative mindset.\n \nBonus:\nCPA or CPA-eligible.\nExperience in a technology, SaaS, or startup environment.\nExposure to audits, SOX, or internal controls.\nExperience with AP tools, expense systems, or close management software.\n","hostedUrl":"https://jobs.lever.co/waabi/96d0d7b7-b5e5-4bd4-86cf-068cfbee972e","applyUrl":"https://jobs.lever.co/waabi/96d0d7b7-b5e5-4bd4-86cf-068cfbee972e/apply"},{"additionalPlain":"The US yearly salary range for this role is: $120,000 - $190,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nWaabi provides a competitive benefits package that includes:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage.\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nWorld-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)\nAs we grow, this list continues to evolve! \n \nWaabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"The US yearly salary range for this role is: $120,000 - $190,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\nWaabi provides a competitive benefits package that includes:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- World-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Finance","location":"Remote US & Canada","team":"Accounting","allLocations":["Remote US & Canada","Dallas, TX","Phoenix, AZ","Pittsburgh, PA","San Francisco, CA","Toronto, ON"]},"createdAt":1778263766246,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\nLead the monthly, quarterly, and annual close process.\nManage consolidation of financial statements across entities.\nPrepare and review US GAAP financial statements.\nEnsure accuracy and completeness of general ledger activity.\nAutomate accounting processes using AI, including, consolidation, financials statements preparation, close, reconciliations, and reporting workflows.\nIdentify and implement AI-driven efficiencies to reduce manual work and improve accuracy.\nPartner cross-functionally to improve systems, data flow, and reporting.\nSupport audit processes and maintain audit-ready documentation.\nAdditional ad hoc projects and responsibilities as assigned.\n \nQualifications:\nBachelor’s degree in Accounting, Finance, or a related field.\n5+ years of accounting experience (public accounting and/or industry).\nStrong experience in general accounting, consolidation, and financial reporting.\nDeep understanding of US GAAP and the ability to draft technical accounting memos that stand up to audit scrutiny.\nProficiency in accounting software (e.g., QuickBooks, NetSuite) and Microsoft Excel.\nDemonstrated ability to leverage AI-powered tools (e.g., ChatGPT, Claude) to automate repetitive tasks, improve workflows, and increase productivity while maintaining accuracy and quality.\nBasic coding and scripting skills (e.g., Python) with the ability to build simple automations, analyze data, and integrate AI tools into day-to-day operations.\nOpen-minded and collaborative team player with the willingness to help others.\nExcitement in supporting a fast-paced high-growth environment.\n \nBonus/nice to have:\nStartup/rapidly growing technology company experience.\nERP/financial system implementation.\nLicensed CPA.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
You will...
\n
\n- Lead the monthly, quarterly, and annual close process.
\n- Manage consolidation of financial statements across entities.
\n- Prepare and review US GAAP financial statements.
\n- Ensure accuracy and completeness of general ledger activity.
\n- Automate accounting processes using AI, including, consolidation, financials statements preparation, close, reconciliations, and reporting workflows.
\n- Identify and implement AI-driven efficiencies to reduce manual work and improve accuracy.
\n- Partner cross-functionally to improve systems, data flow, and reporting.
\n- Support audit processes and maintain audit-ready documentation.
\n- Additional ad hoc projects and responsibilities as assigned.
\n
\n
\n
Qualifications:
\n
\n- Bachelor’s degree in Accounting, Finance, or a related field.
\n- 5+ years of accounting experience (public accounting and/or industry).
\n- Strong experience in general accounting, consolidation, and financial reporting.
\n- Deep understanding of US GAAP and the ability to draft technical accounting memos that stand up to audit scrutiny.
\n- Proficiency in accounting software (e.g., QuickBooks, NetSuite) and Microsoft Excel.
\n- Demonstrated ability to leverage AI-powered tools (e.g., ChatGPT, Claude) to automate repetitive tasks, improve workflows, and increase productivity while maintaining accuracy and quality.
\n- Basic coding and scripting skills (e.g., Python) with the ability to build simple automations, analyze data, and integrate AI tools into day-to-day operations.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Excitement in supporting a fast-paced high-growth environment.
\n
\n
\n
Bonus/nice to have:
\n
\n- Startup/rapidly growing technology company experience.
\n- ERP/financial system implementation.
\n- Licensed CPA.
\n
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
You will...
\n
\n- Lead the monthly, quarterly, and annual close process.
\n- Manage consolidation of financial statements across entities.
\n- Prepare and review US GAAP financial statements.
\n- Ensure accuracy and completeness of general ledger activity.
\n- Automate accounting processes using AI, including, consolidation, financials statements preparation, close, reconciliations, and reporting workflows.
\n- Identify and implement AI-driven efficiencies to reduce manual work and improve accuracy.
\n- Partner cross-functionally to improve systems, data flow, and reporting.
\n- Support audit processes and maintain audit-ready documentation.
\n- Additional ad hoc projects and responsibilities as assigned.
\n
\n
\n
Qualifications:
\n
\n- Bachelor’s degree in Accounting, Finance, or a related field.
\n- 5+ years of accounting experience (public accounting and/or industry).
\n- Strong experience in general accounting, consolidation, and financial reporting.
\n- Deep understanding of US GAAP and the ability to draft technical accounting memos that stand up to audit scrutiny.
\n- Proficiency in accounting software (e.g., QuickBooks, NetSuite) and Microsoft Excel.
\n- Demonstrated ability to leverage AI-powered tools (e.g., ChatGPT, Claude) to automate repetitive tasks, improve workflows, and increase productivity while maintaining accuracy and quality.
\n- Basic coding and scripting skills (e.g., Python) with the ability to build simple automations, analyze data, and integrate AI tools into day-to-day operations.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Excitement in supporting a fast-paced high-growth environment.
\n
\n
\n
Bonus/nice to have:
\n
\n- Startup/rapidly growing technology company experience.
\n- ERP/financial system implementation.
\n- Licensed CPA.
\n
\n
The US yearly salary range for this role is: $151,000 - $230,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n
Waabi provides a competitive benefits package that includes:
\n
\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy.
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Hardware","location":"Pittsburgh, PA","team":"Mechanical Engineering","allLocations":["Pittsburgh, PA","San Francisco, CA"]},"createdAt":1787603775348,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\nDecompose product guidance into use cases and functional requirements.\nBe responsible for architectures and requirements sets for assigned system-level areas as part of Hardware Development. \nWork closely with stakeholders and domain engineers to transform product guidance into design through every stage of the product development lifecycle.\nAuthor and maintain systems engineering artifacts to accelerate Hardware Development efforts.\nActively work to unblock multidisciplinary teams with new perspectives, requirements, and influence to ensure successful delivery of quality Hardware.\nUse data and engineering experience to qualify work products and arrive at a design compatible with the goals of the organization.\nFoster a culture of collaboration and learning within and between groups.\n \nQualifications:\nBachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, Mechatronics, or a related field and at least 4 years of experience or equivalent experience and advanced degrees for a total of 8 years related experience.\nStrong verbal and written communication skills to drive architecture and attribute trade decisions in multi-domain engineering environments.\nExperience in design, implementation, and test of complex systems with hardware and software components in complex, requirements-driven. industries such as aerospace, autonomous systems, or large scale computing infrastructure.\nExperience cultivating non-functional and quality attributes of system design such as Safety, Security, and other ‘built-in, not bolt-on’ characteristics.\nExpertise with systems engineering analysis methods and creating artifacts such as Activity Diagrams, Functional Decompositions, FMEAs, and test plans.\nGood technical risk sensitivity in order to make decisions with limited input and information.\nFamiliarity with decomposing industry standards into atomic, testable requirements; experience with Hardware Safety standards such as ISO 26262 or related standards is a plus.\nExperience with Model-based systems engineering methodologies and tools is a plus (e.g. Jama or Polarion).\nExperience with Requirements Management Database Systems and Requirements Management process is a plus.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will...
\n\n- Decompose product guidance into use cases and functional requirements.
\n- Be responsible for architectures and requirements sets for assigned system-level areas as part of Hardware Development.
\n- Work closely with stakeholders and domain engineers to transform product guidance into design through every stage of the product development lifecycle.
\n- Author and maintain systems engineering artifacts to accelerate Hardware Development efforts.
\n- Actively work to unblock multidisciplinary teams with new perspectives, requirements, and influence to ensure successful delivery of quality Hardware.
\n- Use data and engineering experience to qualify work products and arrive at a design compatible with the goals of the organization.
\n- Foster a culture of collaboration and learning within and between groups.
\n
\n
\nQualifications:
\n\n- Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, Mechatronics, or a related field and at least 4 years of experience or equivalent experience and advanced degrees for a total of 8 years related experience.
\n- Strong verbal and written communication skills to drive architecture and attribute trade decisions in multi-domain engineering environments.
\n- Experience in design, implementation, and test of complex systems with hardware and software components in complex, requirements-driven. industries such as aerospace, autonomous systems, or large scale computing infrastructure.
\n- Experience cultivating non-functional and quality attributes of system design such as Safety, Security, and other ‘built-in, not bolt-on’ characteristics.
\n- Expertise with systems engineering analysis methods and creating artifacts such as Activity Diagrams, Functional Decompositions, FMEAs, and test plans.
\n- Good technical risk sensitivity in order to make decisions with limited input and information.
\n- Familiarity with decomposing industry standards into atomic, testable requirements; experience with Hardware Safety standards such as ISO 26262 or related standards is a plus.
\n- Experience with Model-based systems engineering methodologies and tools is a plus (e.g. Jama or Polarion).
\n- Experience with Requirements Management Database Systems and Requirements Management process is a plus.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
","id":"2e649f85-4eea-41cd-a3c9-822bb122c3b1","lists":[],"text":"Senior HW Systems Engineer","country":"US","workplaceType":"onsite","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will...
\n\n- Decompose product guidance into use cases and functional requirements.
\n- Be responsible for architectures and requirements sets for assigned system-level areas as part of Hardware Development.
\n- Work closely with stakeholders and domain engineers to transform product guidance into design through every stage of the product development lifecycle.
\n- Author and maintain systems engineering artifacts to accelerate Hardware Development efforts.
\n- Actively work to unblock multidisciplinary teams with new perspectives, requirements, and influence to ensure successful delivery of quality Hardware.
\n- Use data and engineering experience to qualify work products and arrive at a design compatible with the goals of the organization.
\n- Foster a culture of collaboration and learning within and between groups.
\n
\n
\nQualifications:
\n\n- Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, Mechatronics, or a related field and at least 4 years of experience or equivalent experience and advanced degrees for a total of 8 years related experience.
\n- Strong verbal and written communication skills to drive architecture and attribute trade decisions in multi-domain engineering environments.
\n- Experience in design, implementation, and test of complex systems with hardware and software components in complex, requirements-driven. industries such as aerospace, autonomous systems, or large scale computing infrastructure.
\n- Experience cultivating non-functional and quality attributes of system design such as Safety, Security, and other ‘built-in, not bolt-on’ characteristics.
\n- Expertise with systems engineering analysis methods and creating artifacts such as Activity Diagrams, Functional Decompositions, FMEAs, and test plans.
\n- Good technical risk sensitivity in order to make decisions with limited input and information.
\n- Familiarity with decomposing industry standards into atomic, testable requirements; experience with Hardware Safety standards such as ISO 26262 or related standards is a plus.
\n- Experience with Model-based systems engineering methodologies and tools is a plus (e.g. Jama or Polarion).
\n- Experience with Requirements Management Database Systems and Requirements Management process is a plus.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
","descriptionBodyPlain":"You will...\nDecompose product guidance into use cases and functional requirements.\nBe responsible for architectures and requirements sets for assigned system-level areas as part of Hardware Development. \nWork closely with stakeholders and domain engineers to transform product guidance into design through every stage of the product development lifecycle.\nAuthor and maintain systems engineering artifacts to accelerate Hardware Development efforts.\nActively work to unblock multidisciplinary teams with new perspectives, requirements, and influence to ensure successful delivery of quality Hardware.\nUse data and engineering experience to qualify work products and arrive at a design compatible with the goals of the organization.\nFoster a culture of collaboration and learning within and between groups.\n \nQualifications:\nBachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, Mechatronics, or a related field and at least 4 years of experience or equivalent experience and advanced degrees for a total of 8 years related experience.\nStrong verbal and written communication skills to drive architecture and attribute trade decisions in multi-domain engineering environments.\nExperience in design, implementation, and test of complex systems with hardware and software components in complex, requirements-driven. industries such as aerospace, autonomous systems, or large scale computing infrastructure.\nExperience cultivating non-functional and quality attributes of system design such as Safety, Security, and other ‘built-in, not bolt-on’ characteristics.\nExpertise with systems engineering analysis methods and creating artifacts such as Activity Diagrams, Functional Decompositions, FMEAs, and test plans.\nGood technical risk sensitivity in order to make decisions with limited input and information.\nFamiliarity with decomposing industry standards into atomic, testable requirements; experience with Hardware Safety standards such as ISO 26262 or related standards is a plus.\nExperience with Model-based systems engineering methodologies and tools is a plus (e.g. Jama or Polarion).\nExperience with Requirements Management Database Systems and Requirements Management process is a plus.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n","hostedUrl":"https://jobs.lever.co/waabi/2e649f85-4eea-41cd-a3c9-822bb122c3b1","applyUrl":"https://jobs.lever.co/waabi/2e649f85-4eea-41cd-a3c9-822bb122c3b1/apply"},{"additionalPlain":"Perks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"The US yearly salary range for this role is: $117,000 - $172,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Dallas, TX","team":"Corporate IT","allLocations":["Dallas, TX"]},"createdAt":1784735207691,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
In light of our operational expansion and anticipated increase in activity in Texas, the recruitment of an on-site IT Engineer will help with the ramp up.
\n
\nThe Senior IT Engineer will be responsible for supporting critical IT initiatives such as Network upgrades, building and managing compute and storage clusters as well as providing essential on-vehicle technical assistance. Key responsibilities will include ensuring network stability, implementing security measures, automating system deployments, and offering dedicated support to the engineering and research teams. This strategic hire will help maintain operational efficiency and support the integration of advanced technologies within our expanding Texas operations.
\n
\nYou will:
\n\n- \n
Design and expand high-performance networks, computing, and storage.
\n \n- \n
Lead security initiatives and ensure compliance with security standards.
\n \n- \n
Oversee incident response planning and execution, ensuring timely and effective handling of security incidents.
\n \n- \n
Manage a fleet of linux servers including deployment, maintenance and upgrades.
\n \n- \n
Automate network and server deployments using Ansible, Terraform, etc.
\n \n- \n
Manage strict documentation of Network and Server infrastructure.
\n \n- \n
Work closely with Infrastructure, Compute, Support and Hardware teams
\n \n- \n
Coordinate closely with facility management to ensure HVAC, Cabling runs, UPS are functional.
\n \n- \n
Continuously look for opportunities to automate and improve systems.
\n \n- \n
You will be required to engage in physical activities with accommodation - lifting and moving material up to ~50 pounds.
\n \n
\n
\nQualifications:
\n\n- \n
Excellent communication skills with a customer service mindset.
\n \n- \n
Experience building high performance compute clusters.
\n \n- \n
Experience developing and scaling highly available storage clusters.
\n \n- \n
Experience with container orchestration
\n \n- \n
Experience working with multiple cloud providers AWS, GCP, Azure etc.
\n \n- \n
Open-minded and collaborative team player with the willingness to take ownership.
\n \n- \n
Proven experience establishing and automating IT processes.
\n \n- \n
Proven experience setting up multi-site, high throughput, scalable networks.
\n \n- \n
Experience managing hybrid device environments (Mac, Windows, Linux).
\n \n
\n
\nBonus:
\n\n- \n
Experience working in startups.
\n \n- \n
Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n \n
\n
\nRequirements: This position is an onsite position that will require onsite 5 days per week in Lancaster.
","id":"1f650d98-817f-496a-a8cc-34de319e8c4a","lists":[],"text":"Senior IT Administrator","country":"US","workplaceType":"onsite","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"In light of our operational expansion and anticipated increase in activity in Texas, the recruitment of an on-site IT Engineer will help with the ramp up.
\n
\nThe Senior IT Engineer will be responsible for supporting critical IT initiatives such as Network upgrades, building and managing compute and storage clusters as well as providing essential on-vehicle technical assistance. Key responsibilities will include ensuring network stability, implementing security measures, automating system deployments, and offering dedicated support to the engineering and research teams. This strategic hire will help maintain operational efficiency and support the integration of advanced technologies within our expanding Texas operations.
\n
\nYou will:
\n\n- \n
Design and expand high-performance networks, computing, and storage.
\n \n- \n
Lead security initiatives and ensure compliance with security standards.
\n \n- \n
Oversee incident response planning and execution, ensuring timely and effective handling of security incidents.
\n \n- \n
Manage a fleet of linux servers including deployment, maintenance and upgrades.
\n \n- \n
Automate network and server deployments using Ansible, Terraform, etc.
\n \n- \n
Manage strict documentation of Network and Server infrastructure.
\n \n- \n
Work closely with Infrastructure, Compute, Support and Hardware teams
\n \n- \n
Coordinate closely with facility management to ensure HVAC, Cabling runs, UPS are functional.
\n \n- \n
Continuously look for opportunities to automate and improve systems.
\n \n- \n
You will be required to engage in physical activities with accommodation - lifting and moving material up to ~50 pounds.
\n \n
\n
\nQualifications:
\n\n- \n
Excellent communication skills with a customer service mindset.
\n \n- \n
Experience building high performance compute clusters.
\n \n- \n
Experience developing and scaling highly available storage clusters.
\n \n- \n
Experience with container orchestration
\n \n- \n
Experience working with multiple cloud providers AWS, GCP, Azure etc.
\n \n- \n
Open-minded and collaborative team player with the willingness to take ownership.
\n \n- \n
Proven experience establishing and automating IT processes.
\n \n- \n
Proven experience setting up multi-site, high throughput, scalable networks.
\n \n- \n
Experience managing hybrid device environments (Mac, Windows, Linux).
\n \n
\n
\nBonus:
\n\n- \n
Experience working in startups.
\n \n- \n
Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n \n
\n
\nRequirements: This position is an onsite position that will require onsite 5 days per week in Lancaster.
","descriptionBodyPlain":"","hostedUrl":"https://jobs.lever.co/waabi/1f650d98-817f-496a-a8cc-34de319e8c4a","applyUrl":"https://jobs.lever.co/waabi/1f650d98-817f-496a-a8cc-34de319e8c4a/apply"},{"additionalPlain":"The CAD yearly salary range for this role is: $190,000 - $230,000 CAD in addition to competitive perks & benefits. Waabi CAD Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nCompetitive compensation and equity awards\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage\nUnlimited Vacation\nFlexible hours and Work from Home support\nDaily drinks, snacks and catered meals (when in office)\nRegularly scheduled team building activities and social events both on-site, off-site & virtually\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"The CAD yearly salary range for this role is: $190,000 - $230,000 CAD in addition to competitive perks & benefits. Waabi CAD Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage
\n- Unlimited Vacation
\n- Flexible hours and Work from Home support
\n- Daily drinks, snacks and catered meals (when in office)
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Policy","location":"Toronto, ON","team":"Policy and Public Affairs","allLocations":["Toronto, ON"]},"createdAt":1775006249477,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will…\nCultivate and maintain strategic relationships across Parliament, key federal ministries (e.g., Transport Canada, ISED), and all relevant provincial/territorial governments.\nTrack all relevant provincial and federal legislation and regulation and ensure Waabi's priorities are integrated into legislative and regulatory processes.\nBuild out a program to increase financial and operational support from the Canadian government.\nRepresent Waabi within key Canadian industry associations and coalitions, driving consensus and proactively shaping coalition policy positions on critical issues.\nLead and oversee the drafting and submission of regulatory comments on federal and provincial rule-makings.\nServe as the primary point of contact for all Canadian policy matters, reporting key developments and strategic recommendations to the Head of Policy.\n \nQualifications:\nProven track record working with federal and provincial ministries, including both political and civil service staff. \nDeep legislative and regulatory know-how at both the provincial and federal levels.\nExperience serving as a direct ambassador to Parliamentary offices, relevant federal/provincial ministry officials, and industry association leadership.\n10+ years of experience in Canadian government relations or public policy.\nTech or transportation industry experience.\n \nNice to have:\nFamiliarity with Autonomous Vehicle (AV) policy within the trucking or robotaxi industries.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
You will…
\n
\n- Cultivate and maintain strategic relationships across Parliament, key federal ministries (e.g., Transport Canada, ISED), and all relevant provincial/territorial governments.
\n- Track all relevant provincial and federal legislation and regulation and ensure Waabi's priorities are integrated into legislative and regulatory processes.
\n- Build out a program to increase financial and operational support from the Canadian government.
\n- Represent Waabi within key Canadian industry associations and coalitions, driving consensus and proactively shaping coalition policy positions on critical issues.
\n- Lead and oversee the drafting and submission of regulatory comments on federal and provincial rule-makings.
\n- Serve as the primary point of contact for all Canadian policy matters, reporting key developments and strategic recommendations to the Head of Policy.
\n
\n
\n
Qualifications:
\n
\n- Proven track record working with federal and provincial ministries, including both political and civil service staff.
\n- Deep legislative and regulatory know-how at both the provincial and federal levels.
\n- Experience serving as a direct ambassador to Parliamentary offices, relevant federal/provincial ministry officials, and industry association leadership.
\n- 10+ years of experience in Canadian government relations or public policy.
\n- Tech or transportation industry experience.
\n
\n
\n
\n
Nice to have:
\n
\n- Familiarity with Autonomous Vehicle (AV) policy within the trucking or robotaxi industries.
\n
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
You will…
\n
\n- Cultivate and maintain strategic relationships across Parliament, key federal ministries (e.g., Transport Canada, ISED), and all relevant provincial/territorial governments.
\n- Track all relevant provincial and federal legislation and regulation and ensure Waabi's priorities are integrated into legislative and regulatory processes.
\n- Build out a program to increase financial and operational support from the Canadian government.
\n- Represent Waabi within key Canadian industry associations and coalitions, driving consensus and proactively shaping coalition policy positions on critical issues.
\n- Lead and oversee the drafting and submission of regulatory comments on federal and provincial rule-makings.
\n- Serve as the primary point of contact for all Canadian policy matters, reporting key developments and strategic recommendations to the Head of Policy.
\n
\n
\n
Qualifications:
\n
\n- Proven track record working with federal and provincial ministries, including both political and civil service staff.
\n- Deep legislative and regulatory know-how at both the provincial and federal levels.
\n- Experience serving as a direct ambassador to Parliamentary offices, relevant federal/provincial ministry officials, and industry association leadership.
\n- 10+ years of experience in Canadian government relations or public policy.
\n- Tech or transportation industry experience.
\n
\n
\n
\n
Nice to have:
\n
\n- Familiarity with Autonomous Vehicle (AV) policy within the trucking or robotaxi industries.
\n
\n
The Canada salary range for this role is: $145,000 - $177,000 CAD in addition to competitive perks & benefits. Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all Canada locations. Note: The Company may provide additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Toronto, ON","team":"Corporate IT","allLocations":["Toronto, ON","Dallas, TX","Pittsburgh, PA"]},"createdAt":1789140943109,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will:\nOwn the design, deployment, and lifecycle management of Waabi's multi-site network (switching, routing, wireless, firewall) across all locations.\nLead ISP/bandwidth planning, ensuring redundant, appropriately sized throughput for all sites.\nManage network incident response and root-cause analysis; implement on-call coverage, escalation paths, and documented runbooks to minimize resolution time.\nAudit and harden network configurations (loop protection, storm control, STP, MC-LAG peer health) across all sites.\nDefine and enforce network hardware/firmware standards, replacing current ad-hoc per-site configurations.\nMaintain IP addressing, VLAN architecture, and workstation/server/security/guest segmentation.\nEvaluate and manage zero-trust remote access tooling (Tailscale, Cloudflare, Zscaler, etc.) to meet security and monitoring requirements.\nSupport vehicle connectivity in partnership with Product Infrastructure and Fleet teams.\nPartner with Engineering to ensure reliable, fast developer-facing network paths.\nScale our network to support high performing on-prem compute, storage clusters.\nCreate and maintain network documentation, topology diagrams, and disaster-recovery/escalation runbooks.\n\nQualifications:\nDeep knowledge of OSI model\nHands-on experience with enterprise switching, routing, and wireless platforms and lifecycle management.\nExperience operating firewalls, VPNs, and WAN optimization for multi-site organizations.\nFamiliarity with mesh/overlay VPN and zero-trust tools.\nExperience with IPAM and VLAN design across multiple sites.\nLinux proficiency and IaC tooling experience (Ansible, Puppet, Chef, Terraform).\nExperience with network monitoring, observability, and building on-call/incident-response processes.\nExcellent communication skills, comfortable leading postmortems and documenting technical/non-technical findings.\nCollaborative, resourceful mindset with a willingness to own responsibilities across sites.\nInterest in self-driving technology and scaling infrastructure.\n\nBonus:\nExperience with in-vehicle/industrial/OT networking and field hardware support.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will:
\n\n- Own the design, deployment, and lifecycle management of Waabi's multi-site network (switching, routing, wireless, firewall) across all locations.
\n- Lead ISP/bandwidth planning, ensuring redundant, appropriately sized throughput for all sites.
\n- Manage network incident response and root-cause analysis; implement on-call coverage, escalation paths, and documented runbooks to minimize resolution time.
\n- Audit and harden network configurations (loop protection, storm control, STP, MC-LAG peer health) across all sites.
\n- Define and enforce network hardware/firmware standards, replacing current ad-hoc per-site configurations.
\n- Maintain IP addressing, VLAN architecture, and workstation/server/security/guest segmentation.
\n- Evaluate and manage zero-trust remote access tooling (Tailscale, Cloudflare, Zscaler, etc.) to meet security and monitoring requirements.
\n- Support vehicle connectivity in partnership with Product Infrastructure and Fleet teams.
\n- Partner with Engineering to ensure reliable, fast developer-facing network paths.
\n- Scale our network to support high performing on-prem compute, storage clusters.
\n- Create and maintain network documentation, topology diagrams, and disaster-recovery/escalation runbooks.
\n
\nQualifications:
\n\n- Deep knowledge of OSI model
\n- Hands-on experience with enterprise switching, routing, and wireless platforms and lifecycle management.
\n- Experience operating firewalls, VPNs, and WAN optimization for multi-site organizations.
\n- Familiarity with mesh/overlay VPN and zero-trust tools.
\n- Experience with IPAM and VLAN design across multiple sites.
\n- Linux proficiency and IaC tooling experience (Ansible, Puppet, Chef, Terraform).
\n- Experience with network monitoring, observability, and building on-call/incident-response processes.
\n- Excellent communication skills, comfortable leading postmortems and documenting technical/non-technical findings.
\n- Collaborative, resourceful mindset with a willingness to own responsibilities across sites.
\n- Interest in self-driving technology and scaling infrastructure.
\n
\nBonus:
\n\n- Experience with in-vehicle/industrial/OT networking and field hardware support.
\n
","id":"611e0988-35aa-4463-ac94-e2a31a79355e","lists":[],"text":"Senior Network Engineer","country":"CA","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will:
\n\n- Own the design, deployment, and lifecycle management of Waabi's multi-site network (switching, routing, wireless, firewall) across all locations.
\n- Lead ISP/bandwidth planning, ensuring redundant, appropriately sized throughput for all sites.
\n- Manage network incident response and root-cause analysis; implement on-call coverage, escalation paths, and documented runbooks to minimize resolution time.
\n- Audit and harden network configurations (loop protection, storm control, STP, MC-LAG peer health) across all sites.
\n- Define and enforce network hardware/firmware standards, replacing current ad-hoc per-site configurations.
\n- Maintain IP addressing, VLAN architecture, and workstation/server/security/guest segmentation.
\n- Evaluate and manage zero-trust remote access tooling (Tailscale, Cloudflare, Zscaler, etc.) to meet security and monitoring requirements.
\n- Support vehicle connectivity in partnership with Product Infrastructure and Fleet teams.
\n- Partner with Engineering to ensure reliable, fast developer-facing network paths.
\n- Scale our network to support high performing on-prem compute, storage clusters.
\n- Create and maintain network documentation, topology diagrams, and disaster-recovery/escalation runbooks.
\n
\nQualifications:
\n\n- Deep knowledge of OSI model
\n- Hands-on experience with enterprise switching, routing, and wireless platforms and lifecycle management.
\n- Experience operating firewalls, VPNs, and WAN optimization for multi-site organizations.
\n- Familiarity with mesh/overlay VPN and zero-trust tools.
\n- Experience with IPAM and VLAN design across multiple sites.
\n- Linux proficiency and IaC tooling experience (Ansible, Puppet, Chef, Terraform).
\n- Experience with network monitoring, observability, and building on-call/incident-response processes.
\n- Excellent communication skills, comfortable leading postmortems and documenting technical/non-technical findings.
\n- Collaborative, resourceful mindset with a willingness to own responsibilities across sites.
\n- Interest in self-driving technology and scaling infrastructure.
\n
\nBonus:
\n\n- Experience with in-vehicle/industrial/OT networking and field hardware support.
\n
","descriptionBodyPlain":"You will:\nOwn the design, deployment, and lifecycle management of Waabi's multi-site network (switching, routing, wireless, firewall) across all locations.\nLead ISP/bandwidth planning, ensuring redundant, appropriately sized throughput for all sites.\nManage network incident response and root-cause analysis; implement on-call coverage, escalation paths, and documented runbooks to minimize resolution time.\nAudit and harden network configurations (loop protection, storm control, STP, MC-LAG peer health) across all sites.\nDefine and enforce network hardware/firmware standards, replacing current ad-hoc per-site configurations.\nMaintain IP addressing, VLAN architecture, and workstation/server/security/guest segmentation.\nEvaluate and manage zero-trust remote access tooling (Tailscale, Cloudflare, Zscaler, etc.) to meet security and monitoring requirements.\nSupport vehicle connectivity in partnership with Product Infrastructure and Fleet teams.\nPartner with Engineering to ensure reliable, fast developer-facing network paths.\nScale our network to support high performing on-prem compute, storage clusters.\nCreate and maintain network documentation, topology diagrams, and disaster-recovery/escalation runbooks.\n\nQualifications:\nDeep knowledge of OSI model\nHands-on experience with enterprise switching, routing, and wireless platforms and lifecycle management.\nExperience operating firewalls, VPNs, and WAN optimization for multi-site organizations.\nFamiliarity with mesh/overlay VPN and zero-trust tools.\nExperience with IPAM and VLAN design across multiple sites.\nLinux proficiency and IaC tooling experience (Ansible, Puppet, Chef, Terraform).\nExperience with network monitoring, observability, and building on-call/incident-response processes.\nExcellent communication skills, comfortable leading postmortems and documenting technical/non-technical findings.\nCollaborative, resourceful mindset with a willingness to own responsibilities across sites.\nInterest in self-driving technology and scaling infrastructure.\n\nBonus:\nExperience with in-vehicle/industrial/OT networking and field hardware support.\n","hostedUrl":"https://jobs.lever.co/waabi/611e0988-35aa-4463-ac94-e2a31a79355e","applyUrl":"https://jobs.lever.co/waabi/611e0988-35aa-4463-ac94-e2a31a79355e/apply"},{"additionalPlain":"The US yearly salary range for this role is: $100,300 - $200,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"The US yearly salary range for this role is: $100,300 - $200,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Product","location":"San Francisco, CA","team":"Product & Technical Program Mgmt","allLocations":["San Francisco, CA","Toronto, ON","Remote US & Canada"]},"createdAt":1788439778859,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWe're seeking a Senior Product Designer to own the human-in-the-loop workflows at the core of how Waabi turns raw driving data into a safer autonomy stack: the software environments where expert human judgment and automation work as one to make every engineer, analyst, operator, and researcher faster.\n \nThese are the workflows where a human expert and an automated system have to move together: data labeling, map annotation, track testing, and release testing. Your job is to design the environments that make that collaboration fast and high-signal, and then bring shared patterns into the design system for compounding returns across every internal and partner-facing surface.\n \nYou'll join as the third product designer at Waabi, sitting on the Product, Design & TPM team. You'll be the systems-minded builder who turns one-off UI work into compounding returns across the whole platform.\n \nYou will…\nDesign data labeling and annotation workflows. You'll design the tools for data curation, internal lightweight labeling, QA, and the feedback loops that connect label quality to model performance. Today this work lives in many surfaces, and your goal will be to unify the workflows to accelerate training data throughput and quality, to continually improve autonomy safety at scale.\nDesign data discovery surfaces and annotation tools. Grow the primary tools for finding, filtering, and curating AV data across logs, events, simulations, and labels. You'll help design the experience that lets triage analysts, systems engineers, autonomy engineers, and ML researchers navigate petabytes of driving and simulated data. You'll also own the design for our map annotation tooling: task management, branch/merge workflows, annotator feedback loops, defect logging, and urban surface street annotation as Waabi expands from highway trucking to urban robotaxi deployments.\nGround the work in research. Get out of the tools and into the workflows. Shadow labelers, annotators, triage analysts, and right-seaters in their real environment. Produce qualitative and quantitative insight on where time and signal are lost, and disseminate it so the whole team designs from the same picture of the user.\nBuild and scale Waabi's design system. Work with designers and full-stack engineers to take our nascent system and turn it into a robust, branded component system. This means complex, reusable components: timeline scrubbers, rich multi-select filters, pass/fail summary cards, map visualization primitives, data tables with inline actions. These components serve triage, metrics dashboards, data exploration, mapping, fleet ops, and partner-facing UI.\nEstablish front-end and design infrastructure for tooling self-service. Build the context architecture that lets teams build their own UI with UX best practices baked in. Enable robust prototyping with read-only or snapshot data so teams can iterate without touching production.\nShip directly in code. You'll contribute to production React codebases using AI-assisted tools. The shipped product is the deliverable, not a Figma handoff.\n \nQualifications\nData-centric workflow designer who builds in code. 5-8+ years designing complex, data-rich tools where the primary interface is structured data: tables, filters, search, dashboards, maps, or annotation tools. You see the cross-tool workflow as your unit of work, not the single screen. You can make dense information scannable and actionable without dumbing it down, and you validate by building working prototypes on real data, not static mocks.\nDesign-system builder. You think in components, tokens, patterns, and infrastructure, and see the reusable primitive inside every one-off request. You've built or significantly grown a design system, and you understand the difference between a component library and a design system: tokens, documentation, governance, adoption, and the political work of supporting engineers to use it.\nAI-native builder. You use AI-assisted coding (Cursor, Claude Code, or a similar agentic setup) as a default part of how you prototype and ship, not a novelty. It's how you get from idea to working software fast.\nFirst-principles thinker. You strip problems down to their fundamentals. The tools you'll design have no off-the-shelf pattern to copy. Curation workflows, map annotation, track test playlist management, data lineage visualization: these require you to understand the domain deeply and invent the right interaction model.\nStrong front-end intuition. You don't need to be a senior React engineer, but you understand component architecture, state management, and the constraints of web-based data visualization well enough to design things that are buildable and performant.\nInfrastructure mindset. You're energized by the meta-problem: how do we make everyone faster? You see AGENTS.md files, context documentation, and component APIs as design deliverables, not overhead.\nBonus / Nice to Have\nAdvanced AI-assisted workflows. Custom agentic setups, and real opinions about how AI changes the relationship between design systems and self-service UI.\nGIS or mapping tools background. Experience with map annotation, geospatial data, or tools like Mapbox, QGIS, or proprietary mapping tools.\nData platform or ML tooling experience. Prior work designing labeling tools, data curation interfaces, dataset management, or ML experiment tracking.\nDesign system at scale. You've maintained a system used by 10+ engineers across multiple product surfaces and dealt with the versioning, adoption, and governance challenges that come with it.\nAV, robotics, or safety-critical domains. Prior experience where the quality of tooling directly impacts physical safety.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
We're seeking a Senior Product Designer to own the human-in-the-loop workflows at the core of how Waabi turns raw driving data into a safer autonomy stack: the software environments where expert human judgment and automation work as one to make every engineer, analyst, operator, and researcher faster.
\n
\nThese are the workflows where a human expert and an automated system have to move together: data labeling, map annotation, track testing, and release testing. Your job is to design the environments that make that collaboration fast and high-signal, and then bring shared patterns into the design system for compounding returns across every internal and partner-facing surface.
\n
\nYou'll join as the third product designer at Waabi, sitting on the Product, Design & TPM team. You'll be the systems-minded builder who turns one-off UI work into compounding returns across the whole platform.
\n
\nYou will…
\n\n- \n
Design data labeling and annotation workflows. You'll design the tools for data curation, internal lightweight labeling, QA, and the feedback loops that connect label quality to model performance. Today this work lives in many surfaces, and your goal will be to unify the workflows to accelerate training data throughput and quality, to continually improve autonomy safety at scale.
\n \n- \n
Design data discovery surfaces and annotation tools. Grow the primary tools for finding, filtering, and curating AV data across logs, events, simulations, and labels. You'll help design the experience that lets triage analysts, systems engineers, autonomy engineers, and ML researchers navigate petabytes of driving and simulated data. You'll also own the design for our map annotation tooling: task management, branch/merge workflows, annotator feedback loops, defect logging, and urban surface street annotation as Waabi expands from highway trucking to urban robotaxi deployments.
\n \n- \n
Ground the work in research. Get out of the tools and into the workflows. Shadow labelers, annotators, triage analysts, and right-seaters in their real environment. Produce qualitative and quantitative insight on where time and signal are lost, and disseminate it so the whole team designs from the same picture of the user.
\n \n- \n
Build and scale Waabi's design system. Work with designers and full-stack engineers to take our nascent system and turn it into a robust, branded component system. This means complex, reusable components: timeline scrubbers, rich multi-select filters, pass/fail summary cards, map visualization primitives, data tables with inline actions. These components serve triage, metrics dashboards, data exploration, mapping, fleet ops, and partner-facing UI.
\n \n- \n
Establish front-end and design infrastructure for tooling self-service. Build the context architecture that lets teams build their own UI with UX best practices baked in. Enable robust prototyping with read-only or snapshot data so teams can iterate without touching production.
\n \n- \n
Ship directly in code. You'll contribute to production React codebases using AI-assisted tools. The shipped product is the deliverable, not a Figma handoff.
\n \n
\n
\nQualifications
\n\n- \n
Data-centric workflow designer who builds in code. 5-8+ years designing complex, data-rich tools where the primary interface is structured data: tables, filters, search, dashboards, maps, or annotation tools. You see the cross-tool workflow as your unit of work, not the single screen. You can make dense information scannable and actionable without dumbing it down, and you validate by building working prototypes on real data, not static mocks.
\n \n- \n
Design-system builder. You think in components, tokens, patterns, and infrastructure, and see the reusable primitive inside every one-off request. You've built or significantly grown a design system, and you understand the difference between a component library and a design system: tokens, documentation, governance, adoption, and the political work of supporting engineers to use it.
\n \n- \n
AI-native builder. You use AI-assisted coding (Cursor, Claude Code, or a similar agentic setup) as a default part of how you prototype and ship, not a novelty. It's how you get from idea to working software fast.
\n \n- \n
First-principles thinker. You strip problems down to their fundamentals. The tools you'll design have no off-the-shelf pattern to copy. Curation workflows, map annotation, track test playlist management, data lineage visualization: these require you to understand the domain deeply and invent the right interaction model.
\n \n- \n
Strong front-end intuition. You don't need to be a senior React engineer, but you understand component architecture, state management, and the constraints of web-based data visualization well enough to design things that are buildable and performant.
\n \n- \n
Infrastructure mindset. You're energized by the meta-problem: how do we make everyone faster? You see AGENTS.md files, context documentation, and component APIs as design deliverables, not overhead.
\n \n
\nBonus / Nice to Have
\n\n- \n
Advanced AI-assisted workflows. Custom agentic setups, and real opinions about how AI changes the relationship between design systems and self-service UI.
\n \n- \n
GIS or mapping tools background. Experience with map annotation, geospatial data, or tools like Mapbox, QGIS, or proprietary mapping tools.
\n \n- \n
Data platform or ML tooling experience. Prior work designing labeling tools, data curation interfaces, dataset management, or ML experiment tracking.
\n \n- \n
Design system at scale. You've maintained a system used by 10+ engineers across multiple product surfaces and dealt with the versioning, adoption, and governance challenges that come with it.
\n \n- \n
AV, robotics, or safety-critical domains. Prior experience where the quality of tooling directly impacts physical safety.
\n \n
","id":"5e2c25f8-150e-46bf-95a7-71ed8cb246a8","lists":[],"text":"Senior Product Designer, Autonomy Data & Tooling","country":"US","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"We're seeking a Senior Product Designer to own the human-in-the-loop workflows at the core of how Waabi turns raw driving data into a safer autonomy stack: the software environments where expert human judgment and automation work as one to make every engineer, analyst, operator, and researcher faster.
\n
\nThese are the workflows where a human expert and an automated system have to move together: data labeling, map annotation, track testing, and release testing. Your job is to design the environments that make that collaboration fast and high-signal, and then bring shared patterns into the design system for compounding returns across every internal and partner-facing surface.
\n
\nYou'll join as the third product designer at Waabi, sitting on the Product, Design & TPM team. You'll be the systems-minded builder who turns one-off UI work into compounding returns across the whole platform.
\n
\nYou will…
\n\n- \n
Design data labeling and annotation workflows. You'll design the tools for data curation, internal lightweight labeling, QA, and the feedback loops that connect label quality to model performance. Today this work lives in many surfaces, and your goal will be to unify the workflows to accelerate training data throughput and quality, to continually improve autonomy safety at scale.
\n \n- \n
Design data discovery surfaces and annotation tools. Grow the primary tools for finding, filtering, and curating AV data across logs, events, simulations, and labels. You'll help design the experience that lets triage analysts, systems engineers, autonomy engineers, and ML researchers navigate petabytes of driving and simulated data. You'll also own the design for our map annotation tooling: task management, branch/merge workflows, annotator feedback loops, defect logging, and urban surface street annotation as Waabi expands from highway trucking to urban robotaxi deployments.
\n \n- \n
Ground the work in research. Get out of the tools and into the workflows. Shadow labelers, annotators, triage analysts, and right-seaters in their real environment. Produce qualitative and quantitative insight on where time and signal are lost, and disseminate it so the whole team designs from the same picture of the user.
\n \n- \n
Build and scale Waabi's design system. Work with designers and full-stack engineers to take our nascent system and turn it into a robust, branded component system. This means complex, reusable components: timeline scrubbers, rich multi-select filters, pass/fail summary cards, map visualization primitives, data tables with inline actions. These components serve triage, metrics dashboards, data exploration, mapping, fleet ops, and partner-facing UI.
\n \n- \n
Establish front-end and design infrastructure for tooling self-service. Build the context architecture that lets teams build their own UI with UX best practices baked in. Enable robust prototyping with read-only or snapshot data so teams can iterate without touching production.
\n \n- \n
Ship directly in code. You'll contribute to production React codebases using AI-assisted tools. The shipped product is the deliverable, not a Figma handoff.
\n \n
\n
\nQualifications
\n\n- \n
Data-centric workflow designer who builds in code. 5-8+ years designing complex, data-rich tools where the primary interface is structured data: tables, filters, search, dashboards, maps, or annotation tools. You see the cross-tool workflow as your unit of work, not the single screen. You can make dense information scannable and actionable without dumbing it down, and you validate by building working prototypes on real data, not static mocks.
\n \n- \n
Design-system builder. You think in components, tokens, patterns, and infrastructure, and see the reusable primitive inside every one-off request. You've built or significantly grown a design system, and you understand the difference between a component library and a design system: tokens, documentation, governance, adoption, and the political work of supporting engineers to use it.
\n \n- \n
AI-native builder. You use AI-assisted coding (Cursor, Claude Code, or a similar agentic setup) as a default part of how you prototype and ship, not a novelty. It's how you get from idea to working software fast.
\n \n- \n
First-principles thinker. You strip problems down to their fundamentals. The tools you'll design have no off-the-shelf pattern to copy. Curation workflows, map annotation, track test playlist management, data lineage visualization: these require you to understand the domain deeply and invent the right interaction model.
\n \n- \n
Strong front-end intuition. You don't need to be a senior React engineer, but you understand component architecture, state management, and the constraints of web-based data visualization well enough to design things that are buildable and performant.
\n \n- \n
Infrastructure mindset. You're energized by the meta-problem: how do we make everyone faster? You see AGENTS.md files, context documentation, and component APIs as design deliverables, not overhead.
\n \n
\nBonus / Nice to Have
\n\n- \n
Advanced AI-assisted workflows. Custom agentic setups, and real opinions about how AI changes the relationship between design systems and self-service UI.
\n \n- \n
GIS or mapping tools background. Experience with map annotation, geospatial data, or tools like Mapbox, QGIS, or proprietary mapping tools.
\n \n- \n
Data platform or ML tooling experience. Prior work designing labeling tools, data curation interfaces, dataset management, or ML experiment tracking.
\n \n- \n
Design system at scale. You've maintained a system used by 10+ engineers across multiple product surfaces and dealt with the versioning, adoption, and governance challenges that come with it.
\n \n- \n
AV, robotics, or safety-critical domains. Prior experience where the quality of tooling directly impacts physical safety.
\n \n
","descriptionBodyPlain":"We're seeking a Senior Product Designer to own the human-in-the-loop workflows at the core of how Waabi turns raw driving data into a safer autonomy stack: the software environments where expert human judgment and automation work as one to make every engineer, analyst, operator, and researcher faster.\n \nThese are the workflows where a human expert and an automated system have to move together: data labeling, map annotation, track testing, and release testing. Your job is to design the environments that make that collaboration fast and high-signal, and then bring shared patterns into the design system for compounding returns across every internal and partner-facing surface.\n \nYou'll join as the third product designer at Waabi, sitting on the Product, Design & TPM team. You'll be the systems-minded builder who turns one-off UI work into compounding returns across the whole platform.\n \nYou will…\nDesign data labeling and annotation workflows. You'll design the tools for data curation, internal lightweight labeling, QA, and the feedback loops that connect label quality to model performance. Today this work lives in many surfaces, and your goal will be to unify the workflows to accelerate training data throughput and quality, to continually improve autonomy safety at scale.\nDesign data discovery surfaces and annotation tools. Grow the primary tools for finding, filtering, and curating AV data across logs, events, simulations, and labels. You'll help design the experience that lets triage analysts, systems engineers, autonomy engineers, and ML researchers navigate petabytes of driving and simulated data. You'll also own the design for our map annotation tooling: task management, branch/merge workflows, annotator feedback loops, defect logging, and urban surface street annotation as Waabi expands from highway trucking to urban robotaxi deployments.\nGround the work in research. Get out of the tools and into the workflows. Shadow labelers, annotators, triage analysts, and right-seaters in their real environment. Produce qualitative and quantitative insight on where time and signal are lost, and disseminate it so the whole team designs from the same picture of the user.\nBuild and scale Waabi's design system. Work with designers and full-stack engineers to take our nascent system and turn it into a robust, branded component system. This means complex, reusable components: timeline scrubbers, rich multi-select filters, pass/fail summary cards, map visualization primitives, data tables with inline actions. These components serve triage, metrics dashboards, data exploration, mapping, fleet ops, and partner-facing UI.\nEstablish front-end and design infrastructure for tooling self-service. Build the context architecture that lets teams build their own UI with UX best practices baked in. Enable robust prototyping with read-only or snapshot data so teams can iterate without touching production.\nShip directly in code. You'll contribute to production React codebases using AI-assisted tools. The shipped product is the deliverable, not a Figma handoff.\n \nQualifications\nData-centric workflow designer who builds in code. 5-8+ years designing complex, data-rich tools where the primary interface is structured data: tables, filters, search, dashboards, maps, or annotation tools. You see the cross-tool workflow as your unit of work, not the single screen. You can make dense information scannable and actionable without dumbing it down, and you validate by building working prototypes on real data, not static mocks.\nDesign-system builder. You think in components, tokens, patterns, and infrastructure, and see the reusable primitive inside every one-off request. You've built or significantly grown a design system, and you understand the difference between a component library and a design system: tokens, documentation, governance, adoption, and the political work of supporting engineers to use it.\nAI-native builder. You use AI-assisted coding (Cursor, Claude Code, or a similar agentic setup) as a default part of how you prototype and ship, not a novelty. It's how you get from idea to working software fast.\nFirst-principles thinker. You strip problems down to their fundamentals. The tools you'll design have no off-the-shelf pattern to copy. Curation workflows, map annotation, track test playlist management, data lineage visualization: these require you to understand the domain deeply and invent the right interaction model.\nStrong front-end intuition. You don't need to be a senior React engineer, but you understand component architecture, state management, and the constraints of web-based data visualization well enough to design things that are buildable and performant.\nInfrastructure mindset. You're energized by the meta-problem: how do we make everyone faster? You see AGENTS.md files, context documentation, and component APIs as design deliverables, not overhead.\nBonus / Nice to Have\nAdvanced AI-assisted workflows. Custom agentic setups, and real opinions about how AI changes the relationship between design systems and self-service UI.\nGIS or mapping tools background. Experience with map annotation, geospatial data, or tools like Mapbox, QGIS, or proprietary mapping tools.\nData platform or ML tooling experience. Prior work designing labeling tools, data curation interfaces, dataset management, or ML experiment tracking.\nDesign system at scale. You've maintained a system used by 10+ engineers across multiple product surfaces and dealt with the versioning, adoption, and governance challenges that come with it.\nAV, robotics, or safety-critical domains. Prior experience where the quality of tooling directly impacts physical safety.\n","hostedUrl":"https://jobs.lever.co/waabi/5e2c25f8-150e-46bf-95a7-71ed8cb246a8","applyUrl":"https://jobs.lever.co/waabi/5e2c25f8-150e-46bf-95a7-71ed8cb246a8/apply"},{"additionalPlain":"The US yearly salary range for this role is: $170,000 - $220,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"The US yearly salary range for this role is: $170,000 - $220,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Remote US & Canada","team":"Autonomy & Algorithms","allLocations":["Remote US & Canada","Dallas, TX","Phoenix, AZ","Pittsburgh, PA","San Francisco, CA","Toronto, ON"]},"createdAt":1774892255261,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\n- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning.\n- Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system.\n- Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks.\n- Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment.\n\nQualifications:\n- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.\n- 3+ years of experience developing solutions in ML systems or the ML software stack.\n- Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads.\n- Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference.\n- Proficient in Python with a track record of writing high-quality, well-structured, and well-tested \"production-grade\" code.\n- Open-minded and collaborative team player with the willingness to help others.\n \nBonus/nice to have:\n- Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models.\n- Experience working with large Vision-Language Models (VLMs)\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will...
\n- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning.
\n- Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system.
\n- Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks.
\n- Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment.
\nQualifications:
\n- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.
\n- 3+ years of experience developing solutions in ML systems or the ML software stack.
\n- Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads.
\n- Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference.
\n- Proficient in Python with a track record of writing high-quality, well-structured, and well-tested \"production-grade\" code.
\n- Open-minded and collaborative team player with the willingness to help others.
\n
\nBonus/nice to have:
\n- Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models.
\n- Experience working with large Vision-Language Models (VLMs)
","id":"d8a47942-30fd-4e7e-815c-150d2ddd0cc7","lists":[],"text":"Senior Software Engineer, Auto Labelling","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will...
\n- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning.
\n- Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system.
\n- Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks.
\n- Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment.
\nQualifications:
\n- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.
\n- 3+ years of experience developing solutions in ML systems or the ML software stack.
\n- Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads.
\n- Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference.
\n- Proficient in Python with a track record of writing high-quality, well-structured, and well-tested \"production-grade\" code.
\n- Open-minded and collaborative team player with the willingness to help others.
\n
\nBonus/nice to have:
\n- Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models.
\n- Experience working with large Vision-Language Models (VLMs)
","descriptionBodyPlain":"You will...\n- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning.\n- Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system.\n- Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks.\n- Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment.\n\nQualifications:\n- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.\n- 3+ years of experience developing solutions in ML systems or the ML software stack.\n- Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads.\n- Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference.\n- Proficient in Python with a track record of writing high-quality, well-structured, and well-tested \"production-grade\" code.\n- Open-minded and collaborative team player with the willingness to help others.\n \nBonus/nice to have:\n- Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models.\n- Experience working with large Vision-Language Models (VLMs)\n","country":null,"hostedUrl":"https://jobs.lever.co/waabi/d8a47942-30fd-4e7e-815c-150d2ddd0cc7","applyUrl":"https://jobs.lever.co/waabi/d8a47942-30fd-4e7e-815c-150d2ddd0cc7/apply"},{"additionalPlain":"The US yearly salary range for this role is: $127,000 - $223,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"\n
The US yearly salary range for this role is: $127,000 - $223,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
\n
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Toronto, ON","team":"Autonomy & Algorithms","allLocations":["Toronto, ON","San Francisco, CA","Remote US & Canada"]},"createdAt":1774550435208,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nThe Evaluation Algorithms team is responsible for building the algorithms & tooling required to comprehensively evaluate our autonomy system’s performance across all development stages. In this role, you will work closely with the systems & safety teams, responsible for defining the requirements & evaluation criteria, and simulation teams to leverage Waabi World, our highly realistic closed-loop simulation engine built with the latest in generative AI technologies to deliver the evaluation capabilities needed to support the safe development of the next generation of autonomous vehicles!\n \nYou will…\n- Develop the tooling, infrastructure, and pipelines to support complex statistical analyses of driving performance scale. \n- Implement metrics and tags to provide a holistic understanding of model performance and enable the discovery of interesting scenarios for training and evaluation.\n- Develop and maintain a high availability query service to enable low-latency analysis and curation over large volumes of metric and tag data\n- Work with large datasets from various sources including real world driving as well as Waabi World, our high-fidelity simulator.\n- Champion engineering excellence, ensuring high-quality, well structured and tested code.\n- Assist in project roadmap planning, prioritisation, and delivery.\n \nQualifications: \n- MS/Bachelors degree with 2+ years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.\n- Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code. \n- Open-minded and collaborative team player with the willingness to help others.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus Points:\n- Experience in data processing pipelines, ETL pipelines, distributed computing.\n- Experience in building highly reliable and scalable web services\n- Understanding of cloud job orchestration, monitoring, and instrumentation best-practices.\n- Experience in evaluating complex ML models or self-driving software stacks. \n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
The Evaluation Algorithms team is responsible for building the algorithms & tooling required to comprehensively evaluate our autonomy system’s performance across all development stages. In this role, you will work closely with the systems & safety teams, responsible for defining the requirements & evaluation criteria, and simulation teams to leverage Waabi World, our highly realistic closed-loop simulation engine built with the latest in generative AI technologies to deliver the evaluation capabilities needed to support the safe development of the next generation of autonomous vehicles!
\n
\n
You will…
\n
- Develop the tooling, infrastructure, and pipelines to support complex statistical analyses of driving performance scale.
\n
- Implement metrics and tags to provide a holistic understanding of model performance and enable the discovery of interesting scenarios for training and evaluation.
\n
- Develop and maintain a high availability query service to enable low-latency analysis and curation over large volumes of metric and tag data
\n
- Work with large datasets from various sources including real world driving as well as Waabi World, our high-fidelity simulator.
\n
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
\n
- Assist in project roadmap planning, prioritisation, and delivery.
\n
\n
Qualifications:
\n
- MS/Bachelors degree with 2+ years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.
\n
- Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.
\n
- Open-minded and collaborative team player with the willingness to help others.
\n
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
Bonus Points:
\n
- Experience in data processing pipelines, ETL pipelines, distributed computing.
\n
- Experience in building highly reliable and scalable web services
\n
- Understanding of cloud job orchestration, monitoring, and instrumentation best-practices.
\n
- Experience in evaluating complex ML models or self-driving software stacks.
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
The Evaluation Algorithms team is responsible for building the algorithms & tooling required to comprehensively evaluate our autonomy system’s performance across all development stages. In this role, you will work closely with the systems & safety teams, responsible for defining the requirements & evaluation criteria, and simulation teams to leverage Waabi World, our highly realistic closed-loop simulation engine built with the latest in generative AI technologies to deliver the evaluation capabilities needed to support the safe development of the next generation of autonomous vehicles!
\n
\n
You will…
\n
- Develop the tooling, infrastructure, and pipelines to support complex statistical analyses of driving performance scale.
\n
- Implement metrics and tags to provide a holistic understanding of model performance and enable the discovery of interesting scenarios for training and evaluation.
\n
- Develop and maintain a high availability query service to enable low-latency analysis and curation over large volumes of metric and tag data
\n
- Work with large datasets from various sources including real world driving as well as Waabi World, our high-fidelity simulator.
\n
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
\n
- Assist in project roadmap planning, prioritisation, and delivery.
\n
\n
Qualifications:
\n
- MS/Bachelors degree with 2+ years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.
\n
- Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.
\n
- Open-minded and collaborative team player with the willingness to help others.
\n
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
Bonus Points:
\n
- Experience in data processing pipelines, ETL pipelines, distributed computing.
\n
- Experience in building highly reliable and scalable web services
\n
- Understanding of cloud job orchestration, monitoring, and instrumentation best-practices.
\n
- Experience in evaluating complex ML models or self-driving software stacks.
\n
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Hardware","location":"Remote US","team":"Sensors","allLocations":["Remote US","Pittsburgh, PA","San Francisco, CA","Dallas, TX","Phoenix, AZ"]},"createdAt":1781114993344,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\nSensor Development\nResponsible for driving the technical direction and creating the overall strategy/roadmap for Waabi.\nDeveloping a technical plan that aligns with the development of the Waabi Driver over multiple generations and stages of maturity for different verticals.\nSensor Evaluation and Requirements\nMaintain strategic technical relationships with all sensor vendors to stay informed on the latest technologies and options.\nLead the comprehensive testing and evaluation of new sensor samples utilizing test fixtures and the Sensor Mule vehicle along with the development of the related tooling to support.\nDrive the development of Waabi Sensor Requirements in collaboration with the Systems and Hardware Systems teams.\nIntegration and Optimization\nOversee the entire sensor integration pipeline, ensuring raw data is correctly ingested into the compute platform.\nManage sensor configuration to align with optimized settings (resolution, frame rate, FOV) provided by the Autonomy & AI team.\nHealth, Reliability, and Safety\nImplement systems for monitoring data integrity, identifying issues such as corrupt data, latency, or environmental interference.\nDefine standards for what constitutes a ‘clean sensor’ and develop validation methods, supporting the development of event-based cleaning triggers in coordination with Autonomy & AI.\nWork closely with Autonomy & AI on application-level monitoring of data quality to support overall autonomy performance.\nCross-Functional Leadership\nCollaborate with the Sim team to build accurate sensor simulation models and validate them through rigorous testing.\nProvide technical direction and leadership to the team, ensuring cohesion and alignment with the overarching technical strategy.\nQualifications:\n10+ years of experience in related hands-on experience with Lidar, Radar and Camera, preferably in autonomous vehicles or robotics.\n5+ years in a leadership role\nBachelor’s of Science in Mechanical Engineering, Optical Engineering, Electrical Engineering, Physics, Mechatronics, Computer Science, or a related field.\nProven experience in leading technical teams in sensor development, validation, or integration for complex systems.\nDeep technical knowledge of automotive or robotics sensors (Lidar, Radar, Cameras).\nDemonstrated ability to drive technical strategy and roadmap development.\nExperience in developing sensor requirements and managing vendor relationships.\nStrong problem-solving skills and meticulous attention to detail.\nExcellent written and verbal communication skills.\nAbility to work independently and collaboratively in a fast-paced, dynamic environment.\nOpen-minded and collaborative team player with a willingness to assist others.\nPassionate about self-driving technologies, tackling complex problems, and creating innovative solutions.\nBonus/nice to have:\nExperience with GNSS and/or IMU.\nTechnical experience in developing self-driving vehicles.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will...\n
\n- Sensor Development\n
\n- Responsible for driving the technical direction and creating the overall strategy/roadmap for Waabi.
\n- Developing a technical plan that aligns with the development of the Waabi Driver over multiple generations and stages of maturity for different verticals.
\n
\n \n- Sensor Evaluation and Requirements\n
\n- Maintain strategic technical relationships with all sensor vendors to stay informed on the latest technologies and options.
\n- Lead the comprehensive testing and evaluation of new sensor samples utilizing test fixtures and the Sensor Mule vehicle along with the development of the related tooling to support.
\n- Drive the development of Waabi Sensor Requirements in collaboration with the Systems and Hardware Systems teams.
\n
\n \n- Integration and Optimization\n
\n- Oversee the entire sensor integration pipeline, ensuring raw data is correctly ingested into the compute platform.
\n- Manage sensor configuration to align with optimized settings (resolution, frame rate, FOV) provided by the Autonomy & AI team.
\n
\n \n- Health, Reliability, and Safety\n
\n- Implement systems for monitoring data integrity, identifying issues such as corrupt data, latency, or environmental interference.
\n- Define standards for what constitutes a ‘clean sensor’ and develop validation methods, supporting the development of event-based cleaning triggers in coordination with Autonomy & AI.
\n- Work closely with Autonomy & AI on application-level monitoring of data quality to support overall autonomy performance.
\n
\n \n- Cross-Functional Leadership\n
\n- Collaborate with the Sim team to build accurate sensor simulation models and validate them through rigorous testing.
\n- Provide technical direction and leadership to the team, ensuring cohesion and alignment with the overarching technical strategy.
\n
\n \n
\n
Qualifications:\n
\n- 10+ years of experience in related hands-on experience with Lidar, Radar and Camera, preferably in autonomous vehicles or robotics.
\n- 5+ years in a leadership role
\n- Bachelor’s of Science in Mechanical Engineering, Optical Engineering, Electrical Engineering, Physics, Mechatronics, Computer Science, or a related field.
\n- Proven experience in leading technical teams in sensor development, validation, or integration for complex systems.
\n- Deep technical knowledge of automotive or robotics sensors (Lidar, Radar, Cameras).
\n- Demonstrated ability to drive technical strategy and roadmap development.
\n- Experience in developing sensor requirements and managing vendor relationships.
\n- Strong problem-solving skills and meticulous attention to detail.
\n- Excellent written and verbal communication skills.
\n- Ability to work independently and collaboratively in a fast-paced, dynamic environment.
\n- Open-minded and collaborative team player with a willingness to assist others.
\n- Passionate about self-driving technologies, tackling complex problems, and creating innovative solutions.
\n
\n
Bonus/nice to have:\n
\n- Experience with GNSS and/or IMU.
\n- Technical experience in developing self-driving vehicles.
\n
\n
\n
","id":"80ba4ee8-21c9-4e44-a6b4-72677d814fca","lists":[],"text":"Sensors Team Lead","country":"US","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will...\n
\n- Sensor Development\n
\n- Responsible for driving the technical direction and creating the overall strategy/roadmap for Waabi.
\n- Developing a technical plan that aligns with the development of the Waabi Driver over multiple generations and stages of maturity for different verticals.
\n
\n \n- Sensor Evaluation and Requirements\n
\n- Maintain strategic technical relationships with all sensor vendors to stay informed on the latest technologies and options.
\n- Lead the comprehensive testing and evaluation of new sensor samples utilizing test fixtures and the Sensor Mule vehicle along with the development of the related tooling to support.
\n- Drive the development of Waabi Sensor Requirements in collaboration with the Systems and Hardware Systems teams.
\n
\n \n- Integration and Optimization\n
\n- Oversee the entire sensor integration pipeline, ensuring raw data is correctly ingested into the compute platform.
\n- Manage sensor configuration to align with optimized settings (resolution, frame rate, FOV) provided by the Autonomy & AI team.
\n
\n \n- Health, Reliability, and Safety\n
\n- Implement systems for monitoring data integrity, identifying issues such as corrupt data, latency, or environmental interference.
\n- Define standards for what constitutes a ‘clean sensor’ and develop validation methods, supporting the development of event-based cleaning triggers in coordination with Autonomy & AI.
\n- Work closely with Autonomy & AI on application-level monitoring of data quality to support overall autonomy performance.
\n
\n \n- Cross-Functional Leadership\n
\n- Collaborate with the Sim team to build accurate sensor simulation models and validate them through rigorous testing.
\n- Provide technical direction and leadership to the team, ensuring cohesion and alignment with the overarching technical strategy.
\n
\n \n
\n
Qualifications:\n
\n- 10+ years of experience in related hands-on experience with Lidar, Radar and Camera, preferably in autonomous vehicles or robotics.
\n- 5+ years in a leadership role
\n- Bachelor’s of Science in Mechanical Engineering, Optical Engineering, Electrical Engineering, Physics, Mechatronics, Computer Science, or a related field.
\n- Proven experience in leading technical teams in sensor development, validation, or integration for complex systems.
\n- Deep technical knowledge of automotive or robotics sensors (Lidar, Radar, Cameras).
\n- Demonstrated ability to drive technical strategy and roadmap development.
\n- Experience in developing sensor requirements and managing vendor relationships.
\n- Strong problem-solving skills and meticulous attention to detail.
\n- Excellent written and verbal communication skills.
\n- Ability to work independently and collaboratively in a fast-paced, dynamic environment.
\n- Open-minded and collaborative team player with a willingness to assist others.
\n- Passionate about self-driving technologies, tackling complex problems, and creating innovative solutions.
\n
\n
Bonus/nice to have:\n
\n- Experience with GNSS and/or IMU.
\n- Technical experience in developing self-driving vehicles.
\n
\n
\n
","descriptionBodyPlain":"You will...\nSensor Development\nResponsible for driving the technical direction and creating the overall strategy/roadmap for Waabi.\nDeveloping a technical plan that aligns with the development of the Waabi Driver over multiple generations and stages of maturity for different verticals.\nSensor Evaluation and Requirements\nMaintain strategic technical relationships with all sensor vendors to stay informed on the latest technologies and options.\nLead the comprehensive testing and evaluation of new sensor samples utilizing test fixtures and the Sensor Mule vehicle along with the development of the related tooling to support.\nDrive the development of Waabi Sensor Requirements in collaboration with the Systems and Hardware Systems teams.\nIntegration and Optimization\nOversee the entire sensor integration pipeline, ensuring raw data is correctly ingested into the compute platform.\nManage sensor configuration to align with optimized settings (resolution, frame rate, FOV) provided by the Autonomy & AI team.\nHealth, Reliability, and Safety\nImplement systems for monitoring data integrity, identifying issues such as corrupt data, latency, or environmental interference.\nDefine standards for what constitutes a ‘clean sensor’ and develop validation methods, supporting the development of event-based cleaning triggers in coordination with Autonomy & AI.\nWork closely with Autonomy & AI on application-level monitoring of data quality to support overall autonomy performance.\nCross-Functional Leadership\nCollaborate with the Sim team to build accurate sensor simulation models and validate them through rigorous testing.\nProvide technical direction and leadership to the team, ensuring cohesion and alignment with the overarching technical strategy.\nQualifications:\n10+ years of experience in related hands-on experience with Lidar, Radar and Camera, preferably in autonomous vehicles or robotics.\n5+ years in a leadership role\nBachelor’s of Science in Mechanical Engineering, Optical Engineering, Electrical Engineering, Physics, Mechatronics, Computer Science, or a related field.\nProven experience in leading technical teams in sensor development, validation, or integration for complex systems.\nDeep technical knowledge of automotive or robotics sensors (Lidar, Radar, Cameras).\nDemonstrated ability to drive technical strategy and roadmap development.\nExperience in developing sensor requirements and managing vendor relationships.\nStrong problem-solving skills and meticulous attention to detail.\nExcellent written and verbal communication skills.\nAbility to work independently and collaboratively in a fast-paced, dynamic environment.\nOpen-minded and collaborative team player with a willingness to assist others.\nPassionate about self-driving technologies, tackling complex problems, and creating innovative solutions.\nBonus/nice to have:\nExperience with GNSS and/or IMU.\nTechnical experience in developing self-driving vehicles.\n","hostedUrl":"https://jobs.lever.co/waabi/80ba4ee8-21c9-4e44-a6b4-72677d814fca","applyUrl":"https://jobs.lever.co/waabi/80ba4ee8-21c9-4e44-a6b4-72677d814fca/apply"},{"additionalPlain":"Perks/Benefits:\nWaabi provides a competitive benefits package that includes:\nCompetitive compensation and equity awards.\nHealth and wellness benefits encompassing Medical, Dental, and Vision coverage \nPaid parental, medical and family care leave.\nGenerous PTO Policy.\nRetirement savings plans including 401(k) or RRSP options.\nHealth savings account contribution options.\nDaily drinks, snacks, and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAdditional benefits are offered and tailored to specific country locations. \nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"Perks/Benefits:
\n\n
Waabi provides a competitive benefits package that includes:
\n
\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy.
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Operations","location":"Dallas, TX","team":"Road Operations","allLocations":["Dallas, TX"]},"createdAt":1787672711132,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWaabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and day shift is the core of that operation.\nThe Shift Supervisor manages the people and truck side of daily operations, shift by shift. You are the on-the-ground supervisor who makes sure our trucks are compliant, our crews meet the standard that autonomous vehicle operations demand, and every mission leaves and lands safely. On day shift you run the highest mission volume and the tightest customer timing we operate, with the full operations and engineering team around you. You will coach in real time, hold the safety and compliance line, manage crew fatigue across extended days, and hand off a clean, complete picture at the end of shift. This role carries direct reports.\nYou will…\nManage end-to-end shift operations for Vehicle Operators and Fleet Specialists, partnering with Dispatch to assign work, execute testing missions, complete commercial runs, and meet Waabi and customer KPIs.\nLead, coach, and develop a team of Vehicle Operators, including performance, development, scheduling and time off requests, and corrective action.\nUphold Waabi safety and compliance standards in the terminal and in the field, and enforce accuracy on tractor and trailer pre-trip inspections, post-trip Driver Vehicle Inspection Reports, and Enhanced Inspection Program requirements.\nEvaluate crew performance through direct observation, remote monitoring, ride-alongs, and safety event review, and deliver real-time coaching and corrective action.\nActively manage crew fatigue — enforce rest and meal periods, adjust assignments when someone is not fit for duty, and escalate patterns before they become incidents.\nOwn personnel-to-vehicle assignments in partnership with Dispatch and the Vehicle Operations and Test Operations Leads, accounting for platform qualification, certification tier, and Hours of Service.\nOwn the shift-to-shift handoff so open issues, truck status, and unfinished work carry forward cleanly.\nServe as the on-site escalation point for in-field and terminal issues, initiate incident response, and escalate Priority and Critical events alongside Dispatch.\nRun daily compliance and terminal checks across fleet management tools, ELD logs, dispatch status, 5-S audits, attendance, and timekeeping, and coordinate with Fleet Readiness to triage mechanical and technical issues and minimize downtime.\nRepresent Waabi professionally with customer facilities, carrier partners, and site contacts.\nMaintain and improve Waabi’s culture of excellence in safety, and speak up immediately when something is not right.\n \nQualifications:\n2+ years of experience in fleet operations, logistics, or transportation management.\nProven leadership experience (e.g., supervisor, team lead, or lead driver) specifically managing CDL operators or shift-based teams.\nActive Class A CDL strongly preferred. Understanding the technical and physical demands of Class 8 operation is critical to managing this workforce.\nDeep knowledge of transportation regulations (DOT, FMCSA), particularly Hours of Service and compliance requirements for commercial operators.\nExperience working in a technical or testing environment; prior autonomous vehicle experience is a strong plus.\nProficiency with fleet management software, scheduling tools, and telematics platforms.\nStrong written communication. Your shift record and handoff are what day shift and leadership rely on.\nSound judgment under ambiguity and a bias for action, with the ability to make defensible decisions in the moment.\nAble and willing to work the day shift described below, including flexible start and end times, extended shifts of up to approximately 14 hours, weekends, and holidays, and to travel to remote sites and roadside locations as needed.\nPrior experience supervising a shift-based or 24/7 operation is a strong plus.\nEnhanced Inspection Protocol (EIP) certification or CVSA inspection training, and experience conducting formal safety observations, audits, or incident investigations, are a plus.\nPassion for self-driving technology, solving hard problems, and building a culture of safety and operational excellence.\n \nDay Shift Schedule and Flexibility:\nBase shift: 7:00 AM – 5:00 PM CT, based at Waabi’s Lancaster, TX terminal.\nStart and end times may shift. The shift may begin earlier or end later based on commercial and customer demand and when loads need to move. Day shift crews are expected to be flexible.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
Waabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and day shift is the core of that operation.
\nThe Shift Supervisor manages the people and truck side of daily operations, shift by shift. You are the on-the-ground supervisor who makes sure our trucks are compliant, our crews meet the standard that autonomous vehicle operations demand, and every mission leaves and lands safely. On day shift you run the highest mission volume and the tightest customer timing we operate, with the full operations and engineering team around you. You will coach in real time, hold the safety and compliance line, manage crew fatigue across extended days, and hand off a clean, complete picture at the end of shift. This role carries direct reports.
\nYou will…
\n\n- Manage end-to-end shift operations for Vehicle Operators and Fleet Specialists, partnering with Dispatch to assign work, execute testing missions, complete commercial runs, and meet Waabi and customer KPIs.
\n- Lead, coach, and develop a team of Vehicle Operators, including performance, development, scheduling and time off requests, and corrective action.
\n- Uphold Waabi safety and compliance standards in the terminal and in the field, and enforce accuracy on tractor and trailer pre-trip inspections, post-trip Driver Vehicle Inspection Reports, and Enhanced Inspection Program requirements.
\n- Evaluate crew performance through direct observation, remote monitoring, ride-alongs, and safety event review, and deliver real-time coaching and corrective action.
\n- Actively manage crew fatigue — enforce rest and meal periods, adjust assignments when someone is not fit for duty, and escalate patterns before they become incidents.
\n- Own personnel-to-vehicle assignments in partnership with Dispatch and the Vehicle Operations and Test Operations Leads, accounting for platform qualification, certification tier, and Hours of Service.
\n- Own the shift-to-shift handoff so open issues, truck status, and unfinished work carry forward cleanly.
\n- Serve as the on-site escalation point for in-field and terminal issues, initiate incident response, and escalate Priority and Critical events alongside Dispatch.
\n- Run daily compliance and terminal checks across fleet management tools, ELD logs, dispatch status, 5-S audits, attendance, and timekeeping, and coordinate with Fleet Readiness to triage mechanical and technical issues and minimize downtime.
\n- Represent Waabi professionally with customer facilities, carrier partners, and site contacts.
\n- Maintain and improve Waabi’s culture of excellence in safety, and speak up immediately when something is not right.
\n
\n
\nQualifications:
\n\n- 2+ years of experience in fleet operations, logistics, or transportation management.
\n- Proven leadership experience (e.g., supervisor, team lead, or lead driver) specifically managing CDL operators or shift-based teams.
\n- Active Class A CDL strongly preferred. Understanding the technical and physical demands of Class 8 operation is critical to managing this workforce.
\n- Deep knowledge of transportation regulations (DOT, FMCSA), particularly Hours of Service and compliance requirements for commercial operators.
\n- Experience working in a technical or testing environment; prior autonomous vehicle experience is a strong plus.
\n- Proficiency with fleet management software, scheduling tools, and telematics platforms.
\n- Strong written communication. Your shift record and handoff are what day shift and leadership rely on.
\n- Sound judgment under ambiguity and a bias for action, with the ability to make defensible decisions in the moment.
\n- Able and willing to work the day shift described below, including flexible start and end times, extended shifts of up to approximately 14 hours, weekends, and holidays, and to travel to remote sites and roadside locations as needed.
\n- Prior experience supervising a shift-based or 24/7 operation is a strong plus.
\n- Enhanced Inspection Protocol (EIP) certification or CVSA inspection training, and experience conducting formal safety observations, audits, or incident investigations, are a plus.
\n- Passion for self-driving technology, solving hard problems, and building a culture of safety and operational excellence.
\n
\n
\nDay Shift Schedule and Flexibility:
\nBase shift: 7:00 AM – 5:00 PM CT, based at Waabi’s Lancaster, TX terminal.
Start and end times may shift. The shift may begin earlier or end later based on commercial and customer demand and when loads need to move. Day shift crews are expected to be flexible.
","id":"c871fd62-3da0-49d5-a6f3-465fb059c547","lists":[],"text":"Shift Supervisor - Day Shift","country":"US","workplaceType":"onsite","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"Waabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and day shift is the core of that operation.
\nThe Shift Supervisor manages the people and truck side of daily operations, shift by shift. You are the on-the-ground supervisor who makes sure our trucks are compliant, our crews meet the standard that autonomous vehicle operations demand, and every mission leaves and lands safely. On day shift you run the highest mission volume and the tightest customer timing we operate, with the full operations and engineering team around you. You will coach in real time, hold the safety and compliance line, manage crew fatigue across extended days, and hand off a clean, complete picture at the end of shift. This role carries direct reports.
\nYou will…
\n\n- Manage end-to-end shift operations for Vehicle Operators and Fleet Specialists, partnering with Dispatch to assign work, execute testing missions, complete commercial runs, and meet Waabi and customer KPIs.
\n- Lead, coach, and develop a team of Vehicle Operators, including performance, development, scheduling and time off requests, and corrective action.
\n- Uphold Waabi safety and compliance standards in the terminal and in the field, and enforce accuracy on tractor and trailer pre-trip inspections, post-trip Driver Vehicle Inspection Reports, and Enhanced Inspection Program requirements.
\n- Evaluate crew performance through direct observation, remote monitoring, ride-alongs, and safety event review, and deliver real-time coaching and corrective action.
\n- Actively manage crew fatigue — enforce rest and meal periods, adjust assignments when someone is not fit for duty, and escalate patterns before they become incidents.
\n- Own personnel-to-vehicle assignments in partnership with Dispatch and the Vehicle Operations and Test Operations Leads, accounting for platform qualification, certification tier, and Hours of Service.
\n- Own the shift-to-shift handoff so open issues, truck status, and unfinished work carry forward cleanly.
\n- Serve as the on-site escalation point for in-field and terminal issues, initiate incident response, and escalate Priority and Critical events alongside Dispatch.
\n- Run daily compliance and terminal checks across fleet management tools, ELD logs, dispatch status, 5-S audits, attendance, and timekeeping, and coordinate with Fleet Readiness to triage mechanical and technical issues and minimize downtime.
\n- Represent Waabi professionally with customer facilities, carrier partners, and site contacts.
\n- Maintain and improve Waabi’s culture of excellence in safety, and speak up immediately when something is not right.
\n
\n
\nQualifications:
\n\n- 2+ years of experience in fleet operations, logistics, or transportation management.
\n- Proven leadership experience (e.g., supervisor, team lead, or lead driver) specifically managing CDL operators or shift-based teams.
\n- Active Class A CDL strongly preferred. Understanding the technical and physical demands of Class 8 operation is critical to managing this workforce.
\n- Deep knowledge of transportation regulations (DOT, FMCSA), particularly Hours of Service and compliance requirements for commercial operators.
\n- Experience working in a technical or testing environment; prior autonomous vehicle experience is a strong plus.
\n- Proficiency with fleet management software, scheduling tools, and telematics platforms.
\n- Strong written communication. Your shift record and handoff are what day shift and leadership rely on.
\n- Sound judgment under ambiguity and a bias for action, with the ability to make defensible decisions in the moment.
\n- Able and willing to work the day shift described below, including flexible start and end times, extended shifts of up to approximately 14 hours, weekends, and holidays, and to travel to remote sites and roadside locations as needed.
\n- Prior experience supervising a shift-based or 24/7 operation is a strong plus.
\n- Enhanced Inspection Protocol (EIP) certification or CVSA inspection training, and experience conducting formal safety observations, audits, or incident investigations, are a plus.
\n- Passion for self-driving technology, solving hard problems, and building a culture of safety and operational excellence.
\n
\n
\nDay Shift Schedule and Flexibility:
\nBase shift: 7:00 AM – 5:00 PM CT, based at Waabi’s Lancaster, TX terminal.
Start and end times may shift. The shift may begin earlier or end later based on commercial and customer demand and when loads need to move. Day shift crews are expected to be flexible.
","descriptionBodyPlain":"Waabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and day shift is the core of that operation.\nThe Shift Supervisor manages the people and truck side of daily operations, shift by shift. You are the on-the-ground supervisor who makes sure our trucks are compliant, our crews meet the standard that autonomous vehicle operations demand, and every mission leaves and lands safely. On day shift you run the highest mission volume and the tightest customer timing we operate, with the full operations and engineering team around you. You will coach in real time, hold the safety and compliance line, manage crew fatigue across extended days, and hand off a clean, complete picture at the end of shift. This role carries direct reports.\nYou will…\nManage end-to-end shift operations for Vehicle Operators and Fleet Specialists, partnering with Dispatch to assign work, execute testing missions, complete commercial runs, and meet Waabi and customer KPIs.\nLead, coach, and develop a team of Vehicle Operators, including performance, development, scheduling and time off requests, and corrective action.\nUphold Waabi safety and compliance standards in the terminal and in the field, and enforce accuracy on tractor and trailer pre-trip inspections, post-trip Driver Vehicle Inspection Reports, and Enhanced Inspection Program requirements.\nEvaluate crew performance through direct observation, remote monitoring, ride-alongs, and safety event review, and deliver real-time coaching and corrective action.\nActively manage crew fatigue — enforce rest and meal periods, adjust assignments when someone is not fit for duty, and escalate patterns before they become incidents.\nOwn personnel-to-vehicle assignments in partnership with Dispatch and the Vehicle Operations and Test Operations Leads, accounting for platform qualification, certification tier, and Hours of Service.\nOwn the shift-to-shift handoff so open issues, truck status, and unfinished work carry forward cleanly.\nServe as the on-site escalation point for in-field and terminal issues, initiate incident response, and escalate Priority and Critical events alongside Dispatch.\nRun daily compliance and terminal checks across fleet management tools, ELD logs, dispatch status, 5-S audits, attendance, and timekeeping, and coordinate with Fleet Readiness to triage mechanical and technical issues and minimize downtime.\nRepresent Waabi professionally with customer facilities, carrier partners, and site contacts.\nMaintain and improve Waabi’s culture of excellence in safety, and speak up immediately when something is not right.\n \nQualifications:\n2+ years of experience in fleet operations, logistics, or transportation management.\nProven leadership experience (e.g., supervisor, team lead, or lead driver) specifically managing CDL operators or shift-based teams.\nActive Class A CDL strongly preferred. Understanding the technical and physical demands of Class 8 operation is critical to managing this workforce.\nDeep knowledge of transportation regulations (DOT, FMCSA), particularly Hours of Service and compliance requirements for commercial operators.\nExperience working in a technical or testing environment; prior autonomous vehicle experience is a strong plus.\nProficiency with fleet management software, scheduling tools, and telematics platforms.\nStrong written communication. Your shift record and handoff are what day shift and leadership rely on.\nSound judgment under ambiguity and a bias for action, with the ability to make defensible decisions in the moment.\nAble and willing to work the day shift described below, including flexible start and end times, extended shifts of up to approximately 14 hours, weekends, and holidays, and to travel to remote sites and roadside locations as needed.\nPrior experience supervising a shift-based or 24/7 operation is a strong plus.\nEnhanced Inspection Protocol (EIP) certification or CVSA inspection training, and experience conducting formal safety observations, audits, or incident investigations, are a plus.\nPassion for self-driving technology, solving hard problems, and building a culture of safety and operational excellence.\n \nDay Shift Schedule and Flexibility:\nBase shift: 7:00 AM – 5:00 PM CT, based at Waabi’s Lancaster, TX terminal.\nStart and end times may shift. The shift may begin earlier or end later based on commercial and customer demand and when loads need to move. Day shift crews are expected to be flexible.\n","hostedUrl":"https://jobs.lever.co/waabi/c871fd62-3da0-49d5-a6f3-465fb059c547","applyUrl":"https://jobs.lever.co/waabi/c871fd62-3da0-49d5-a6f3-465fb059c547/apply"},{"additionalPlain":"Perks/Benefits:\nWaabi provides a competitive benefits package that includes:\nCompetitive compensation and equity awards.\nHealth and wellness benefits encompassing Medical, Dental, and Vision coverage \nPaid parental, medical and family care leave.\nGenerous PTO Policy.\nRetirement savings plans including 401(k) or RRSP options.\nHealth savings account contribution options.\nDaily drinks, snacks, and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAdditional benefits are offered and tailored to specific country locations. \nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"Perks/Benefits:
\n\n
Waabi provides a competitive benefits package that includes:
\n
\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy.
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Operations","location":"Dallas, TX","team":"Road Operations","allLocations":["Dallas, TX"]},"createdAt":1787580060127,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWaabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and we are standing up a night shift to meet our commercial customers where they are.\nThe Shift Supervisor manages the people and truck side of daily operations, shift by shift. You are the on-the-ground supervisor who makes sure our trucks are compliant, our crews meet the standard that autonomous vehicle operations demand, and every mission leaves and lands safely. On night shift you are a senior leader on site: you run the shift, coach in real time, manage crew fatigue, and hand off a clean, complete picture to day shift every morning. This role carries direct reports.\nYou will…\nManage end-to-end night shift operations for Vehicle Operators and Fleet Specialists, partnering with Dispatch to assign work, execute testing missions, complete commercial runs, and meet Waabi and customer KPIs.\nLead, coach, and develop a team of Vehicle Operators, including performance, development, scheduling and time off requests, and corrective action.\nUphold Waabi safety and compliance standards in the terminal and in the field, and enforce accuracy on tractor and trailer pre-trip inspections, post-trip Driver Vehicle Inspection Reports, and Enhanced Inspection Program requirements.\nEvaluate crew performance through direct observation, remote monitoring, ride-alongs, and safety event review, and deliver real-time coaching and corrective action.\nActively manage crew fatigue — enforce rest and meal periods, adjust assignments when someone is not fit for duty, and escalate patterns before they become incidents.\nOwn personnel-to-vehicle assignments in partnership with Dispatch and the Vehicle Operations and Test Operations Leads, accounting for platform qualification, certification tier, and Hours of Service.\nBuild, document, and own the night-to-day shift handoff so open issues, truck status, and unfinished work carry forward cleanly.\nServe as the on-site escalation point for in-field and terminal issues, initiate incident response, and escalate Priority and Critical events alongside Dispatch.\nRun daily compliance and terminal checks across fleet management tools, ELD logs, dispatch status, 5-S audits, attendance, and timekeeping, and coordinate with Fleet Readiness to triage mechanical and technical issues and minimize downtime.\nRepresent Waabi professionally with customer facilities, carrier partners, and site contacts overnight.\nMaintain and improve Waabi’s culture of excellence in safety, and speak up immediately when something is not right.\nQualifications:\n2+ years of experience in fleet operations, logistics, or transportation management.\nProven leadership experience (e.g., supervisor, team lead, or lead driver) specifically managing CDL operators or shift-based teams.\nActive Class A CDL strongly preferred. Understanding the technical and physical demands of Class 8 operation is critical to managing this workforce.\nDeep knowledge of transportation regulations (DOT, FMCSA), particularly Hours of Service and compliance requirements for commercial operators.\nExperience working in a technical or testing environment; prior autonomous vehicle experience is a strong plus.\nProficiency with fleet management software, scheduling tools, and telematics platforms.\nStrong written communication. Your shift record and handoff are what day shift and leadership rely on.\nSound judgment under ambiguity and a bias for action, with the ability to make defensible decisions overnight with limited support on site.\nAble and willing to work the night shift described below, including flexible start and end times, extended shifts of up to approximately 14 hours, weekends, and holidays, and to travel to remote sites and roadside locations as needed.\nPrior experience supervising an overnight or 24/7 shift, or standing up a new shift, site, or team, is a strong plus.\nEnhanced Inspection Protocol (EIP) certification or CVSA inspection training, and experience conducting formal safety observations, audits, or incident investigations, are a plus.\nPassion for self-driving technology, solving hard problems, and building a culture of safety and operational excellence.\n \nNight Shift Schedule and Flexibility:\nBase shift: 11:00 PM – 7:30 AM CT, based at Waabi’s Lancaster, TX terminal.\nStart and end times may shift. The shift may begin and end a few hours later and, less commonly, a few hours earlier, based on commercial and customer demand and when loads need to move. Night shift crews are expected to be as flexible as day shift crews.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
Waabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and we are standing up a night shift to meet our commercial customers where they are.
\nThe Shift Supervisor manages the people and truck side of daily operations, shift by shift. You are the on-the-ground supervisor who makes sure our trucks are compliant, our crews meet the standard that autonomous vehicle operations demand, and every mission leaves and lands safely. On night shift you are a senior leader on site: you run the shift, coach in real time, manage crew fatigue, and hand off a clean, complete picture to day shift every morning. This role carries direct reports.
\nYou will…
\n\n- Manage end-to-end night shift operations for Vehicle Operators and Fleet Specialists, partnering with Dispatch to assign work, execute testing missions, complete commercial runs, and meet Waabi and customer KPIs.
\n- Lead, coach, and develop a team of Vehicle Operators, including performance, development, scheduling and time off requests, and corrective action.
\n- Uphold Waabi safety and compliance standards in the terminal and in the field, and enforce accuracy on tractor and trailer pre-trip inspections, post-trip Driver Vehicle Inspection Reports, and Enhanced Inspection Program requirements.
\n- Evaluate crew performance through direct observation, remote monitoring, ride-alongs, and safety event review, and deliver real-time coaching and corrective action.
\n- Actively manage crew fatigue — enforce rest and meal periods, adjust assignments when someone is not fit for duty, and escalate patterns before they become incidents.
\n- Own personnel-to-vehicle assignments in partnership with Dispatch and the Vehicle Operations and Test Operations Leads, accounting for platform qualification, certification tier, and Hours of Service.
\n- Build, document, and own the night-to-day shift handoff so open issues, truck status, and unfinished work carry forward cleanly.
\n- Serve as the on-site escalation point for in-field and terminal issues, initiate incident response, and escalate Priority and Critical events alongside Dispatch.
\n- Run daily compliance and terminal checks across fleet management tools, ELD logs, dispatch status, 5-S audits, attendance, and timekeeping, and coordinate with Fleet Readiness to triage mechanical and technical issues and minimize downtime.
\n- Represent Waabi professionally with customer facilities, carrier partners, and site contacts overnight.
\n- Maintain and improve Waabi’s culture of excellence in safety, and speak up immediately when something is not right.
\n
\nQualifications:
\n\n- 2+ years of experience in fleet operations, logistics, or transportation management.
\n- Proven leadership experience (e.g., supervisor, team lead, or lead driver) specifically managing CDL operators or shift-based teams.
\n- Active Class A CDL strongly preferred. Understanding the technical and physical demands of Class 8 operation is critical to managing this workforce.
\n- Deep knowledge of transportation regulations (DOT, FMCSA), particularly Hours of Service and compliance requirements for commercial operators.
\n- Experience working in a technical or testing environment; prior autonomous vehicle experience is a strong plus.
\n- Proficiency with fleet management software, scheduling tools, and telematics platforms.
\n- Strong written communication. Your shift record and handoff are what day shift and leadership rely on.
\n- Sound judgment under ambiguity and a bias for action, with the ability to make defensible decisions overnight with limited support on site.
\n- Able and willing to work the night shift described below, including flexible start and end times, extended shifts of up to approximately 14 hours, weekends, and holidays, and to travel to remote sites and roadside locations as needed.
\n- Prior experience supervising an overnight or 24/7 shift, or standing up a new shift, site, or team, is a strong plus.
\n- Enhanced Inspection Protocol (EIP) certification or CVSA inspection training, and experience conducting formal safety observations, audits, or incident investigations, are a plus.
\n- Passion for self-driving technology, solving hard problems, and building a culture of safety and operational excellence.
\n
\n
\nNight Shift Schedule and Flexibility:
\nBase shift: 11:00 PM – 7:30 AM CT, based at Waabi’s Lancaster, TX terminal.
Start and end times may shift. The shift may begin and end a few hours later and, less commonly, a few hours earlier, based on commercial and customer demand and when loads need to move. Night shift crews are expected to be as flexible as day shift crews.
","id":"55d79558-7318-48b5-a22a-6d63f8abb111","lists":[],"text":"Shift Supervisor - Night Shift","country":"US","workplaceType":"onsite","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"Waabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and we are standing up a night shift to meet our commercial customers where they are.
\nThe Shift Supervisor manages the people and truck side of daily operations, shift by shift. You are the on-the-ground supervisor who makes sure our trucks are compliant, our crews meet the standard that autonomous vehicle operations demand, and every mission leaves and lands safely. On night shift you are a senior leader on site: you run the shift, coach in real time, manage crew fatigue, and hand off a clean, complete picture to day shift every morning. This role carries direct reports.
\nYou will…
\n\n- Manage end-to-end night shift operations for Vehicle Operators and Fleet Specialists, partnering with Dispatch to assign work, execute testing missions, complete commercial runs, and meet Waabi and customer KPIs.
\n- Lead, coach, and develop a team of Vehicle Operators, including performance, development, scheduling and time off requests, and corrective action.
\n- Uphold Waabi safety and compliance standards in the terminal and in the field, and enforce accuracy on tractor and trailer pre-trip inspections, post-trip Driver Vehicle Inspection Reports, and Enhanced Inspection Program requirements.
\n- Evaluate crew performance through direct observation, remote monitoring, ride-alongs, and safety event review, and deliver real-time coaching and corrective action.
\n- Actively manage crew fatigue — enforce rest and meal periods, adjust assignments when someone is not fit for duty, and escalate patterns before they become incidents.
\n- Own personnel-to-vehicle assignments in partnership with Dispatch and the Vehicle Operations and Test Operations Leads, accounting for platform qualification, certification tier, and Hours of Service.
\n- Build, document, and own the night-to-day shift handoff so open issues, truck status, and unfinished work carry forward cleanly.
\n- Serve as the on-site escalation point for in-field and terminal issues, initiate incident response, and escalate Priority and Critical events alongside Dispatch.
\n- Run daily compliance and terminal checks across fleet management tools, ELD logs, dispatch status, 5-S audits, attendance, and timekeeping, and coordinate with Fleet Readiness to triage mechanical and technical issues and minimize downtime.
\n- Represent Waabi professionally with customer facilities, carrier partners, and site contacts overnight.
\n- Maintain and improve Waabi’s culture of excellence in safety, and speak up immediately when something is not right.
\n
\nQualifications:
\n\n- 2+ years of experience in fleet operations, logistics, or transportation management.
\n- Proven leadership experience (e.g., supervisor, team lead, or lead driver) specifically managing CDL operators or shift-based teams.
\n- Active Class A CDL strongly preferred. Understanding the technical and physical demands of Class 8 operation is critical to managing this workforce.
\n- Deep knowledge of transportation regulations (DOT, FMCSA), particularly Hours of Service and compliance requirements for commercial operators.
\n- Experience working in a technical or testing environment; prior autonomous vehicle experience is a strong plus.
\n- Proficiency with fleet management software, scheduling tools, and telematics platforms.
\n- Strong written communication. Your shift record and handoff are what day shift and leadership rely on.
\n- Sound judgment under ambiguity and a bias for action, with the ability to make defensible decisions overnight with limited support on site.
\n- Able and willing to work the night shift described below, including flexible start and end times, extended shifts of up to approximately 14 hours, weekends, and holidays, and to travel to remote sites and roadside locations as needed.
\n- Prior experience supervising an overnight or 24/7 shift, or standing up a new shift, site, or team, is a strong plus.
\n- Enhanced Inspection Protocol (EIP) certification or CVSA inspection training, and experience conducting formal safety observations, audits, or incident investigations, are a plus.
\n- Passion for self-driving technology, solving hard problems, and building a culture of safety and operational excellence.
\n
\n
\nNight Shift Schedule and Flexibility:
\nBase shift: 11:00 PM – 7:30 AM CT, based at Waabi’s Lancaster, TX terminal.
Start and end times may shift. The shift may begin and end a few hours later and, less commonly, a few hours earlier, based on commercial and customer demand and when loads need to move. Night shift crews are expected to be as flexible as day shift crews.
","descriptionBodyPlain":"Waabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and we are standing up a night shift to meet our commercial customers where they are.\nThe Shift Supervisor manages the people and truck side of daily operations, shift by shift. You are the on-the-ground supervisor who makes sure our trucks are compliant, our crews meet the standard that autonomous vehicle operations demand, and every mission leaves and lands safely. On night shift you are a senior leader on site: you run the shift, coach in real time, manage crew fatigue, and hand off a clean, complete picture to day shift every morning. This role carries direct reports.\nYou will…\nManage end-to-end night shift operations for Vehicle Operators and Fleet Specialists, partnering with Dispatch to assign work, execute testing missions, complete commercial runs, and meet Waabi and customer KPIs.\nLead, coach, and develop a team of Vehicle Operators, including performance, development, scheduling and time off requests, and corrective action.\nUphold Waabi safety and compliance standards in the terminal and in the field, and enforce accuracy on tractor and trailer pre-trip inspections, post-trip Driver Vehicle Inspection Reports, and Enhanced Inspection Program requirements.\nEvaluate crew performance through direct observation, remote monitoring, ride-alongs, and safety event review, and deliver real-time coaching and corrective action.\nActively manage crew fatigue — enforce rest and meal periods, adjust assignments when someone is not fit for duty, and escalate patterns before they become incidents.\nOwn personnel-to-vehicle assignments in partnership with Dispatch and the Vehicle Operations and Test Operations Leads, accounting for platform qualification, certification tier, and Hours of Service.\nBuild, document, and own the night-to-day shift handoff so open issues, truck status, and unfinished work carry forward cleanly.\nServe as the on-site escalation point for in-field and terminal issues, initiate incident response, and escalate Priority and Critical events alongside Dispatch.\nRun daily compliance and terminal checks across fleet management tools, ELD logs, dispatch status, 5-S audits, attendance, and timekeeping, and coordinate with Fleet Readiness to triage mechanical and technical issues and minimize downtime.\nRepresent Waabi professionally with customer facilities, carrier partners, and site contacts overnight.\nMaintain and improve Waabi’s culture of excellence in safety, and speak up immediately when something is not right.\nQualifications:\n2+ years of experience in fleet operations, logistics, or transportation management.\nProven leadership experience (e.g., supervisor, team lead, or lead driver) specifically managing CDL operators or shift-based teams.\nActive Class A CDL strongly preferred. Understanding the technical and physical demands of Class 8 operation is critical to managing this workforce.\nDeep knowledge of transportation regulations (DOT, FMCSA), particularly Hours of Service and compliance requirements for commercial operators.\nExperience working in a technical or testing environment; prior autonomous vehicle experience is a strong plus.\nProficiency with fleet management software, scheduling tools, and telematics platforms.\nStrong written communication. Your shift record and handoff are what day shift and leadership rely on.\nSound judgment under ambiguity and a bias for action, with the ability to make defensible decisions overnight with limited support on site.\nAble and willing to work the night shift described below, including flexible start and end times, extended shifts of up to approximately 14 hours, weekends, and holidays, and to travel to remote sites and roadside locations as needed.\nPrior experience supervising an overnight or 24/7 shift, or standing up a new shift, site, or team, is a strong plus.\nEnhanced Inspection Protocol (EIP) certification or CVSA inspection training, and experience conducting formal safety observations, audits, or incident investigations, are a plus.\nPassion for self-driving technology, solving hard problems, and building a culture of safety and operational excellence.\n \nNight Shift Schedule and Flexibility:\nBase shift: 11:00 PM – 7:30 AM CT, based at Waabi’s Lancaster, TX terminal.\nStart and end times may shift. The shift may begin and end a few hours later and, less commonly, a few hours earlier, based on commercial and customer demand and when loads need to move. Night shift crews are expected to be as flexible as day shift crews.\n","hostedUrl":"https://jobs.lever.co/waabi/55d79558-7318-48b5-a22a-6d63f8abb111","applyUrl":"https://jobs.lever.co/waabi/55d79558-7318-48b5-a22a-6d63f8abb111/apply"},{"additionalPlain":"Perks/Benefits:\n- Competitive compensation and equity awards.\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\n- Unlimited Vacation.\n- Flexible hours and Work from Home support.\n- Daily drinks, snacks and catered meals (when in office).\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.\n- As we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"Perks/Benefits:
\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Toronto, ON","team":"Software Engineering","allLocations":["Toronto, ON"]},"createdAt":1789479960675,"descriptionPlain":"Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.\n \nOn the Commercial Software team, we are building the platform that interfaces with the autonomous vehicle which enables customers and internal operations to manage fleet of trucks. We're a full stack web development team that works closely with our onboard team to integrate our platform and the vehicle, partners with the commercial team to build automated integrations with our customers' systems, and collaborate with design to create polished, seamless interfaces.\n \nYou will...\n- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.\n- Build reliable and scalable tools and framework to support Autonomous Vehicle (AV) development.\n- Develop innovative solutions for challenging problems with scalable, production quality software.\n- Receive hands-on work experience in identifying requirements, building and deploying software.\n- Work closely and learn from the best developers in Autonomous Vehicles and Machine Learning.\n- Build a strong foundation of software development principles and patterns.\n \nQualifications:\n- Bachelor’s degree in Computer Science, Computer Engineering or related engineering disciplines.\n- 2+ years of industry experience developing production quality software.\n- Demonstrated software engineering experience through internships, work experience, or coding competitions.\n- Proficient in reading and developing production quality software; experience with Go or Typescript.\n- Open-minded and collaborative team player with willingness to help others.\n \nBonus/ nice to have: \n- Experience in one or more of the following areas: modern web technologies, distributed systems, data storage and processing, cloud infrastructures, test-driven and API-driven development methodologies, and system design/architecture. \n- Experience in ML and self-driving.\n- Experience working with robotics or machine learning research teams.\n- Experience working in an Agile/Scrum environment.\n \nThe Canada yearly salary range for this role is: $149,000 - 220,000 CAD in addition to competitive perks & benefits. Waabi Canada Inc.s' yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all Canada locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n","description":"Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.
\n
\nOn the Commercial Software team, we are building the platform that interfaces with the autonomous vehicle which enables customers and internal operations to manage fleet of trucks. We're a full stack web development team that works closely with our onboard team to integrate our platform and the vehicle, partners with the commercial team to build automated integrations with our customers' systems, and collaborate with design to create polished, seamless interfaces.
\n
\nYou will...
\n- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
\n- Build reliable and scalable tools and framework to support Autonomous Vehicle (AV) development.
\n- Develop innovative solutions for challenging problems with scalable, production quality software.
\n- Receive hands-on work experience in identifying requirements, building and deploying software.
\n- Work closely and learn from the best developers in Autonomous Vehicles and Machine Learning.
\n- Build a strong foundation of software development principles and patterns.
\n
\nQualifications:
\n- Bachelor’s degree in Computer Science, Computer Engineering or related engineering disciplines.
\n- 2+ years of industry experience developing production quality software.
\n- Demonstrated software engineering experience through internships, work experience, or coding competitions.
\n- Proficient in reading and developing production quality software; experience with Go or Typescript.
\n- Open-minded and collaborative team player with willingness to help others.
\n
\nBonus/ nice to have:
\n- Experience in one or more of the following areas: modern web technologies, distributed systems, data storage and processing, cloud infrastructures, test-driven and API-driven development methodologies, and system design/architecture.
\n- Experience in ML and self-driving.
\n- Experience working with robotics or machine learning research teams.
\n- Experience working in an Agile/Scrum environment.
\n
\nThe Canada yearly salary range for this role is: $149,000 - 220,000 CAD in addition to competitive perks & benefits. Waabi Canada Inc.s' yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all Canada locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
","id":"6bcfed90-b577-4b09-a893-5c07186a1e0f","lists":[],"text":"Software Engineer, Commercial Software","country":"CA","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.
\n
\nOn the Commercial Software team, we are building the platform that interfaces with the autonomous vehicle which enables customers and internal operations to manage fleet of trucks. We're a full stack web development team that works closely with our onboard team to integrate our platform and the vehicle, partners with the commercial team to build automated integrations with our customers' systems, and collaborate with design to create polished, seamless interfaces.
\n
\nYou will...
\n- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
\n- Build reliable and scalable tools and framework to support Autonomous Vehicle (AV) development.
\n- Develop innovative solutions for challenging problems with scalable, production quality software.
\n- Receive hands-on work experience in identifying requirements, building and deploying software.
\n- Work closely and learn from the best developers in Autonomous Vehicles and Machine Learning.
\n- Build a strong foundation of software development principles and patterns.
\n
\nQualifications:
\n- Bachelor’s degree in Computer Science, Computer Engineering or related engineering disciplines.
\n- 2+ years of industry experience developing production quality software.
\n- Demonstrated software engineering experience through internships, work experience, or coding competitions.
\n- Proficient in reading and developing production quality software; experience with Go or Typescript.
\n- Open-minded and collaborative team player with willingness to help others.
\n
\nBonus/ nice to have:
\n- Experience in one or more of the following areas: modern web technologies, distributed systems, data storage and processing, cloud infrastructures, test-driven and API-driven development methodologies, and system design/architecture.
\n- Experience in ML and self-driving.
\n- Experience working with robotics or machine learning research teams.
\n- Experience working in an Agile/Scrum environment.
\n
\nThe Canada yearly salary range for this role is: $149,000 - 220,000 CAD in addition to competitive perks & benefits. Waabi Canada Inc.s' yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all Canada locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
","descriptionBodyPlain":"Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.\n \nOn the Commercial Software team, we are building the platform that interfaces with the autonomous vehicle which enables customers and internal operations to manage fleet of trucks. We're a full stack web development team that works closely with our onboard team to integrate our platform and the vehicle, partners with the commercial team to build automated integrations with our customers' systems, and collaborate with design to create polished, seamless interfaces.\n \nYou will...\n- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.\n- Build reliable and scalable tools and framework to support Autonomous Vehicle (AV) development.\n- Develop innovative solutions for challenging problems with scalable, production quality software.\n- Receive hands-on work experience in identifying requirements, building and deploying software.\n- Work closely and learn from the best developers in Autonomous Vehicles and Machine Learning.\n- Build a strong foundation of software development principles and patterns.\n \nQualifications:\n- Bachelor’s degree in Computer Science, Computer Engineering or related engineering disciplines.\n- 2+ years of industry experience developing production quality software.\n- Demonstrated software engineering experience through internships, work experience, or coding competitions.\n- Proficient in reading and developing production quality software; experience with Go or Typescript.\n- Open-minded and collaborative team player with willingness to help others.\n \nBonus/ nice to have: \n- Experience in one or more of the following areas: modern web technologies, distributed systems, data storage and processing, cloud infrastructures, test-driven and API-driven development methodologies, and system design/architecture. \n- Experience in ML and self-driving.\n- Experience working with robotics or machine learning research teams.\n- Experience working in an Agile/Scrum environment.\n \nThe Canada yearly salary range for this role is: $149,000 - 220,000 CAD in addition to competitive perks & benefits. Waabi Canada Inc.s' yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all Canada locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n","hostedUrl":"https://jobs.lever.co/waabi/6bcfed90-b577-4b09-a893-5c07186a1e0f","applyUrl":"https://jobs.lever.co/waabi/6bcfed90-b577-4b09-a893-5c07186a1e0f/apply"},{"additionalPlain":"The US yearly salary range for this role is: $127,000 - $225,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"The US yearly salary range for this role is: $127,000 - $225,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Toronto, ON","team":"Software Engineering","allLocations":["Toronto, ON","San Francisco, CA","Pittsburgh, PA","Remote US & Canada"]},"createdAt":1776887979982,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nAs a Software Engineer on our Labelling and Data Automation team, you will build pipelines, tools, and workflows to accelerate the development of our AI-first self-driving technology. The Labelling & Data Automation team plays a critical role in Waabi’s training pipeline. We are one of the first steps in the process of training machine learning models and are responsible for building practical, scalable tools and automation for extracting interesting and relevant data, creating high-quality ground truth labels, and providing this data to our expert machine learning scientists and engineers.\n \nYou will..\n- Design and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator. \n- Own the process, criteria, and tooling for efficiently finding interesting and relevant data across the petabytes of real world data that Waabi has collected\n- Build high reliability systems for extracting and labelling the interesting data with various vendors and integrate it back into our system\n- Work with both internal and third party stakeholders to define taxonomy, validation rules and success criteria for our labelling projects\n- Design and manage the end-to-end deployment of data solutions to deliver high quality labelled data for various ML teams to use in experiments and model improvement\n- Deploy open-set / embedding models to our production environment - empowering new search and curation modalities\n- Champion engineering excellence, ensuring high-quality, well structured, and tested code.\n- Contribute to project roadmap planning, prioritization, and delivery.\n \nQualifications: \n- 4+ years of industry experience.\n- Bachelor's in computer science, engineering, machine learning, or a related technical discipline.\n- Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code. \n- A willingness and ability to learn new skills, technologies, and software libraries as required. \n- Strong experience with data pipelines for large-scale processing and analysis.\n- Strong communication and organizational skills \n- Understanding of cloud job orchestration, monitoring, and instrumentation best-practices.\n- Open-minded and collaborative team player with the willingness to help others.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus Points:\n- Experience with ML pipelines, including dataset curation, labelling, training and evaluation. \n- Previous experience in self-driving technology or related fields.\n- Familiar with linear algebra (projections, transforms) and 3D geometry.\n- Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow/Apache Beam/Google Dataflow/AWS Step Functions).\n- Experience with with front end development\n- Experience working with open-set / embedding models and deploying them in a production setting\n- Experience working with infra as code (Terraform, CloudFormation, etc)\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
As a Software Engineer on our Labelling and Data Automation team, you will build pipelines, tools, and workflows to accelerate the development of our AI-first self-driving technology. The Labelling & Data Automation team plays a critical role in Waabi’s training pipeline. We are one of the first steps in the process of training machine learning models and are responsible for building practical, scalable tools and automation for extracting interesting and relevant data, creating high-quality ground truth labels, and providing this data to our expert machine learning scientists and engineers.
\n
\n\n
You will..
\n
- Design and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator.
\n
- Own the process, criteria, and tooling for efficiently finding interesting and relevant data across the petabytes of real world data that Waabi has collected
\n
- Build high reliability systems for extracting and labelling the interesting data with various vendors and integrate it back into our system
\n
- Work with both internal and third party stakeholders to define taxonomy, validation rules and success criteria for our labelling projects
\n
- Design and manage the end-to-end deployment of data solutions to deliver high quality labelled data for various ML teams to use in experiments and model improvement
\n
- Deploy open-set / embedding models to our production environment - empowering new search and curation modalities
\n
- Champion engineering excellence, ensuring high-quality, well structured, and tested code.
\n
- Contribute to project roadmap planning, prioritization, and delivery.
\n
\n
Qualifications:
\n
- 4+ years of industry experience.
\n
- Bachelor's in computer science, engineering, machine learning, or a related technical discipline.
\n
- Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.
\n
- A willingness and ability to learn new skills, technologies, and software libraries as required.
\n
- Strong experience with data pipelines for large-scale processing and analysis.
\n
- Strong communication and organizational skills
\n
- Understanding of cloud job orchestration, monitoring, and instrumentation best-practices.
\n
- Open-minded and collaborative team player with the willingness to help others.
\n
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
Bonus Points:
\n
- Experience with ML pipelines, including dataset curation, labelling, training and evaluation.
\n
- Previous experience in self-driving technology or related fields.
\n
- Familiar with linear algebra (projections, transforms) and 3D geometry.
\n
- Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow/Apache Beam/Google Dataflow/AWS Step Functions).
\n
- Experience with with front end development
\n
- Experience working with open-set / embedding models and deploying them in a production setting
\n
- Experience working with infra as code (Terraform, CloudFormation, etc)
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"As a Software Engineer on our Labelling and Data Automation team, you will build pipelines, tools, and workflows to accelerate the development of our AI-first self-driving technology. The Labelling & Data Automation team plays a critical role in Waabi’s training pipeline. We are one of the first steps in the process of training machine learning models and are responsible for building practical, scalable tools and automation for extracting interesting and relevant data, creating high-quality ground truth labels, and providing this data to our expert machine learning scientists and engineers.
\n
\n\n
You will..
\n
- Design and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator.
\n
- Own the process, criteria, and tooling for efficiently finding interesting and relevant data across the petabytes of real world data that Waabi has collected
\n
- Build high reliability systems for extracting and labelling the interesting data with various vendors and integrate it back into our system
\n
- Work with both internal and third party stakeholders to define taxonomy, validation rules and success criteria for our labelling projects
\n
- Design and manage the end-to-end deployment of data solutions to deliver high quality labelled data for various ML teams to use in experiments and model improvement
\n
- Deploy open-set / embedding models to our production environment - empowering new search and curation modalities
\n
- Champion engineering excellence, ensuring high-quality, well structured, and tested code.
\n
- Contribute to project roadmap planning, prioritization, and delivery.
\n
\n
Qualifications:
\n
- 4+ years of industry experience.
\n
- Bachelor's in computer science, engineering, machine learning, or a related technical discipline.
\n
- Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.
\n
- A willingness and ability to learn new skills, technologies, and software libraries as required.
\n
- Strong experience with data pipelines for large-scale processing and analysis.
\n
- Strong communication and organizational skills
\n
- Understanding of cloud job orchestration, monitoring, and instrumentation best-practices.
\n
- Open-minded and collaborative team player with the willingness to help others.
\n
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\n
Bonus Points:
\n
- Experience with ML pipelines, including dataset curation, labelling, training and evaluation.
\n
- Previous experience in self-driving technology or related fields.
\n
- Familiar with linear algebra (projections, transforms) and 3D geometry.
\n
- Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow/Apache Beam/Google Dataflow/AWS Step Functions).
\n
- Experience with with front end development
\n
- Experience working with open-set / embedding models and deploying them in a production setting
\n
- Experience working with infra as code (Terraform, CloudFormation, etc)
\n
The US yearly salary range for this role is: $175,000 - $240,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Commercial","location":"San Francisco, CA","team":"Commercial Products","allLocations":["San Francisco, CA","Dallas, TX"]},"createdAt":1778881056412,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nAbout the Role\nWaabi's Commercial Product team defines and delivers the end-to-end commercial product that makes autonomous trucking deployable, scalable, and valuable to customers. We sit between autonomy, operations, business development, and customers, turning driverless capability into a real-world product that can be launched, sold, operated, and scaled.\n\nWe are hiring a Staff Commercial Product Manager to own critical commercial product workstreams that bring the Waabi Driver to market. This person will define the operating models, service capabilities, partner workflows, and customer-facing product requirements required to bring the Waabi Driver to market and scale it from commercial pilots into a broader autonomous trucking network.\n\nThis is not a traditional software PM role. You will help define how autonomous trucking commercialization works in the real world: how trucks launch and land, how missions are monitored, how exceptions are handled, how customers are onboarded, how partners integrate, how sites are qualified, and how the product scales.\n \nWhat You'll Do\n\nYou will own high-impact commercial product workstreams end-to-end. Near-term areas of focus may include Command Center / fleet oversight, Life of a Load (end-to-end service delivery), launch and land operations, AV hubs and customer launch sites, Waabi Services (maintenance, inspections, roadside, data offload, mission support, customer operations), partner and ecosystem integration, and pilot-to-scale playbooks.\n\nAcross those workstreams, you will:\nDefine the \"how\" behind novel autonomous trucking challenges through process mapping, operating model design, requirements definition, and cross-functional alignment.\nTranslate customer, operations, autonomy, and business needs into clear product requirements and deployment plans.\nBuild structured frameworks for site readiness, service design, partner integration, customer onboarding, launch readiness, and operational scalability.\nBuild repeatable pilot-to-scale playbooks that move customers, lanes, and sites from pilot to qualified, mature, and driverless-ready deployments.\nLead cross-functional workstreams with autonomy, operations, engineering, business development, safety, legal, and external partners.\nDrive workshops with internal teams and external partners, including agenda design, decision framing, progress tracking, and follow-through.\nIdentify key tradeoffs across customer value, autonomy readiness, operational complexity, cost, speed, and long-term scalability.\nInform partnership requirements and operating models with OEMs, customers, service providers, and facility partners, in close partnership with BD.\nProduce executive-ready decision memos, operating playbooks, and product artifacts for your workstreams.\nWork closely with engineering and autonomy teams to understand technical constraints, risks, readiness levels, and product implications.\nCommunicate clearly with technical, operational, commercial, and executive audiences.\n\nWhat Success Looks Like\n\nSuccess in this role means you have helped Waabi move from promising autonomous capability to a commercially deployable trucking product. Specifically, you will have:\nTurned ambiguous commercial problems into clear product requirements, operating models, and execution plans.\nCreated scalable playbooks that reduce friction for future customers, lanes, sites, and partners.\nHelped internal teams make faster, better trade-off decisions.\nBuilt trust with operations, autonomy, engineering, commercial teams, and external partners.\nImproved Waabi’s ability to launch, operate, support, and scale driverless trucking missions.\nCreated artifacts and systems that become foundational to Waabi’s commercial deployment model.\n\nQualifications\nRequired\n8+ years in product management, operations, strategy, or program leadership in a complex technical/operational environment (autonomous vehicles, trucking, freight, logistics, robotics, or other physical-AI deployment)\nDemonstrated experience standing up an operating model from scratch in a physical-world business — services + workflows + tools, not just software\nTrack record of designing, launching, or scaling complex B2B products, services, programs, or operating models\nStrong systems thinking and first-principles judgment — able to break ambiguous problems into clear frameworks, requirements, decisions, and execution plans\nTrack record of leading cross-functional initiatives without formal authority\nExecutive-grade written and verbal communication\nHigh EQ, low ego, and bias toward ownership and action\n\nStrongly Preferred\nExperience with B2B enterprise customers, strategic partnerships, OEMs, or service provider ecosystems\nExperience designing operational processes, customer onboarding flows, service models, or scaled deployment playbooks\nZero-to-one product or program experience at an early-stage or scaling startup\nDirect experience in autonomous trucking, freight tech, or AV commercialization (vs. adjacent physical-AI domains)\nTrack record of owning end-to-end outcomes, not just deliverables (e.g., business unit, product line, or service area ownership).\n\nNice to have\nExperience working with internal or outsourced operations teams\nExperience standing up or scaling a Command Center, NOC, fleet operations function, or similar 24/7 operating environment\nMBA\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
About the Role
\n
Waabi's Commercial Product team defines and delivers the end-to-end commercial product that makes autonomous trucking deployable, scalable, and valuable to customers. We sit between autonomy, operations, business development, and customers, turning driverless capability into a real-world product that can be launched, sold, operated, and scaled.
\n
We are hiring a Staff Commercial Product Manager to own critical commercial product workstreams that bring the Waabi Driver to market. This person will define the operating models, service capabilities, partner workflows, and customer-facing product requirements required to bring the Waabi Driver to market and scale it from commercial pilots into a broader autonomous trucking network.
\n
This is not a traditional software PM role. You will help define how autonomous trucking commercialization works in the real world: how trucks launch and land, how missions are monitored, how exceptions are handled, how customers are onboarded, how partners integrate, how sites are qualified, and how the product scales.
\n
\n
What You'll Do
\n
You will own high-impact commercial product workstreams end-to-end. Near-term areas of focus may include Command Center / fleet oversight, Life of a Load (end-to-end service delivery), launch and land operations, AV hubs and customer launch sites, Waabi Services (maintenance, inspections, roadside, data offload, mission support, customer operations), partner and ecosystem integration, and pilot-to-scale playbooks.
\n
Across those workstreams, you will:
\n
\n- Define the \"how\" behind novel autonomous trucking challenges through process mapping, operating model design, requirements definition, and cross-functional alignment.
\n- Translate customer, operations, autonomy, and business needs into clear product requirements and deployment plans.
\n- Build structured frameworks for site readiness, service design, partner integration, customer onboarding, launch readiness, and operational scalability.
\n- Build repeatable pilot-to-scale playbooks that move customers, lanes, and sites from pilot to qualified, mature, and driverless-ready deployments.
\n- Lead cross-functional workstreams with autonomy, operations, engineering, business development, safety, legal, and external partners.
\n- Drive workshops with internal teams and external partners, including agenda design, decision framing, progress tracking, and follow-through.
\n- Identify key tradeoffs across customer value, autonomy readiness, operational complexity, cost, speed, and long-term scalability.
\n- Inform partnership requirements and operating models with OEMs, customers, service providers, and facility partners, in close partnership with BD.
\n- Produce executive-ready decision memos, operating playbooks, and product artifacts for your workstreams.
\n- Work closely with engineering and autonomy teams to understand technical constraints, risks, readiness levels, and product implications.
\n- Communicate clearly with technical, operational, commercial, and executive audiences.
\n
\n
What Success Looks Like
\n
Success in this role means you have helped Waabi move from promising autonomous capability to a commercially deployable trucking product. Specifically, you will have:
\n
\n- Turned ambiguous commercial problems into clear product requirements, operating models, and execution plans.
\n- Created scalable playbooks that reduce friction for future customers, lanes, sites, and partners.
\n- Helped internal teams make faster, better trade-off decisions.
\n- Built trust with operations, autonomy, engineering, commercial teams, and external partners.
\n- Improved Waabi’s ability to launch, operate, support, and scale driverless trucking missions.
\n- Created artifacts and systems that become foundational to Waabi’s commercial deployment model.
\n
\n
Qualifications
\n
Required
\n
\n- 8+ years in product management, operations, strategy, or program leadership in a complex technical/operational environment (autonomous vehicles, trucking, freight, logistics, robotics, or other physical-AI deployment)
\n- Demonstrated experience standing up an operating model from scratch in a physical-world business — services + workflows + tools, not just software
\n- Track record of designing, launching, or scaling complex B2B products, services, programs, or operating models
\n- Strong systems thinking and first-principles judgment — able to break ambiguous problems into clear frameworks, requirements, decisions, and execution plans
\n- Track record of leading cross-functional initiatives without formal authority
\n- Executive-grade written and verbal communication
\n- High EQ, low ego, and bias toward ownership and action
\n
\n
Strongly Preferred
\n
\n- Experience with B2B enterprise customers, strategic partnerships, OEMs, or service provider ecosystems
\n- Experience designing operational processes, customer onboarding flows, service models, or scaled deployment playbooks
\n- Zero-to-one product or program experience at an early-stage or scaling startup
\n- Direct experience in autonomous trucking, freight tech, or AV commercialization (vs. adjacent physical-AI domains)
\n- Track record of owning end-to-end outcomes, not just deliverables (e.g., business unit, product line, or service area ownership).
\n
\n
Nice to have
\n
\n- Experience working with internal or outsourced operations teams
\n- Experience standing up or scaling a Command Center, NOC, fleet operations function, or similar 24/7 operating environment
\n- MBA
\n
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
About the Role
\n
Waabi's Commercial Product team defines and delivers the end-to-end commercial product that makes autonomous trucking deployable, scalable, and valuable to customers. We sit between autonomy, operations, business development, and customers, turning driverless capability into a real-world product that can be launched, sold, operated, and scaled.
\n
We are hiring a Staff Commercial Product Manager to own critical commercial product workstreams that bring the Waabi Driver to market. This person will define the operating models, service capabilities, partner workflows, and customer-facing product requirements required to bring the Waabi Driver to market and scale it from commercial pilots into a broader autonomous trucking network.
\n
This is not a traditional software PM role. You will help define how autonomous trucking commercialization works in the real world: how trucks launch and land, how missions are monitored, how exceptions are handled, how customers are onboarded, how partners integrate, how sites are qualified, and how the product scales.
\n
\n
What You'll Do
\n
You will own high-impact commercial product workstreams end-to-end. Near-term areas of focus may include Command Center / fleet oversight, Life of a Load (end-to-end service delivery), launch and land operations, AV hubs and customer launch sites, Waabi Services (maintenance, inspections, roadside, data offload, mission support, customer operations), partner and ecosystem integration, and pilot-to-scale playbooks.
\n
Across those workstreams, you will:
\n
\n- Define the \"how\" behind novel autonomous trucking challenges through process mapping, operating model design, requirements definition, and cross-functional alignment.
\n- Translate customer, operations, autonomy, and business needs into clear product requirements and deployment plans.
\n- Build structured frameworks for site readiness, service design, partner integration, customer onboarding, launch readiness, and operational scalability.
\n- Build repeatable pilot-to-scale playbooks that move customers, lanes, and sites from pilot to qualified, mature, and driverless-ready deployments.
\n- Lead cross-functional workstreams with autonomy, operations, engineering, business development, safety, legal, and external partners.
\n- Drive workshops with internal teams and external partners, including agenda design, decision framing, progress tracking, and follow-through.
\n- Identify key tradeoffs across customer value, autonomy readiness, operational complexity, cost, speed, and long-term scalability.
\n- Inform partnership requirements and operating models with OEMs, customers, service providers, and facility partners, in close partnership with BD.
\n- Produce executive-ready decision memos, operating playbooks, and product artifacts for your workstreams.
\n- Work closely with engineering and autonomy teams to understand technical constraints, risks, readiness levels, and product implications.
\n- Communicate clearly with technical, operational, commercial, and executive audiences.
\n
\n
What Success Looks Like
\n
Success in this role means you have helped Waabi move from promising autonomous capability to a commercially deployable trucking product. Specifically, you will have:
\n
\n- Turned ambiguous commercial problems into clear product requirements, operating models, and execution plans.
\n- Created scalable playbooks that reduce friction for future customers, lanes, sites, and partners.
\n- Helped internal teams make faster, better trade-off decisions.
\n- Built trust with operations, autonomy, engineering, commercial teams, and external partners.
\n- Improved Waabi’s ability to launch, operate, support, and scale driverless trucking missions.
\n- Created artifacts and systems that become foundational to Waabi’s commercial deployment model.
\n
\n
Qualifications
\n
Required
\n
\n- 8+ years in product management, operations, strategy, or program leadership in a complex technical/operational environment (autonomous vehicles, trucking, freight, logistics, robotics, or other physical-AI deployment)
\n- Demonstrated experience standing up an operating model from scratch in a physical-world business — services + workflows + tools, not just software
\n- Track record of designing, launching, or scaling complex B2B products, services, programs, or operating models
\n- Strong systems thinking and first-principles judgment — able to break ambiguous problems into clear frameworks, requirements, decisions, and execution plans
\n- Track record of leading cross-functional initiatives without formal authority
\n- Executive-grade written and verbal communication
\n- High EQ, low ego, and bias toward ownership and action
\n
\n
Strongly Preferred
\n
\n- Experience with B2B enterprise customers, strategic partnerships, OEMs, or service provider ecosystems
\n- Experience designing operational processes, customer onboarding flows, service models, or scaled deployment playbooks
\n- Zero-to-one product or program experience at an early-stage or scaling startup
\n- Direct experience in autonomous trucking, freight tech, or AV commercialization (vs. adjacent physical-AI domains)
\n- Track record of owning end-to-end outcomes, not just deliverables (e.g., business unit, product line, or service area ownership).
\n
\n
Nice to have
\n
\n- Experience working with internal or outsourced operations teams
\n- Experience standing up or scaling a Command Center, NOC, fleet operations function, or similar 24/7 operating environment
\n- MBA
\n
\n
The US yearly salary range for this role is: $245,000 - $285,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Software","location":"Remote US & Canada","team":"Autonomy & Algorithms","allLocations":["Remote US & Canada","Toronto, ON","San Francisco, CA","Pittsburgh, PA","Phoenix, AZ","Dallas, TX"]},"createdAt":1787863264116,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\nLead the SW Quality of our Planner Architecture, focusing on building robust fault-tolerance systems to resolve critical downstream/upstream performance bottlenecks and ensure continuous, safe vehicle operation.\nAct as a critical technical bridge and enabler between the Motion Planning and the Onboard SW Teams, driving overall SW quality improvement and reliability.\nDesign and develop motion planning software and algorithms, building the brain which orchestrates decision making in dynamic, uncertain and interactive traffic scenarios.\nBe part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.\nManage the experimentation pipeline for research and data generation. \n \nQualifications:\nMS/PhD or Bachelor degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.\nExperience owning software on a shipped product with reliability requirements.\nStrong grasp of software engineering principles (i.e. code review, unit testing, scalability, maintainability, SW architecture, full lifecycle).\nExperience in planning/decision making approaches (e.g., optimal control, optimization based approaches, search methods, probabilistic decision making).\nProduction-quality coding skill in Python or C++.\nOpen-minded and collaborative team player with the willingness to help others.\nAble to maintain progress towards long-term goals while working on short-term problems.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will...
\n\n- Lead the SW Quality of our Planner Architecture, focusing on building robust fault-tolerance systems to resolve critical downstream/upstream performance bottlenecks and ensure continuous, safe vehicle operation.
\n- Act as a critical technical bridge and enabler between the Motion Planning and the Onboard SW Teams, driving overall SW quality improvement and reliability.
\n- Design and develop motion planning software and algorithms, building the brain which orchestrates decision making in dynamic, uncertain and interactive traffic scenarios.
\n- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
\n- Manage the experimentation pipeline for research and data generation.
\n
\n
\nQualifications:
\n\n- MS/PhD or Bachelor degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
\n- Experience owning software on a shipped product with reliability requirements.
\n- Strong grasp of software engineering principles (i.e. code review, unit testing, scalability, maintainability, SW architecture, full lifecycle).
\n- Experience in planning/decision making approaches (e.g., optimal control, optimization based approaches, search methods, probabilistic decision making).
\n- Production-quality coding skill in Python or C++.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Able to maintain progress towards long-term goals while working on short-term problems.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
","id":"d2f56f1c-a65b-469d-8d25-eedad7b67559","lists":[],"text":"Staff Planner SW Quality Architect","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will...
\n\n- Lead the SW Quality of our Planner Architecture, focusing on building robust fault-tolerance systems to resolve critical downstream/upstream performance bottlenecks and ensure continuous, safe vehicle operation.
\n- Act as a critical technical bridge and enabler between the Motion Planning and the Onboard SW Teams, driving overall SW quality improvement and reliability.
\n- Design and develop motion planning software and algorithms, building the brain which orchestrates decision making in dynamic, uncertain and interactive traffic scenarios.
\n- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
\n- Manage the experimentation pipeline for research and data generation.
\n
\n
\nQualifications:
\n\n- MS/PhD or Bachelor degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
\n- Experience owning software on a shipped product with reliability requirements.
\n- Strong grasp of software engineering principles (i.e. code review, unit testing, scalability, maintainability, SW architecture, full lifecycle).
\n- Experience in planning/decision making approaches (e.g., optimal control, optimization based approaches, search methods, probabilistic decision making).
\n- Production-quality coding skill in Python or C++.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Able to maintain progress towards long-term goals while working on short-term problems.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
","descriptionBodyPlain":"You will...\nLead the SW Quality of our Planner Architecture, focusing on building robust fault-tolerance systems to resolve critical downstream/upstream performance bottlenecks and ensure continuous, safe vehicle operation.\nAct as a critical technical bridge and enabler between the Motion Planning and the Onboard SW Teams, driving overall SW quality improvement and reliability.\nDesign and develop motion planning software and algorithms, building the brain which orchestrates decision making in dynamic, uncertain and interactive traffic scenarios.\nBe part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.\nManage the experimentation pipeline for research and data generation. \n \nQualifications:\nMS/PhD or Bachelor degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.\nExperience owning software on a shipped product with reliability requirements.\nStrong grasp of software engineering principles (i.e. code review, unit testing, scalability, maintainability, SW architecture, full lifecycle).\nExperience in planning/decision making approaches (e.g., optimal control, optimization based approaches, search methods, probabilistic decision making).\nProduction-quality coding skill in Python or C++.\nOpen-minded and collaborative team player with the willingness to help others.\nAble to maintain progress towards long-term goals while working on short-term problems.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n","country":null,"hostedUrl":"https://jobs.lever.co/waabi/d2f56f1c-a65b-469d-8d25-eedad7b67559","applyUrl":"https://jobs.lever.co/waabi/d2f56f1c-a65b-469d-8d25-eedad7b67559/apply"},{"additionalPlain":"The US yearly salary range for this role is: $189,000 - $242,000 USD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.\n\n\nPerks/Benefits:\nWaabi provides a competitive benefits package that includes:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits that include Medical, Vision and Dental coverage.\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n \n","additional":"The US yearly salary range for this role is: $189,000 - $242,000 USD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.
Perks/Benefits:
\nWaabi provides a competitive benefits package that includes:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits that include Medical, Vision and Dental coverage.
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
\n
","categories":{"commitment":"Full-time","department":"Systems Engineering and Safety","location":"Remote US","team":"Safety","allLocations":["Remote US","Remote Canada","Dallas, TX","Phoenix, AZ","Pittsburgh, PA","San Francisco, CA","Toronto, ON"]},"createdAt":1787861983486,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nAt the heart of our mission is an unwavering commitment to safety. We are seeking a practical and decisive systems engineer to bridge the gap between our AI development and trucking operations. You will lead the definition of operational procedures, deep-dive investigations into field events, and inform when and where our autonomy is ready to deploy.\n \nYou will...\n- Lead Field Safety at Waabi by proactively establishing processes to escalate issues, reacting to any fleet issues in the field and owning Waabi's incident response.\n- Define and conduct operational readiness testing for Waabi's autonomous vehicle operations and create the necessary evidence in the readiness framework.\n- Work with operations and software teams to define protocols for nominal and off-nominal situations (e.g., severe weather response, sensor degradation, connectivity outages, and trip interruptions).\n- Create processes for ongoing field safety monitoring and support the establishment of leading and lagging safety indicators and tooling needed.\n- Analyze operational trends and past field events to drive systemic safety enhancements across both development and operations.\n- Support the Operations team in developing and executing incident response training and operational preparedness activities. \n- Interface with regulatory bodies and contribute to industry standards discussions around AV operational safety validation approaches.\n \nQualifications:\n- Undergrad in Robotics, Mechanical Engineering, Aerospace Engineering, or related technical field; advanced degree preferred.\n- 7+ years of experience in safety-critical system development, validation, or operations.\n- Strong understanding of systems engineering principles including requirements decomposition, V&V processes, and hazard analysis techniques (HAZOP, FMEA, FTA, STPA, etc.).\n- Familiarity with relevant safety standards (ISO 26262, ISO 21448/SOTIF, UL 4600).\n- Experience monitoring safety metrics and designing/executing test plans for complex autonomous or robotic systems.\nExcellent technical communication skills with ability to present complex safety arguments to diverse stakeholders.\n- Strong project management skills and ability to coordinate across multiple technical teams.\n- Track record of driving high-stakes engineering decisions with incomplete information.\n \nBonus:\n- Direct experience with autonomous vehicle safety validation or deployment.\n- Previous work in trucking, logistics, or commercial vehicle operations.\n- Experience with operational safety management systems. \n- Knowledge of regulatory frameworks for autonomous vehicles (FMVSS, SAE standards, state/provincial regulations). \n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
At the heart of our mission is an unwavering commitment to safety. We are seeking a practical and decisive systems engineer to bridge the gap between our AI development and trucking operations. You will lead the definition of operational procedures, deep-dive investigations into field events, and inform when and where our autonomy is ready to deploy.
\n
\n
You will...
\n
- Lead Field Safety at Waabi by proactively establishing processes to escalate issues, reacting to any fleet issues in the field and owning Waabi's incident response.
\n
- Define and conduct operational readiness testing for Waabi's autonomous vehicle operations and create the necessary evidence in the readiness framework.
\n
- Work with operations and software teams to define protocols for nominal and off-nominal situations (e.g., severe weather response, sensor degradation, connectivity outages, and trip interruptions).
\n
- Create processes for ongoing field safety monitoring and support the establishment of leading and lagging safety indicators and tooling needed.
\n
- Analyze operational trends and past field events to drive systemic safety enhancements across both development and operations.
\n
- Support the Operations team in developing and executing incident response training and operational preparedness activities.
\n
- Interface with regulatory bodies and contribute to industry standards discussions around AV operational safety validation approaches.
\n
\n
Qualifications:
\n
- Undergrad in Robotics, Mechanical Engineering, Aerospace Engineering, or related technical field; advanced degree preferred.
\n
- 7+ years of experience in safety-critical system development, validation, or operations.
\n
- Strong understanding of systems engineering principles including requirements decomposition, V&V processes, and hazard analysis techniques (HAZOP, FMEA, FTA, STPA, etc.).
\n
- Familiarity with relevant safety standards (ISO 26262, ISO 21448/SOTIF, UL 4600).
\n
- Experience monitoring safety metrics and designing/executing test plans for complex autonomous or robotic systems.
\n
Excellent technical communication skills with ability to present complex safety arguments to diverse stakeholders.
\n
- Strong project management skills and ability to coordinate across multiple technical teams.
\n
- Track record of driving high-stakes engineering decisions with incomplete information.
\n
\n
Bonus:
\n
- Direct experience with autonomous vehicle safety validation or deployment.
\n
- Previous work in trucking, logistics, or commercial vehicle operations.
\n
- Experience with operational safety management systems.
\n
- Knowledge of regulatory frameworks for autonomous vehicles (FMVSS, SAE standards, state/provincial regulations).
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
At the heart of our mission is an unwavering commitment to safety. We are seeking a practical and decisive systems engineer to bridge the gap between our AI development and trucking operations. You will lead the definition of operational procedures, deep-dive investigations into field events, and inform when and where our autonomy is ready to deploy.
\n
\n
You will...
\n
- Lead Field Safety at Waabi by proactively establishing processes to escalate issues, reacting to any fleet issues in the field and owning Waabi's incident response.
\n
- Define and conduct operational readiness testing for Waabi's autonomous vehicle operations and create the necessary evidence in the readiness framework.
\n
- Work with operations and software teams to define protocols for nominal and off-nominal situations (e.g., severe weather response, sensor degradation, connectivity outages, and trip interruptions).
\n
- Create processes for ongoing field safety monitoring and support the establishment of leading and lagging safety indicators and tooling needed.
\n
- Analyze operational trends and past field events to drive systemic safety enhancements across both development and operations.
\n
- Support the Operations team in developing and executing incident response training and operational preparedness activities.
\n
- Interface with regulatory bodies and contribute to industry standards discussions around AV operational safety validation approaches.
\n
\n
Qualifications:
\n
- Undergrad in Robotics, Mechanical Engineering, Aerospace Engineering, or related technical field; advanced degree preferred.
\n
- 7+ years of experience in safety-critical system development, validation, or operations.
\n
- Strong understanding of systems engineering principles including requirements decomposition, V&V processes, and hazard analysis techniques (HAZOP, FMEA, FTA, STPA, etc.).
\n
- Familiarity with relevant safety standards (ISO 26262, ISO 21448/SOTIF, UL 4600).
\n
- Experience monitoring safety metrics and designing/executing test plans for complex autonomous or robotic systems.
\n
Excellent technical communication skills with ability to present complex safety arguments to diverse stakeholders.
\n
- Strong project management skills and ability to coordinate across multiple technical teams.
\n
- Track record of driving high-stakes engineering decisions with incomplete information.
\n
\n
Bonus:
\n
- Direct experience with autonomous vehicle safety validation or deployment.
\n
- Previous work in trucking, logistics, or commercial vehicle operations.
\n
- Experience with operational safety management systems.
\n
- Knowledge of regulatory frameworks for autonomous vehicles (FMVSS, SAE standards, state/provincial regulations).
\n
The US yearly salary range for this role is: $200,000 - $256,000 USD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.
Perks/Benefits:
\nWaabi provides a competitive benefits package that includes:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits that include Medical, Vision and Dental coverage.
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
\n
","categories":{"commitment":"Full-time","department":"Systems Engineering and Safety","location":"Remote US & Canada","team":"Safety","allLocations":["Remote US & Canada","Dallas, TX","Phoenix, AZ","Pittsburgh, PA","San Francisco, CA","Toronto, ON"]},"createdAt":1789159418027,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nAt the heart of our mission is an unwavering commitment to safety. We are seeking a passionate and experienced safety or systems engineer to spearhead the development and implementation of critical safety framework methods that underpin our driverless autonomy readiness decisions. This is a unique opportunity to shape how Waabi quantitatively ensures and validates the safety of our autonomous trucking solution, working with our highly realistic simulator, real-world data, and cutting-edge generative AI techniques. You will play a pivotal role in creating the evidence for safe operation and leading efforts in a rapidly evolving and groundbreaking field.\n\nYou will...\nInform driverless release testing by developing sample-efficient, high-signal safety datasets across simulation and closed-course track testing.\nEstablish and manage a robust feedback loop from on-road monitoring and safety relevant events to continuously expand and refine test coverage.\nValidate and optimize safety evaluation pipelines by conducting comparative analyses on core safety frameworks and benchmark criteria to continuously evolve our safety frameworks.\nOwn the creation of clear and structured safety artifacts, ensuring all readiness decisions are transparent and fully traceable to validation evidence.\nMentor peers by fostering a culture of technical excellence and driving clear, constructive collaboration between teams.\n\nQualifications:\nUndergrad required; Masters or PhD within an engineering discipline preferred.\n7+ years of automotive, robotics or closely related industry experience.\nExperience with using simulation and real-world testing to make readiness decisions.\nExcellent scripting and data analysis skills (Python, SQL), and a solid foundation in statistics.\nExperience with building a strong safety case for autonomous vehicles.\nAbility to communicate complex concepts or data in a simple-yet-accurate manner.\nCollaborative team player who works effectively across functional boundaries, driving evidence-backed decisions.\nPassionate about autonomy, solving hard problems, and creating innovative solutions.\n\nBonus:\nExperience in launching a driverless product.\nExperience implementing software systems components.\nExperience building software systems from scratch.\nExperience in machine learning.\nProficiency with data mining and advanced statistical analysis.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
At the heart of our mission is an unwavering commitment to safety. We are seeking a passionate and experienced safety or systems engineer to spearhead the development and implementation of critical safety framework methods that underpin our driverless autonomy readiness decisions. This is a unique opportunity to shape how Waabi quantitatively ensures and validates the safety of our autonomous trucking solution, working with our highly realistic simulator, real-world data, and cutting-edge generative AI techniques. You will play a pivotal role in creating the evidence for safe operation and leading efforts in a rapidly evolving and groundbreaking field.
\nYou will...
\n\n- Inform driverless release testing by developing sample-efficient, high-signal safety datasets across simulation and closed-course track testing.
\n- Establish and manage a robust feedback loop from on-road monitoring and safety relevant events to continuously expand and refine test coverage.
\n- Validate and optimize safety evaluation pipelines by conducting comparative analyses on core safety frameworks and benchmark criteria to continuously evolve our safety frameworks.
\n- Own the creation of clear and structured safety artifacts, ensuring all readiness decisions are transparent and fully traceable to validation evidence.
\n- Mentor peers by fostering a culture of technical excellence and driving clear, constructive collaboration between teams.
\n
\nQualifications:
\n\n- Undergrad required; Masters or PhD within an engineering discipline preferred.
\n- 7+ years of automotive, robotics or closely related industry experience.
\n- Experience with using simulation and real-world testing to make readiness decisions.
\n- Excellent scripting and data analysis skills (Python, SQL), and a solid foundation in statistics.
\n- Experience with building a strong safety case for autonomous vehicles.
\n- Ability to communicate complex concepts or data in a simple-yet-accurate manner.
\n- Collaborative team player who works effectively across functional boundaries, driving evidence-backed decisions.
\n- Passionate about autonomy, solving hard problems, and creating innovative solutions.
\n
\nBonus:
\n\n- Experience in launching a driverless product.
\n- Experience implementing software systems components.
\n- Experience building software systems from scratch.
\n- Experience in machine learning.
\n- Proficiency with data mining and advanced statistical analysis.
\n
","id":"cb383962-ad2d-40ab-93ce-e3aead4b3838","lists":[],"text":"Staff Systems Engineer - Safety Methodologies","workplaceType":"hybrid","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"At the heart of our mission is an unwavering commitment to safety. We are seeking a passionate and experienced safety or systems engineer to spearhead the development and implementation of critical safety framework methods that underpin our driverless autonomy readiness decisions. This is a unique opportunity to shape how Waabi quantitatively ensures and validates the safety of our autonomous trucking solution, working with our highly realistic simulator, real-world data, and cutting-edge generative AI techniques. You will play a pivotal role in creating the evidence for safe operation and leading efforts in a rapidly evolving and groundbreaking field.
\nYou will...
\n\n- Inform driverless release testing by developing sample-efficient, high-signal safety datasets across simulation and closed-course track testing.
\n- Establish and manage a robust feedback loop from on-road monitoring and safety relevant events to continuously expand and refine test coverage.
\n- Validate and optimize safety evaluation pipelines by conducting comparative analyses on core safety frameworks and benchmark criteria to continuously evolve our safety frameworks.
\n- Own the creation of clear and structured safety artifacts, ensuring all readiness decisions are transparent and fully traceable to validation evidence.
\n- Mentor peers by fostering a culture of technical excellence and driving clear, constructive collaboration between teams.
\n
\nQualifications:
\n\n- Undergrad required; Masters or PhD within an engineering discipline preferred.
\n- 7+ years of automotive, robotics or closely related industry experience.
\n- Experience with using simulation and real-world testing to make readiness decisions.
\n- Excellent scripting and data analysis skills (Python, SQL), and a solid foundation in statistics.
\n- Experience with building a strong safety case for autonomous vehicles.
\n- Ability to communicate complex concepts or data in a simple-yet-accurate manner.
\n- Collaborative team player who works effectively across functional boundaries, driving evidence-backed decisions.
\n- Passionate about autonomy, solving hard problems, and creating innovative solutions.
\n
\nBonus:
\n\n- Experience in launching a driverless product.
\n- Experience implementing software systems components.
\n- Experience building software systems from scratch.
\n- Experience in machine learning.
\n- Proficiency with data mining and advanced statistical analysis.
\n
","descriptionBodyPlain":"At the heart of our mission is an unwavering commitment to safety. We are seeking a passionate and experienced safety or systems engineer to spearhead the development and implementation of critical safety framework methods that underpin our driverless autonomy readiness decisions. This is a unique opportunity to shape how Waabi quantitatively ensures and validates the safety of our autonomous trucking solution, working with our highly realistic simulator, real-world data, and cutting-edge generative AI techniques. You will play a pivotal role in creating the evidence for safe operation and leading efforts in a rapidly evolving and groundbreaking field.\n\nYou will...\nInform driverless release testing by developing sample-efficient, high-signal safety datasets across simulation and closed-course track testing.\nEstablish and manage a robust feedback loop from on-road monitoring and safety relevant events to continuously expand and refine test coverage.\nValidate and optimize safety evaluation pipelines by conducting comparative analyses on core safety frameworks and benchmark criteria to continuously evolve our safety frameworks.\nOwn the creation of clear and structured safety artifacts, ensuring all readiness decisions are transparent and fully traceable to validation evidence.\nMentor peers by fostering a culture of technical excellence and driving clear, constructive collaboration between teams.\n\nQualifications:\nUndergrad required; Masters or PhD within an engineering discipline preferred.\n7+ years of automotive, robotics or closely related industry experience.\nExperience with using simulation and real-world testing to make readiness decisions.\nExcellent scripting and data analysis skills (Python, SQL), and a solid foundation in statistics.\nExperience with building a strong safety case for autonomous vehicles.\nAbility to communicate complex concepts or data in a simple-yet-accurate manner.\nCollaborative team player who works effectively across functional boundaries, driving evidence-backed decisions.\nPassionate about autonomy, solving hard problems, and creating innovative solutions.\n\nBonus:\nExperience in launching a driverless product.\nExperience implementing software systems components.\nExperience building software systems from scratch.\nExperience in machine learning.\nProficiency with data mining and advanced statistical analysis.\n","country":null,"hostedUrl":"https://jobs.lever.co/waabi/cb383962-ad2d-40ab-93ce-e3aead4b3838","applyUrl":"https://jobs.lever.co/waabi/cb383962-ad2d-40ab-93ce-e3aead4b3838/apply"},{"additionalPlain":"The US yearly salary range for this role is: $160,000 - $260,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"\n
The US yearly salary range for this role is: $160,000 - $260,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
\n
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Hardware","location":"San Francisco, CA","team":"Embedded Hardware Engineering","allLocations":["San Francisco, CA","Pittsburgh, PA"]},"createdAt":1785869415695,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWaabi builds generative AI for the physical world, starting with autonomous trucks. The intelligence only ships if the system underneath it is safe by design — and that safety has to be carried all the way down, from the vehicle-level safety concept into the embedded platform's requirements, architecture, and interfaces.\nAs a Systems Engineer on our Embedded Systems team, you'll own that translation. Our overarching systems and safety group defines the vehicle-level safety concept — the hazard analysis, the safety goals, the functional safety concept. You'll be their embedded counterpart: taking that concept and decomposing it into an embedded architecture and technical safety requirements that our electrical engineering and embedded software groups can build against. You'll live on the left side of the ISO 26262 V at the embedded level, turning a functional safety concept into technical requirements and a hardware/software architecture the whole team can trust — and you'll be the person who keeps the embedded org fluent in the wider world of automotive standards.\nYou Will…\nPartner with the systems and safety group. Take the vehicle-level safety concept, safety goals, and functional safety requirements as your inputs, and feed embedded expertise back into their hazard analysis and concept work. You're the bridge between their concept and our hardware and firmware.\nOwn the embedded technical safety concept. Derive technical safety requirements from the functional safety concept allocated to the embedded system, and allocate each to the right architectural element.\nArchitect across hardware and software. Define the embedded system architecture and the hardware/software partition, including the hardware-software interface (HSI), so both groups design against one coherent picture.\nManage requirements and traceability. Maintain bidirectional traceability from the safety goals handed down to you all the way to hardware and software requirements, and keep the work products that feed the safety case.\nSteward automotive standards for the embedded org. Stay current on the standards that apply to our work — functional safety, SOTIF, cybersecurity, autonomous-product safety, process and component qualification — and fold them into how the embedded team designs, documents, and works day to day.\nSet up the right side of the V. Your requirements and architecture define what verification and validation later prove. You'll partner closely with the V&V effort — and support Development Interface Agreements (DIAs) with OEM partners and suppliers — without owning the downstream test execution yourself.\nQualifications\nBS/MS in Electrical Engineering, Computer Engineering, Systems Engineering, or a related field — or equivalent hands-on experience.\n8+ years in embedded systems, with real depth spanning both hardware and software.\nStrong ISO 26262 experience concentrated on the system-design phase (Part 4) and its handoffs to hardware (Part 5) and software (Part 6): deriving technical safety requirements from a functional safety concept, system architectural design, and hardware/software allocation.\nWorking familiarity with the broader automotive standards landscape — and the judgment to operationalize it — including SOTIF (ISO 21448), automotive cybersecurity (ISO/SAE 21434), autonomous-product safety cases (UL 4600), Automotive SPICE (ASPICE), and component/coding standards such as AEC-Q10.\nFluency with requirements management and traceability — you've lived in a tool like Polarion and know why traceability matters when the safety case is questioned.\nEnough range to read a schematic and reason about embedded C/C++/Rust, so your hardware/software partitioning is grounded in what each side can actually implement.\nA clear grasp of the full V, so the left-side work you produce genuinely sets the right side up to succeed.\nNice-to-haves\nExperience standing up or maturing a standard (ASPICE, 21434, or similar) inside an engineering org, not just complying with one.\nSysML or model-based systems engineering.\nAV, ADAS, or other complex safety-critical domain experience.\nDirect experience authoring or negotiating DIAs with an OEM.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
Waabi builds generative AI for the physical world, starting with autonomous trucks. The intelligence only ships if the system underneath it is safe by design — and that safety has to be carried all the way down, from the vehicle-level safety concept into the embedded platform's requirements, architecture, and interfaces.
\nAs a Systems Engineer on our Embedded Systems team, you'll own that translation. Our overarching systems and safety group defines the vehicle-level safety concept — the hazard analysis, the safety goals, the functional safety concept. You'll be their embedded counterpart: taking that concept and decomposing it into an embedded architecture and technical safety requirements that our electrical engineering and embedded software groups can build against. You'll live on the left side of the ISO 26262 V at the embedded level, turning a functional safety concept into technical requirements and a hardware/software architecture the whole team can trust — and you'll be the person who keeps the embedded org fluent in the wider world of automotive standards.
\nYou Will…
\n\n- \n
Partner with the systems and safety group. Take the vehicle-level safety concept, safety goals, and functional safety requirements as your inputs, and feed embedded expertise back into their hazard analysis and concept work. You're the bridge between their concept and our hardware and firmware.
\n \n- \n
Own the embedded technical safety concept. Derive technical safety requirements from the functional safety concept allocated to the embedded system, and allocate each to the right architectural element.
\n \n- \n
Architect across hardware and software. Define the embedded system architecture and the hardware/software partition, including the hardware-software interface (HSI), so both groups design against one coherent picture.
\n \n- \n
Manage requirements and traceability. Maintain bidirectional traceability from the safety goals handed down to you all the way to hardware and software requirements, and keep the work products that feed the safety case.
\n \n- \n
Steward automotive standards for the embedded org. Stay current on the standards that apply to our work — functional safety, SOTIF, cybersecurity, autonomous-product safety, process and component qualification — and fold them into how the embedded team designs, documents, and works day to day.
\n \n- \n
Set up the right side of the V. Your requirements and architecture define what verification and validation later prove. You'll partner closely with the V&V effort — and support Development Interface Agreements (DIAs) with OEM partners and suppliers — without owning the downstream test execution yourself.
\n \n
\nQualifications
\n\n- \n
BS/MS in Electrical Engineering, Computer Engineering, Systems Engineering, or a related field — or equivalent hands-on experience.
\n \n- \n
8+ years in embedded systems, with real depth spanning both hardware and software.
\n \n- \n
Strong ISO 26262 experience concentrated on the system-design phase (Part 4) and its handoffs to hardware (Part 5) and software (Part 6): deriving technical safety requirements from a functional safety concept, system architectural design, and hardware/software allocation.
\n \n- \n
Working familiarity with the broader automotive standards landscape — and the judgment to operationalize it — including SOTIF (ISO 21448), automotive cybersecurity (ISO/SAE 21434), autonomous-product safety cases (UL 4600), Automotive SPICE (ASPICE), and component/coding standards such as AEC-Q10.
\n \n- \n
Fluency with requirements management and traceability — you've lived in a tool like Polarion and know why traceability matters when the safety case is questioned.
\n \n- Enough range to read a schematic and reason about embedded C/C++/Rust, so your hardware/software partitioning is grounded in what each side can actually implement.
\n- \n
A clear grasp of the full V, so the left-side work you produce genuinely sets the right side up to succeed.
\n \n
\n\n
Nice-to-haves
\n
\n- \n
Experience standing up or maturing a standard (ASPICE, 21434, or similar) inside an engineering org, not just complying with one.
\n \n- \n
SysML or model-based systems engineering.
\n \n- AV, ADAS, or other complex safety-critical domain experience.
\n- \n
Direct experience authoring or negotiating DIAs with an OEM.
\n \n
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"Waabi builds generative AI for the physical world, starting with autonomous trucks. The intelligence only ships if the system underneath it is safe by design — and that safety has to be carried all the way down, from the vehicle-level safety concept into the embedded platform's requirements, architecture, and interfaces.
\nAs a Systems Engineer on our Embedded Systems team, you'll own that translation. Our overarching systems and safety group defines the vehicle-level safety concept — the hazard analysis, the safety goals, the functional safety concept. You'll be their embedded counterpart: taking that concept and decomposing it into an embedded architecture and technical safety requirements that our electrical engineering and embedded software groups can build against. You'll live on the left side of the ISO 26262 V at the embedded level, turning a functional safety concept into technical requirements and a hardware/software architecture the whole team can trust — and you'll be the person who keeps the embedded org fluent in the wider world of automotive standards.
\nYou Will…
\n\n- \n
Partner with the systems and safety group. Take the vehicle-level safety concept, safety goals, and functional safety requirements as your inputs, and feed embedded expertise back into their hazard analysis and concept work. You're the bridge between their concept and our hardware and firmware.
\n \n- \n
Own the embedded technical safety concept. Derive technical safety requirements from the functional safety concept allocated to the embedded system, and allocate each to the right architectural element.
\n \n- \n
Architect across hardware and software. Define the embedded system architecture and the hardware/software partition, including the hardware-software interface (HSI), so both groups design against one coherent picture.
\n \n- \n
Manage requirements and traceability. Maintain bidirectional traceability from the safety goals handed down to you all the way to hardware and software requirements, and keep the work products that feed the safety case.
\n \n- \n
Steward automotive standards for the embedded org. Stay current on the standards that apply to our work — functional safety, SOTIF, cybersecurity, autonomous-product safety, process and component qualification — and fold them into how the embedded team designs, documents, and works day to day.
\n \n- \n
Set up the right side of the V. Your requirements and architecture define what verification and validation later prove. You'll partner closely with the V&V effort — and support Development Interface Agreements (DIAs) with OEM partners and suppliers — without owning the downstream test execution yourself.
\n \n
\nQualifications
\n\n- \n
BS/MS in Electrical Engineering, Computer Engineering, Systems Engineering, or a related field — or equivalent hands-on experience.
\n \n- \n
8+ years in embedded systems, with real depth spanning both hardware and software.
\n \n- \n
Strong ISO 26262 experience concentrated on the system-design phase (Part 4) and its handoffs to hardware (Part 5) and software (Part 6): deriving technical safety requirements from a functional safety concept, system architectural design, and hardware/software allocation.
\n \n- \n
Working familiarity with the broader automotive standards landscape — and the judgment to operationalize it — including SOTIF (ISO 21448), automotive cybersecurity (ISO/SAE 21434), autonomous-product safety cases (UL 4600), Automotive SPICE (ASPICE), and component/coding standards such as AEC-Q10.
\n \n- \n
Fluency with requirements management and traceability — you've lived in a tool like Polarion and know why traceability matters when the safety case is questioned.
\n \n- Enough range to read a schematic and reason about embedded C/C++/Rust, so your hardware/software partitioning is grounded in what each side can actually implement.
\n- \n
A clear grasp of the full V, so the left-side work you produce genuinely sets the right side up to succeed.
\n \n
\n\n
Nice-to-haves
\n
\n- \n
Experience standing up or maturing a standard (ASPICE, 21434, or similar) inside an engineering org, not just complying with one.
\n \n- \n
SysML or model-based systems engineering.
\n \n- AV, ADAS, or other complex safety-critical domain experience.
\n- \n
Direct experience authoring or negotiating DIAs with an OEM.
\n \n
\n
Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Systems Engineering and Safety","location":"Remote US","team":"Systems Engineering","allLocations":["Remote US","Remote Canada","Toronto, ON","San Francisco, CA","Pittsburgh, PA","Phoenix, AZ","Dallas, TX"]},"createdAt":1755531106910,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will…\n- Own the creation, documentation, alignment and verification of vehicle platform requirements at Waabi and define ways for how to describe and evaluate them efficiently and effectively\n- Bring an in-depth understanding of sensors, compute and actuators used in self-driving vehicles and drive an architecture with requirements that generate a simple yet very safe highly autonomous vehicle platform\n- Act as a central point of contact at Waabi for specific vehicle platform requirements and related tests and communicate updates, progress and potential roadblocks to stakeholders at all levels\n- Help drive Waabi’s safety culture through application of safety standards and methodologies in your area of responsibility across all supporting teams at Waabi including Systems Engineering, Hardware and Software\n- Define necessary improvements for our highly realistic simulator to effectively verify most vehicle platform aspects under all required conditions and work with other teams at Waabi to get these improvements designed and implemented\n- Own the writing and tracking of tests and test executions in line with company project milestones\n- Continuously evaluate and enhance Waabi’s vehicle platform capabilities, look for novel approaches, identify and apply lessons learned and ensure a detailed and comprehensive documentation that is easily accessible\n- Implement tools and methodologies to streamline and automate the vehicle platform requirement processes where applicable\n- Work with external partners on delivering a safe vehicle platform that has been verified and validated to support a strong safety case for the complete self-driving system\n \nQualifications:\n- Undergrad required; Masters or PhD within an engineering discipline preferred\n- 3+ years of automotive, robotics, aerospace or related industry experience\n- Experience with requirements-specifications and metrics\n- Experience with executing complex vehicle test campaigns\n- Experience with methods and standards such as ISO 26262, SOTIF (ISO 21448) and / or UL 4600\n- Strong fundamentals in mathematics, engineering and physics and basic understanding of vehicle dynamics\n- Excellent data analysis skills with modern tools such as Python or Matlab\n- Open-minded and collaborative leader who is eager to provide guidance and has the willingness to help others\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions\n- Experience with vehicle actuation (brakes, steering, propulsion)\n \nBonus/nice to have:\n- Experience in launching a driverless product\n- Experience in leading small teams of systems engineers\n- Experience in the automotive self driving industry\n- Experience building software systems from scratch\n- Experience in robotics or machine learning\n- Proficiency with data mining, mathematics, and statistical analysis\n \nThe US yearly salary range for this role is: $140,000 - $190,000 USD in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will…
\n- Own the creation, documentation, alignment and verification of vehicle platform requirements at Waabi and define ways for how to describe and evaluate them efficiently and effectively
\n- Bring an in-depth understanding of sensors, compute and actuators used in self-driving vehicles and drive an architecture with requirements that generate a simple yet very safe highly autonomous vehicle platform
\n- Act as a central point of contact at Waabi for specific vehicle platform requirements and related tests and communicate updates, progress and potential roadblocks to stakeholders at all levels
\n- Help drive Waabi’s safety culture through application of safety standards and methodologies in your area of responsibility across all supporting teams at Waabi including Systems Engineering, Hardware and Software
\n- Define necessary improvements for our highly realistic simulator to effectively verify most vehicle platform aspects under all required conditions and work with other teams at Waabi to get these improvements designed and implemented
\n- Own the writing and tracking of tests and test executions in line with company project milestones
\n- Continuously evaluate and enhance Waabi’s vehicle platform capabilities, look for novel approaches, identify and apply lessons learned and ensure a detailed and comprehensive documentation that is easily accessible
\n- Implement tools and methodologies to streamline and automate the vehicle platform requirement processes where applicable
\n- Work with external partners on delivering a safe vehicle platform that has been verified and validated to support a strong safety case for the complete self-driving system
\n
\nQualifications:
\n- Undergrad required; Masters or PhD within an engineering discipline preferred
\n- 3+ years of automotive, robotics, aerospace or related industry experience
\n- Experience with requirements-specifications and metrics
\n- Experience with executing complex vehicle test campaigns
\n- Experience with methods and standards such as ISO 26262, SOTIF (ISO 21448) and / or UL 4600
\n- Strong fundamentals in mathematics, engineering and physics and basic understanding of vehicle dynamics
\n- Excellent data analysis skills with modern tools such as Python or Matlab
\n- Open-minded and collaborative leader who is eager to provide guidance and has the willingness to help others
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
\n- Experience with vehicle actuation (brakes, steering, propulsion)
\n
\nBonus/nice to have:
\n- Experience in launching a driverless product
\n- Experience in leading small teams of systems engineers
\n- Experience in the automotive self driving industry
\n- Experience building software systems from scratch
\n- Experience in robotics or machine learning
\n- Proficiency with data mining, mathematics, and statistical analysis
\n
\nThe US yearly salary range for this role is: $140,000 - $190,000 USD in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
","id":"bfe20894-5899-41b5-8cf7-c9f1469d18b7","lists":[],"text":"Systems Engineer, Platform Requirements and Verification","country":"US","workplaceType":"remote","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will…
\n- Own the creation, documentation, alignment and verification of vehicle platform requirements at Waabi and define ways for how to describe and evaluate them efficiently and effectively
\n- Bring an in-depth understanding of sensors, compute and actuators used in self-driving vehicles and drive an architecture with requirements that generate a simple yet very safe highly autonomous vehicle platform
\n- Act as a central point of contact at Waabi for specific vehicle platform requirements and related tests and communicate updates, progress and potential roadblocks to stakeholders at all levels
\n- Help drive Waabi’s safety culture through application of safety standards and methodologies in your area of responsibility across all supporting teams at Waabi including Systems Engineering, Hardware and Software
\n- Define necessary improvements for our highly realistic simulator to effectively verify most vehicle platform aspects under all required conditions and work with other teams at Waabi to get these improvements designed and implemented
\n- Own the writing and tracking of tests and test executions in line with company project milestones
\n- Continuously evaluate and enhance Waabi’s vehicle platform capabilities, look for novel approaches, identify and apply lessons learned and ensure a detailed and comprehensive documentation that is easily accessible
\n- Implement tools and methodologies to streamline and automate the vehicle platform requirement processes where applicable
\n- Work with external partners on delivering a safe vehicle platform that has been verified and validated to support a strong safety case for the complete self-driving system
\n
\nQualifications:
\n- Undergrad required; Masters or PhD within an engineering discipline preferred
\n- 3+ years of automotive, robotics, aerospace or related industry experience
\n- Experience with requirements-specifications and metrics
\n- Experience with executing complex vehicle test campaigns
\n- Experience with methods and standards such as ISO 26262, SOTIF (ISO 21448) and / or UL 4600
\n- Strong fundamentals in mathematics, engineering and physics and basic understanding of vehicle dynamics
\n- Excellent data analysis skills with modern tools such as Python or Matlab
\n- Open-minded and collaborative leader who is eager to provide guidance and has the willingness to help others
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
\n- Experience with vehicle actuation (brakes, steering, propulsion)
\n
\nBonus/nice to have:
\n- Experience in launching a driverless product
\n- Experience in leading small teams of systems engineers
\n- Experience in the automotive self driving industry
\n- Experience building software systems from scratch
\n- Experience in robotics or machine learning
\n- Proficiency with data mining, mathematics, and statistical analysis
\n
\nThe US yearly salary range for this role is: $140,000 - $190,000 USD in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
","descriptionBodyPlain":"You will…\n- Own the creation, documentation, alignment and verification of vehicle platform requirements at Waabi and define ways for how to describe and evaluate them efficiently and effectively\n- Bring an in-depth understanding of sensors, compute and actuators used in self-driving vehicles and drive an architecture with requirements that generate a simple yet very safe highly autonomous vehicle platform\n- Act as a central point of contact at Waabi for specific vehicle platform requirements and related tests and communicate updates, progress and potential roadblocks to stakeholders at all levels\n- Help drive Waabi’s safety culture through application of safety standards and methodologies in your area of responsibility across all supporting teams at Waabi including Systems Engineering, Hardware and Software\n- Define necessary improvements for our highly realistic simulator to effectively verify most vehicle platform aspects under all required conditions and work with other teams at Waabi to get these improvements designed and implemented\n- Own the writing and tracking of tests and test executions in line with company project milestones\n- Continuously evaluate and enhance Waabi’s vehicle platform capabilities, look for novel approaches, identify and apply lessons learned and ensure a detailed and comprehensive documentation that is easily accessible\n- Implement tools and methodologies to streamline and automate the vehicle platform requirement processes where applicable\n- Work with external partners on delivering a safe vehicle platform that has been verified and validated to support a strong safety case for the complete self-driving system\n \nQualifications:\n- Undergrad required; Masters or PhD within an engineering discipline preferred\n- 3+ years of automotive, robotics, aerospace or related industry experience\n- Experience with requirements-specifications and metrics\n- Experience with executing complex vehicle test campaigns\n- Experience with methods and standards such as ISO 26262, SOTIF (ISO 21448) and / or UL 4600\n- Strong fundamentals in mathematics, engineering and physics and basic understanding of vehicle dynamics\n- Excellent data analysis skills with modern tools such as Python or Matlab\n- Open-minded and collaborative leader who is eager to provide guidance and has the willingness to help others\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions\n- Experience with vehicle actuation (brakes, steering, propulsion)\n \nBonus/nice to have:\n- Experience in launching a driverless product\n- Experience in leading small teams of systems engineers\n- Experience in the automotive self driving industry\n- Experience building software systems from scratch\n- Experience in robotics or machine learning\n- Proficiency with data mining, mathematics, and statistical analysis\n \nThe US yearly salary range for this role is: $140,000 - $190,000 USD in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n","hostedUrl":"https://jobs.lever.co/waabi/bfe20894-5899-41b5-8cf7-c9f1469d18b7","applyUrl":"https://jobs.lever.co/waabi/bfe20894-5899-41b5-8cf7-c9f1469d18b7/apply"},{"additionalPlain":"Perks/Benefits:\nWaabi provides a competitive benefits package that includes:\nCompetitive compensation and equity awards.\nHealth and wellness benefits encompassing Medical, Dental, and Vision coverage \nPaid parental, medical and family care leave.\nGenerous PTO Policy.\nRetirement savings plans including 401(k) or RRSP options.\nHealth savings account contribution options.\nDaily drinks, snacks, and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAdditional benefits are offered and tailored to specific country locations. \nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"Perks/Benefits:
\n\n
Waabi provides a competitive benefits package that includes:
\n
\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy.
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Operations","location":"Pittsburgh, PA","team":"Development Test","allLocations":["Pittsburgh, PA"]},"createdAt":1787241032612,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will…\nOperate Class 8 autonomous and manual vehicles on closed course and public roads, to the full Vehicle Operator standard.\nOwn in-seat execution of platform V&V and release testing including testing safety assurance limits, driver override response, supervised autonomy stability, and fault injection.\nProduce written evaluations precise enough for engineering to act on, separating baseline from novel behavior and stating whether it reproduces.\nExecute vehicle dynamics and characterization campaigns — tire evaluation, trailer stability, axle-weight verification — including offsite testing at partner proving grounds.\nServe as the qualified evaluator for operator certification: administer Knowledge and Proficiency\nChecks and clear operators onto a platform.\nAuthor and maintain platform-specific operator documentation — start-up and shutdown sequences, known-behavior references, SOP input.\nOwn the DOT and CVSA compliance read on new platforms.\nTrain operators on new platforms and move platform knowledge between sites ahead of any handover.\nEscalate safety-relevant findings and stop testing when equipment or vehicle behavior warrants it. Document the basis for that call.\n \nQualifications:\n8+ years as a Vehicle Operator, commercial test driver, or in a technically equivalent Class 8 operations role, including 4 years on autonomous or ADAS-equipped vehicles.\nCDL Class A, current Medical Examiner's Certificate, and a clean driving record, background check, and drug screen.\nStrong technical aptitude with autonomy platforms.\nDemonstrated ability to characterize vehicle behavior precisely: consistent versus intermittent, reproducible versus one-off, with conditions and magnitude rather than impressions.\nStrong written communication skills, translating in-cab observation into reports operations, engineering and safety can act on without follow-up.\nDemonstrated familiarity with closed-course and proving-ground protocols, including edge-case and failure-mode testing.\nSolid understanding of FMCSA and DOT requirements for test and development vehicles — DVIR, Hours of Service, DOT annual inspection, CVSA out-of-service criteria, and 49 CFR Parts 393 and 396.\nExperience training, coaching, or certifying other commercial drivers is highly desirable.\nCVSA Enhanced Pre-trip certification, Proving ground experience or licenses, a strong plus.\nComfort maintaining written documentation and willingness to learn the team's reporting tooling.\nPassion for self-driving technologies, solving hard problems, and building a culture of safety and operational excellence.\nAbility to work flexible shifts, including days, nights, and weekends.\nTravel to other operational sites and partner proving grounds will be required.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will…
\n\n- Operate Class 8 autonomous and manual vehicles on closed course and public roads, to the full Vehicle Operator standard.
\n- Own in-seat execution of platform V&V and release testing including testing safety assurance limits, driver override response, supervised autonomy stability, and fault injection.
\n- Produce written evaluations precise enough for engineering to act on, separating baseline from novel behavior and stating whether it reproduces.
\n- Execute vehicle dynamics and characterization campaigns — tire evaluation, trailer stability, axle-weight verification — including offsite testing at partner proving grounds.
\n- Serve as the qualified evaluator for operator certification: administer Knowledge and Proficiency
\n- Checks and clear operators onto a platform.
\n- Author and maintain platform-specific operator documentation — start-up and shutdown sequences, known-behavior references, SOP input.
\n- Own the DOT and CVSA compliance read on new platforms.
\n- Train operators on new platforms and move platform knowledge between sites ahead of any handover.
\n- Escalate safety-relevant findings and stop testing when equipment or vehicle behavior warrants it. Document the basis for that call.
\n
\n
\nQualifications:
\n\n- 8+ years as a Vehicle Operator, commercial test driver, or in a technically equivalent Class 8 operations role, including 4 years on autonomous or ADAS-equipped vehicles.
\n- CDL Class A, current Medical Examiner's Certificate, and a clean driving record, background check, and drug screen.
\n- Strong technical aptitude with autonomy platforms.
\n- Demonstrated ability to characterize vehicle behavior precisely: consistent versus intermittent, reproducible versus one-off, with conditions and magnitude rather than impressions.
\n- Strong written communication skills, translating in-cab observation into reports operations, engineering and safety can act on without follow-up.
\n- Demonstrated familiarity with closed-course and proving-ground protocols, including edge-case and failure-mode testing.
\n- Solid understanding of FMCSA and DOT requirements for test and development vehicles — DVIR, Hours of Service, DOT annual inspection, CVSA out-of-service criteria, and 49 CFR Parts 393 and 396.
\n- Experience training, coaching, or certifying other commercial drivers is highly desirable.
\n- CVSA Enhanced Pre-trip certification, Proving ground experience or licenses, a strong plus.
\n- Comfort maintaining written documentation and willingness to learn the team's reporting tooling.
\n- Passion for self-driving technologies, solving hard problems, and building a culture of safety and operational excellence.
\n- Ability to work flexible shifts, including days, nights, and weekends.
\n- Travel to other operational sites and partner proving grounds will be required.
\n
","id":"0a392ba0-7f39-4dcd-a44e-2c810548b1f2","lists":[],"text":"Test & Evaluation Operator","country":"US","workplaceType":"onsite","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will…
\n\n- Operate Class 8 autonomous and manual vehicles on closed course and public roads, to the full Vehicle Operator standard.
\n- Own in-seat execution of platform V&V and release testing including testing safety assurance limits, driver override response, supervised autonomy stability, and fault injection.
\n- Produce written evaluations precise enough for engineering to act on, separating baseline from novel behavior and stating whether it reproduces.
\n- Execute vehicle dynamics and characterization campaigns — tire evaluation, trailer stability, axle-weight verification — including offsite testing at partner proving grounds.
\n- Serve as the qualified evaluator for operator certification: administer Knowledge and Proficiency
\n- Checks and clear operators onto a platform.
\n- Author and maintain platform-specific operator documentation — start-up and shutdown sequences, known-behavior references, SOP input.
\n- Own the DOT and CVSA compliance read on new platforms.
\n- Train operators on new platforms and move platform knowledge between sites ahead of any handover.
\n- Escalate safety-relevant findings and stop testing when equipment or vehicle behavior warrants it. Document the basis for that call.
\n
\n
\nQualifications:
\n\n- 8+ years as a Vehicle Operator, commercial test driver, or in a technically equivalent Class 8 operations role, including 4 years on autonomous or ADAS-equipped vehicles.
\n- CDL Class A, current Medical Examiner's Certificate, and a clean driving record, background check, and drug screen.
\n- Strong technical aptitude with autonomy platforms.
\n- Demonstrated ability to characterize vehicle behavior precisely: consistent versus intermittent, reproducible versus one-off, with conditions and magnitude rather than impressions.
\n- Strong written communication skills, translating in-cab observation into reports operations, engineering and safety can act on without follow-up.
\n- Demonstrated familiarity with closed-course and proving-ground protocols, including edge-case and failure-mode testing.
\n- Solid understanding of FMCSA and DOT requirements for test and development vehicles — DVIR, Hours of Service, DOT annual inspection, CVSA out-of-service criteria, and 49 CFR Parts 393 and 396.
\n- Experience training, coaching, or certifying other commercial drivers is highly desirable.
\n- CVSA Enhanced Pre-trip certification, Proving ground experience or licenses, a strong plus.
\n- Comfort maintaining written documentation and willingness to learn the team's reporting tooling.
\n- Passion for self-driving technologies, solving hard problems, and building a culture of safety and operational excellence.
\n- Ability to work flexible shifts, including days, nights, and weekends.
\n- Travel to other operational sites and partner proving grounds will be required.
\n
","descriptionBodyPlain":"You will…\nOperate Class 8 autonomous and manual vehicles on closed course and public roads, to the full Vehicle Operator standard.\nOwn in-seat execution of platform V&V and release testing including testing safety assurance limits, driver override response, supervised autonomy stability, and fault injection.\nProduce written evaluations precise enough for engineering to act on, separating baseline from novel behavior and stating whether it reproduces.\nExecute vehicle dynamics and characterization campaigns — tire evaluation, trailer stability, axle-weight verification — including offsite testing at partner proving grounds.\nServe as the qualified evaluator for operator certification: administer Knowledge and Proficiency\nChecks and clear operators onto a platform.\nAuthor and maintain platform-specific operator documentation — start-up and shutdown sequences, known-behavior references, SOP input.\nOwn the DOT and CVSA compliance read on new platforms.\nTrain operators on new platforms and move platform knowledge between sites ahead of any handover.\nEscalate safety-relevant findings and stop testing when equipment or vehicle behavior warrants it. Document the basis for that call.\n \nQualifications:\n8+ years as a Vehicle Operator, commercial test driver, or in a technically equivalent Class 8 operations role, including 4 years on autonomous or ADAS-equipped vehicles.\nCDL Class A, current Medical Examiner's Certificate, and a clean driving record, background check, and drug screen.\nStrong technical aptitude with autonomy platforms.\nDemonstrated ability to characterize vehicle behavior precisely: consistent versus intermittent, reproducible versus one-off, with conditions and magnitude rather than impressions.\nStrong written communication skills, translating in-cab observation into reports operations, engineering and safety can act on without follow-up.\nDemonstrated familiarity with closed-course and proving-ground protocols, including edge-case and failure-mode testing.\nSolid understanding of FMCSA and DOT requirements for test and development vehicles — DVIR, Hours of Service, DOT annual inspection, CVSA out-of-service criteria, and 49 CFR Parts 393 and 396.\nExperience training, coaching, or certifying other commercial drivers is highly desirable.\nCVSA Enhanced Pre-trip certification, Proving ground experience or licenses, a strong plus.\nComfort maintaining written documentation and willingness to learn the team's reporting tooling.\nPassion for self-driving technologies, solving hard problems, and building a culture of safety and operational excellence.\nAbility to work flexible shifts, including days, nights, and weekends.\nTravel to other operational sites and partner proving grounds will be required.\n","hostedUrl":"https://jobs.lever.co/waabi/0a392ba0-7f39-4dcd-a44e-2c810548b1f2","applyUrl":"https://jobs.lever.co/waabi/0a392ba0-7f39-4dcd-a44e-2c810548b1f2/apply"},{"additionalPlain":"Perks/Benefits:\nWaabi provides a competitive benefits package that includes:\nCompetitive compensation and equity awards.\nHealth and wellness benefits encompassing Medical, Dental, and Vision coverage \nPaid parental, medical and family care leave.\nGenerous PTO Policy.\nRetirement savings plans including 401(k) or RRSP options.\nHealth savings account contribution options.\nDaily drinks, snacks, and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAdditional benefits are offered and tailored to specific country locations. \nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"Perks/Benefits:
\n\n
Waabi provides a competitive benefits package that includes:
\n
\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy.
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Operations","location":"Phoenix, AZ","team":"Development Test","allLocations":["Phoenix, AZ"]},"createdAt":1787686914177,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will…\nOperate Class 8 autonomous and manual vehicles on closed course and public roads, to the full Vehicle Operator standard.\nOwn in-seat execution of platform V&V and release testing including testing safety assurance limits, driver override response, supervised autonomy stability, and fault injection.\nProduce written evaluations precise enough for engineering to act on, separating baseline from novel behavior and stating whether it reproduces.\nExecute vehicle dynamics and characterization campaigns — tire evaluation, trailer stability, axle-weight verification — including offsite testing at partner proving grounds.\nServe as the qualified evaluator for operator certification: administer Knowledge and Proficiency\nChecks and clear operators onto a platform.\nAuthor and maintain platform-specific operator documentation — start-up and shutdown sequences, known-behavior references, SOP input.\nOwn the DOT and CVSA compliance read on new platforms.\nTrain operators on new platforms and move platform knowledge between sites ahead of any handover.\nEscalate safety-relevant findings and stop testing when equipment or vehicle behavior warrants it. Document the basis for that call.\n \nQualifications:\n8+ years as a Vehicle Operator, commercial test driver, or in a technically equivalent Class 8 operations role, including 4 years on autonomous or ADAS-equipped vehicles.\nCDL Class A, current Medical Examiner's Certificate, and a clean driving record, background check, and drug screen.\nStrong technical aptitude with autonomy platforms.\nDemonstrated ability to characterize vehicle behavior precisely: consistent versus intermittent, reproducible versus one-off, with conditions and magnitude rather than impressions.\nStrong written communication skills, translating in-cab observation into reports operations, engineering and safety can act on without follow-up.\nDemonstrated familiarity with closed-course and proving-ground protocols, including edge-case and failure-mode testing.\nSolid understanding of FMCSA and DOT requirements for test and development vehicles — DVIR, Hours of Service, DOT annual inspection, CVSA out-of-service criteria, and 49 CFR Parts 393 and 396.\nExperience training, coaching, or certifying other commercial drivers is highly desirable.\nCVSA Enhanced Pre-trip certification, Proving ground experience or licenses, a strong plus.\nComfort maintaining written documentation and willingness to learn the team's reporting tooling.\nPassion for self-driving technologies, solving hard problems, and building a culture of safety and operational excellence.\nAbility to work flexible shifts, including days, nights, and weekends.\nTravel to other operational sites and partner proving grounds will be required.\nDay Shift Schedule and Flexibility:\nBase shift: 7:30 AM – 4:30 PM MT. Day shift crews are expected to be flexible.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will…
\n\n- Operate Class 8 autonomous and manual vehicles on closed course and public roads, to the full Vehicle Operator standard.
\n- Own in-seat execution of platform V&V and release testing including testing safety assurance limits, driver override response, supervised autonomy stability, and fault injection.
\n- Produce written evaluations precise enough for engineering to act on, separating baseline from novel behavior and stating whether it reproduces.
\n- Execute vehicle dynamics and characterization campaigns — tire evaluation, trailer stability, axle-weight verification — including offsite testing at partner proving grounds.
\n- Serve as the qualified evaluator for operator certification: administer Knowledge and Proficiency
\n- Checks and clear operators onto a platform.
\n- Author and maintain platform-specific operator documentation — start-up and shutdown sequences, known-behavior references, SOP input.
\n- Own the DOT and CVSA compliance read on new platforms.
\n- Train operators on new platforms and move platform knowledge between sites ahead of any handover.
\n- Escalate safety-relevant findings and stop testing when equipment or vehicle behavior warrants it. Document the basis for that call.
\n
\n
\nQualifications:
\n\n- 8+ years as a Vehicle Operator, commercial test driver, or in a technically equivalent Class 8 operations role, including 4 years on autonomous or ADAS-equipped vehicles.
\n- CDL Class A, current Medical Examiner's Certificate, and a clean driving record, background check, and drug screen.
\n- Strong technical aptitude with autonomy platforms.
\n- Demonstrated ability to characterize vehicle behavior precisely: consistent versus intermittent, reproducible versus one-off, with conditions and magnitude rather than impressions.
\n- Strong written communication skills, translating in-cab observation into reports operations, engineering and safety can act on without follow-up.
\n- Demonstrated familiarity with closed-course and proving-ground protocols, including edge-case and failure-mode testing.
\n- Solid understanding of FMCSA and DOT requirements for test and development vehicles — DVIR, Hours of Service, DOT annual inspection, CVSA out-of-service criteria, and 49 CFR Parts 393 and 396.
\n- Experience training, coaching, or certifying other commercial drivers is highly desirable.
\n- CVSA Enhanced Pre-trip certification, Proving ground experience or licenses, a strong plus.
\n- Comfort maintaining written documentation and willingness to learn the team's reporting tooling.
\n- Passion for self-driving technologies, solving hard problems, and building a culture of safety and operational excellence.
\n- Ability to work flexible shifts, including days, nights, and weekends.
\n- Travel to other operational sites and partner proving grounds will be required.
\n
\nDay Shift Schedule and Flexibility:
Base shift: 7:30 AM – 4:30 PM MT. Day shift crews are expected to be flexible.
","id":"357a9513-5900-4b33-9ce8-77ff2d1017c8","lists":[],"text":"Test & Evaluation Operator","country":"US","workplaceType":"onsite","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will…
\n\n- Operate Class 8 autonomous and manual vehicles on closed course and public roads, to the full Vehicle Operator standard.
\n- Own in-seat execution of platform V&V and release testing including testing safety assurance limits, driver override response, supervised autonomy stability, and fault injection.
\n- Produce written evaluations precise enough for engineering to act on, separating baseline from novel behavior and stating whether it reproduces.
\n- Execute vehicle dynamics and characterization campaigns — tire evaluation, trailer stability, axle-weight verification — including offsite testing at partner proving grounds.
\n- Serve as the qualified evaluator for operator certification: administer Knowledge and Proficiency
\n- Checks and clear operators onto a platform.
\n- Author and maintain platform-specific operator documentation — start-up and shutdown sequences, known-behavior references, SOP input.
\n- Own the DOT and CVSA compliance read on new platforms.
\n- Train operators on new platforms and move platform knowledge between sites ahead of any handover.
\n- Escalate safety-relevant findings and stop testing when equipment or vehicle behavior warrants it. Document the basis for that call.
\n
\n
\nQualifications:
\n\n- 8+ years as a Vehicle Operator, commercial test driver, or in a technically equivalent Class 8 operations role, including 4 years on autonomous or ADAS-equipped vehicles.
\n- CDL Class A, current Medical Examiner's Certificate, and a clean driving record, background check, and drug screen.
\n- Strong technical aptitude with autonomy platforms.
\n- Demonstrated ability to characterize vehicle behavior precisely: consistent versus intermittent, reproducible versus one-off, with conditions and magnitude rather than impressions.
\n- Strong written communication skills, translating in-cab observation into reports operations, engineering and safety can act on without follow-up.
\n- Demonstrated familiarity with closed-course and proving-ground protocols, including edge-case and failure-mode testing.
\n- Solid understanding of FMCSA and DOT requirements for test and development vehicles — DVIR, Hours of Service, DOT annual inspection, CVSA out-of-service criteria, and 49 CFR Parts 393 and 396.
\n- Experience training, coaching, or certifying other commercial drivers is highly desirable.
\n- CVSA Enhanced Pre-trip certification, Proving ground experience or licenses, a strong plus.
\n- Comfort maintaining written documentation and willingness to learn the team's reporting tooling.
\n- Passion for self-driving technologies, solving hard problems, and building a culture of safety and operational excellence.
\n- Ability to work flexible shifts, including days, nights, and weekends.
\n- Travel to other operational sites and partner proving grounds will be required.
\n
\nDay Shift Schedule and Flexibility:
Base shift: 7:30 AM – 4:30 PM MT. Day shift crews are expected to be flexible.
","descriptionBodyPlain":"You will…\nOperate Class 8 autonomous and manual vehicles on closed course and public roads, to the full Vehicle Operator standard.\nOwn in-seat execution of platform V&V and release testing including testing safety assurance limits, driver override response, supervised autonomy stability, and fault injection.\nProduce written evaluations precise enough for engineering to act on, separating baseline from novel behavior and stating whether it reproduces.\nExecute vehicle dynamics and characterization campaigns — tire evaluation, trailer stability, axle-weight verification — including offsite testing at partner proving grounds.\nServe as the qualified evaluator for operator certification: administer Knowledge and Proficiency\nChecks and clear operators onto a platform.\nAuthor and maintain platform-specific operator documentation — start-up and shutdown sequences, known-behavior references, SOP input.\nOwn the DOT and CVSA compliance read on new platforms.\nTrain operators on new platforms and move platform knowledge between sites ahead of any handover.\nEscalate safety-relevant findings and stop testing when equipment or vehicle behavior warrants it. Document the basis for that call.\n \nQualifications:\n8+ years as a Vehicle Operator, commercial test driver, or in a technically equivalent Class 8 operations role, including 4 years on autonomous or ADAS-equipped vehicles.\nCDL Class A, current Medical Examiner's Certificate, and a clean driving record, background check, and drug screen.\nStrong technical aptitude with autonomy platforms.\nDemonstrated ability to characterize vehicle behavior precisely: consistent versus intermittent, reproducible versus one-off, with conditions and magnitude rather than impressions.\nStrong written communication skills, translating in-cab observation into reports operations, engineering and safety can act on without follow-up.\nDemonstrated familiarity with closed-course and proving-ground protocols, including edge-case and failure-mode testing.\nSolid understanding of FMCSA and DOT requirements for test and development vehicles — DVIR, Hours of Service, DOT annual inspection, CVSA out-of-service criteria, and 49 CFR Parts 393 and 396.\nExperience training, coaching, or certifying other commercial drivers is highly desirable.\nCVSA Enhanced Pre-trip certification, Proving ground experience or licenses, a strong plus.\nComfort maintaining written documentation and willingness to learn the team's reporting tooling.\nPassion for self-driving technologies, solving hard problems, and building a culture of safety and operational excellence.\nAbility to work flexible shifts, including days, nights, and weekends.\nTravel to other operational sites and partner proving grounds will be required.\nDay Shift Schedule and Flexibility:\nBase shift: 7:30 AM – 4:30 PM MT. Day shift crews are expected to be flexible.\n","hostedUrl":"https://jobs.lever.co/waabi/357a9513-5900-4b33-9ce8-77ff2d1017c8","applyUrl":"https://jobs.lever.co/waabi/357a9513-5900-4b33-9ce8-77ff2d1017c8/apply"},{"additionalPlain":"Perks/Benefits:\nWaabi provides a competitive benefits package that includes:\nCompetitive compensation and equity awards.\nHealth and wellness benefits encompassing Medical, Dental, and Vision coverage \nPaid parental, medical and family care leave.\nGenerous PTO Policy.\nRetirement savings plans including 401(k) or RRSP options.\nHealth savings account contribution options.\nDaily drinks, snacks, and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAdditional benefits are offered and tailored to specific country locations. \nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"Perks/Benefits:
\n\n
Waabi provides a competitive benefits package that includes:
\n
\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy.
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Operations","location":"Pittsburgh, PA","team":"Development Test","allLocations":["Pittsburgh, PA"]},"createdAt":1787235608118,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nJob Summary:\n \nWe are looking for a Test Engineer to join our team. In this role, you will develop and execute test plans on closed course test tracks, and on road. You will be responsible for coordinating with engineers, prepping test vehicles, organizing test plans and schedules, executing and evaluating test vehicle performance, operating actor vehicles during testing, and providing support to the test operations team.\n \n \nYou will...\nWork with Waabi engineers to prepare test plans and vehicle systems for test evolutions\nCoordinate and execute closed course and on road test plans. \nGenerate detailed test reports, documenting vehicle performance\nCurate test schedules and coordinate testing resources\nCollaborate with the operations team to maintain effective and timely communication between drivers, engineers, and additional company stakeholders.\nSupport the operations team with vehicle system inspections, maintenance, and record-keeping.\nMaintain a safe and organized work environment at the facility.\n \nQualifications:\nBachelor’s degree in Mechanical Engineering, Electrical Engineering, Robotics, Computer Science, or a related technical field or equivalent practical experience.\n6 years experience in a test engineering or related autonomous vehicle development role.\nExperience with Linux command line and data logging tools.\nPython or MATLAB experience for data parsing/analysis.\nExperience leading test campaigns at major proving grounds\nStrong communication skills and attention to detail.\nStrong working knowledge of vehicle dynamics\nDetailed knowledge of autonomous vehicle hardware and software\nProficient with systems engineering workflows and requirement V&V\nAbility to work in a fast-paced, constantly changing environment.\nAvailability to work flexible hours, including weekends and holidays.\nAbility to travel. \nOpen-minded and collaborative team player with the willingness to help others.\nPassionate about being part of an organization solving self-driving technologies.\nProving ground experience or certifications is a plus\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
Job Summary:
\n
\n
We are looking for a Test Engineer to join our team. In this role, you will develop and execute test plans on closed course test tracks, and on road. You will be responsible for coordinating with engineers, prepping test vehicles, organizing test plans and schedules, executing and evaluating test vehicle performance, operating actor vehicles during testing, and providing support to the test operations team.
\n
\n
\n
You will...
\n
\n- Work with Waabi engineers to prepare test plans and vehicle systems for test evolutions
\n- Coordinate and execute closed course and on road test plans.
\n- Generate detailed test reports, documenting vehicle performance
\n- Curate test schedules and coordinate testing resources
\n- Collaborate with the operations team to maintain effective and timely communication between drivers, engineers, and additional company stakeholders.
\n- Support the operations team with vehicle system inspections, maintenance, and record-keeping.
\n- Maintain a safe and organized work environment at the facility.
\n
\n
\n
Qualifications:
\n
\n- Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Robotics, Computer Science, or a related technical field or equivalent practical experience.
\n- 6 years experience in a test engineering or related autonomous vehicle development role.
\n- Experience with Linux command line and data logging tools.
\n- Python or MATLAB experience for data parsing/analysis.
\n- Experience leading test campaigns at major proving grounds
\n- Strong communication skills and attention to detail.
\n- Strong working knowledge of vehicle dynamics
\n- Detailed knowledge of autonomous vehicle hardware and software
\n- Proficient with systems engineering workflows and requirement V&V
\n- Ability to work in a fast-paced, constantly changing environment.
\n- Availability to work flexible hours, including weekends and holidays.
\n- Ability to travel.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Passionate about being part of an organization solving self-driving technologies.
\n- Proving ground experience or certifications is a plus
\n
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
Job Summary:
\n
\n
We are looking for a Test Engineer to join our team. In this role, you will develop and execute test plans on closed course test tracks, and on road. You will be responsible for coordinating with engineers, prepping test vehicles, organizing test plans and schedules, executing and evaluating test vehicle performance, operating actor vehicles during testing, and providing support to the test operations team.
\n
\n
\n
You will...
\n
\n- Work with Waabi engineers to prepare test plans and vehicle systems for test evolutions
\n- Coordinate and execute closed course and on road test plans.
\n- Generate detailed test reports, documenting vehicle performance
\n- Curate test schedules and coordinate testing resources
\n- Collaborate with the operations team to maintain effective and timely communication between drivers, engineers, and additional company stakeholders.
\n- Support the operations team with vehicle system inspections, maintenance, and record-keeping.
\n- Maintain a safe and organized work environment at the facility.
\n
\n
\n
Qualifications:
\n
\n- Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Robotics, Computer Science, or a related technical field or equivalent practical experience.
\n- 6 years experience in a test engineering or related autonomous vehicle development role.
\n- Experience with Linux command line and data logging tools.
\n- Python or MATLAB experience for data parsing/analysis.
\n- Experience leading test campaigns at major proving grounds
\n- Strong communication skills and attention to detail.
\n- Strong working knowledge of vehicle dynamics
\n- Detailed knowledge of autonomous vehicle hardware and software
\n- Proficient with systems engineering workflows and requirement V&V
\n- Ability to work in a fast-paced, constantly changing environment.
\n- Availability to work flexible hours, including weekends and holidays.
\n- Ability to travel.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Passionate about being part of an organization solving self-driving technologies.
\n- Proving ground experience or certifications is a plus
\n
\n
The US yearly salary range for this role is: $90,000 - $137,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.
Perks/Benefits:
\n\n
Waabi provides a competitive benefits package that includes:
\n
\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy.
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Operations","location":"Phoenix, AZ","team":"Development Test","allLocations":["Phoenix, AZ"]},"createdAt":1787171570997,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nJob Summary:\n \nWe are looking for a Test Engineer to join our team. In this role, you will develop and execute test plans on closed course test tracks, and on road. You will be responsible for coordinating with engineers, prepping test vehicles, organizing test plans and schedules, executing and evaluating test vehicle performance, operating actor vehicles during testing, and providing support to the test operations team.\n \nYou will...\nWork with Waabi engineers to prepare test plans and vehicle systems for test evolutions.\nCoordinate and execute closed course and on road test plans. \nGenerate detailed test reports, documenting vehicle performance.\nCurate test schedules and coordinate testing resources.\nCollaborate with the operations team to maintain effective and timely communication between drivers, engineers, and additional company stakeholders.\nSupport the operations team with vehicle system inspections, maintenance, and record-keeping.\nMaintain a safe and organized work environment at the facility.\n \nQualifications:\nBachelor’s degree in Mechanical Engineering, Electrical Engineering, Robotics, Computer Science, or a related technical field or equivalent practical experience.\n3 years experience in a test engineering or related autonomous vehicle development role.\nExperience with Linux command line and data logging tools.\nPython or MATLAB experience for data parsing/analysis.\nExperience leading test campaigns at major proving grounds.\nStrong communication skills and attention to detail.\nStrong working knowledge of vehicle dynamics.\nDetailed knowledge of autonomous vehicle hardware and software.\nProficient with systems engineering workflows and requirement V&V.\nAbility to work in a fast-paced, constantly changing environment.\nAvailability to work flexible hours, including weekends and holidays.\nAbility to travel. \nOpen-minded and collaborative team player with the willingness to help others.\nPassionate about being part of an organization solving self-driving technologies.\nProving ground experience or Certifications is a plus.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
Job Summary:
\n
\n
We are looking for a Test Engineer to join our team. In this role, you will develop and execute test plans on closed course test tracks, and on road. You will be responsible for coordinating with engineers, prepping test vehicles, organizing test plans and schedules, executing and evaluating test vehicle performance, operating actor vehicles during testing, and providing support to the test operations team.
\n
\n
You will...
\n\n- Work with Waabi engineers to prepare test plans and vehicle systems for test evolutions.
\n- Coordinate and execute closed course and on road test plans.
\n- Generate detailed test reports, documenting vehicle performance.
\n- Curate test schedules and coordinate testing resources.
\n- Collaborate with the operations team to maintain effective and timely communication between drivers, engineers, and additional company stakeholders.
\n- Support the operations team with vehicle system inspections, maintenance, and record-keeping.
\n- Maintain a safe and organized work environment at the facility.
\n
\n
\nQualifications:
\n\n- Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Robotics, Computer Science, or a related technical field or equivalent practical experience.
\n- 3 years experience in a test engineering or related autonomous vehicle development role.
\n- Experience with Linux command line and data logging tools.
\n- Python or MATLAB experience for data parsing/analysis.
\n- Experience leading test campaigns at major proving grounds.
\n- Strong communication skills and attention to detail.
\n- Strong working knowledge of vehicle dynamics.
\n- Detailed knowledge of autonomous vehicle hardware and software.
\n- Proficient with systems engineering workflows and requirement V&V.
\n- Ability to work in a fast-paced, constantly changing environment.
\n- Availability to work flexible hours, including weekends and holidays.
\n- Ability to travel.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Passionate about being part of an organization solving self-driving technologies.
\n- Proving ground experience or Certifications is a plus.
\n
","id":"8b2b6f2b-d3f4-4a83-a22c-968445d8f4bb","lists":[],"text":"Test Engineer","country":"US","workplaceType":"onsite","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
Job Summary:
\n
\n
We are looking for a Test Engineer to join our team. In this role, you will develop and execute test plans on closed course test tracks, and on road. You will be responsible for coordinating with engineers, prepping test vehicles, organizing test plans and schedules, executing and evaluating test vehicle performance, operating actor vehicles during testing, and providing support to the test operations team.
\n
\n
You will...
\n\n- Work with Waabi engineers to prepare test plans and vehicle systems for test evolutions.
\n- Coordinate and execute closed course and on road test plans.
\n- Generate detailed test reports, documenting vehicle performance.
\n- Curate test schedules and coordinate testing resources.
\n- Collaborate with the operations team to maintain effective and timely communication between drivers, engineers, and additional company stakeholders.
\n- Support the operations team with vehicle system inspections, maintenance, and record-keeping.
\n- Maintain a safe and organized work environment at the facility.
\n
\n
\nQualifications:
\n\n- Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Robotics, Computer Science, or a related technical field or equivalent practical experience.
\n- 3 years experience in a test engineering or related autonomous vehicle development role.
\n- Experience with Linux command line and data logging tools.
\n- Python or MATLAB experience for data parsing/analysis.
\n- Experience leading test campaigns at major proving grounds.
\n- Strong communication skills and attention to detail.
\n- Strong working knowledge of vehicle dynamics.
\n- Detailed knowledge of autonomous vehicle hardware and software.
\n- Proficient with systems engineering workflows and requirement V&V.
\n- Ability to work in a fast-paced, constantly changing environment.
\n- Availability to work flexible hours, including weekends and holidays.
\n- Ability to travel.
\n- Open-minded and collaborative team player with the willingness to help others.
\n- Passionate about being part of an organization solving self-driving technologies.
\n- Proving ground experience or Certifications is a plus.
\n
","descriptionBodyPlain":"Job Summary:\n \nWe are looking for a Test Engineer to join our team. In this role, you will develop and execute test plans on closed course test tracks, and on road. You will be responsible for coordinating with engineers, prepping test vehicles, organizing test plans and schedules, executing and evaluating test vehicle performance, operating actor vehicles during testing, and providing support to the test operations team.\n \nYou will...\nWork with Waabi engineers to prepare test plans and vehicle systems for test evolutions.\nCoordinate and execute closed course and on road test plans. \nGenerate detailed test reports, documenting vehicle performance.\nCurate test schedules and coordinate testing resources.\nCollaborate with the operations team to maintain effective and timely communication between drivers, engineers, and additional company stakeholders.\nSupport the operations team with vehicle system inspections, maintenance, and record-keeping.\nMaintain a safe and organized work environment at the facility.\n \nQualifications:\nBachelor’s degree in Mechanical Engineering, Electrical Engineering, Robotics, Computer Science, or a related technical field or equivalent practical experience.\n3 years experience in a test engineering or related autonomous vehicle development role.\nExperience with Linux command line and data logging tools.\nPython or MATLAB experience for data parsing/analysis.\nExperience leading test campaigns at major proving grounds.\nStrong communication skills and attention to detail.\nStrong working knowledge of vehicle dynamics.\nDetailed knowledge of autonomous vehicle hardware and software.\nProficient with systems engineering workflows and requirement V&V.\nAbility to work in a fast-paced, constantly changing environment.\nAvailability to work flexible hours, including weekends and holidays.\nAbility to travel. \nOpen-minded and collaborative team player with the willingness to help others.\nPassionate about being part of an organization solving self-driving technologies.\nProving ground experience or Certifications is a plus.\n","hostedUrl":"https://jobs.lever.co/waabi/8b2b6f2b-d3f4-4a83-a22c-968445d8f4bb","applyUrl":"https://jobs.lever.co/waabi/8b2b6f2b-d3f4-4a83-a22c-968445d8f4bb/apply"},{"additionalPlain":"Perks/Benefits:\nWaabi provides a competitive benefits package that includes:\nCompetitive compensation and equity awards.\nHealth and wellness benefits encompassing Medical, Dental, and Vision coverage \nPaid parental, medical and family care leave.\nGenerous PTO Policy.\nRetirement savings plans including 401(k) or RRSP options.\nHealth savings account contribution options.\nDaily drinks, snacks, and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAdditional benefits are offered and tailored to specific country locations. \nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"Perks/Benefits:
\n\n
Waabi provides a competitive benefits package that includes:
\n
\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy.
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Operations","location":"Dallas, TX","team":"Road Operations","allLocations":["Dallas, TX"]},"createdAt":1787242465936,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nAs a member of Waabi’s Training and Compliance Team, you’ll be the primary hands-on trainer and subject matter expert responsible for developing our Fleet Specialist (FS) workforce—the team that keeps our autonomous trucks running safely and efficiently in the field. You will partner closely with the Training Manager to design, build, and continually iterate learning programs.\n \nDrawing on your own experience as a Fleet Specialist, you will deliver the technical curriculum that builds FS proficiency in vehicle systems, hardware and software interfaces, troubleshooting procedures, Platform Shakeout Tests, and Mixed Reality Training scenarios. With cutting-edge autonomous technology and an uncompromising commitment to safety, we’re shaping the future of autonomous trucking, and we need technically sharp, experienced professionals like you to ensure every Fleet Specialist is fully certified and operationally ready before they ever support a live deployment.\n \n \nYou will…\nPartner with the Training Manager to design, develop, and update technical learning materials, SOPs, job aids, interactive modules, and assessment using established instructional design methodologies (e.g., ADDIE, SAM).\nDirectly conduct new-hire onboarding for Fleet Specialists, executing the full training curriculum from classroom instruction through field certification.\nDeliver structured instruction across all VO and FS phases.\nParticipate in VO and FS training ridealongs as a Fleet Specialist resource, providing trainees with real-time context on vehicle systems, operational support responsibilities, and FS-VO coordination in the field.\nGuide FS trainees to meet all defined proficiency thresholds.\nServe as the primary technical instructor for autonomous vehicle systems, onboard hardware, software interfaces, diagnostic tools, and fleet support procedures used by Fleet Specialists.\nDeliver and assess Platform Shakeout Test (PST) training and Mixed Reality Training (MRT) modules, ensuring all FSs can execute these procedures accurately, independently, and safely.\nExecute the continuous learning framework by delivering refresher training and recertification following new SOPs, truck upfits, software updates, and feature releases.\nAct as a key liaison between the Training Manager and Dispatch (FS Supervisors) to ensure engineering-driven changes are translated into clear, executable field instruction.\nUtilize the Daily Training Tracker and Jira update processes to formally log and monitor FS trainee progress and ongoing development activities.\nMentor high-performing Fleet Specialists through the Senior FS Trainer (Train-the-Trainer) program and support delivery of the Demo Readiness Certification.\nSupport the Training Manager in overseeing training schedules, tracking completion metrics, managing LMS records, and driving continuous improvement across all FS learning programs. \n \nQualifications:\nMinimum of 3+ years of direct experience as a Fleet Specialist or in a technically equivalent field operations role supporting autonomous or Class 8 vehicles.\nStrong technical aptitude with hands-on experience diagnosing, troubleshooting, and operating autonomous vehicle systems, onboard hardware, and software interfaces.\nDemonstrated familiarity with fleet support procedures including Platform Shakeout Tests, Mixed Reality Training scenarios, and pre/post-trip inspection protocols.\nDemonstrated ability to deliver structured, safety-critical training and conduct performance assessments in a hands-on field environment.\nStrong interpersonal and communication skills with the ability to translate complex technical concepts into clear, actionable instruction for trainees at all experience levels.\nStrong organizational skills and meticulous attention to detail, including consistent and accurate record-keeping in LMS or tracking systems.\nPassion for self-driving technologies, solving hard problems, and building a culture of safety and operational excellence.\nOccasional travel to other operational sites may be required.\n \nBonus:\nExperience with Learning Management Systems (LMS) and training record administration.\nPrior experience delivering formal training, coaching, or mentorship to peers or new hires in a technical field operations environment.\nExperience as a certified trainer or assessor, including participation in a Train-the-Trainer or similar instructor certification program.\nFamiliarity with Jira, dispatch systems, or fleet management software used in autonomous trucking operations.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
As a member of Waabi’s Training and Compliance Team, you’ll be the primary hands-on trainer and subject matter expert responsible for developing our Fleet Specialist (FS) workforce—the team that keeps our autonomous trucks running safely and efficiently in the field. You will partner closely with the Training Manager to design, build, and continually iterate learning programs.
\n
\nDrawing on your own experience as a Fleet Specialist, you will deliver the technical curriculum that builds FS proficiency in vehicle systems, hardware and software interfaces, troubleshooting procedures, Platform Shakeout Tests, and Mixed Reality Training scenarios. With cutting-edge autonomous technology and an uncompromising commitment to safety, we’re shaping the future of autonomous trucking, and we need technically sharp, experienced professionals like you to ensure every Fleet Specialist is fully certified and operationally ready before they ever support a live deployment.
\n
\n
\nYou will…
\n\n- Partner with the Training Manager to design, develop, and update technical learning materials, SOPs, job aids, interactive modules, and assessment using established instructional design methodologies (e.g., ADDIE, SAM).
\n- Directly conduct new-hire onboarding for Fleet Specialists, executing the full training curriculum from classroom instruction through field certification.
\n- Deliver structured instruction across all VO and FS phases.
\n- Participate in VO and FS training ridealongs as a Fleet Specialist resource, providing trainees with real-time context on vehicle systems, operational support responsibilities, and FS-VO coordination in the field.
\n- Guide FS trainees to meet all defined proficiency thresholds.
\n- Serve as the primary technical instructor for autonomous vehicle systems, onboard hardware, software interfaces, diagnostic tools, and fleet support procedures used by Fleet Specialists.
\n- Deliver and assess Platform Shakeout Test (PST) training and Mixed Reality Training (MRT) modules, ensuring all FSs can execute these procedures accurately, independently, and safely.
\n- Execute the continuous learning framework by delivering refresher training and recertification following new SOPs, truck upfits, software updates, and feature releases.
\n- Act as a key liaison between the Training Manager and Dispatch (FS Supervisors) to ensure engineering-driven changes are translated into clear, executable field instruction.
\n- Utilize the Daily Training Tracker and Jira update processes to formally log and monitor FS trainee progress and ongoing development activities.
\n- Mentor high-performing Fleet Specialists through the Senior FS Trainer (Train-the-Trainer) program and support delivery of the Demo Readiness Certification.
\n- Support the Training Manager in overseeing training schedules, tracking completion metrics, managing LMS records, and driving continuous improvement across all FS learning programs.
\n
\n
\nQualifications:
\n\n- Minimum of 3+ years of direct experience as a Fleet Specialist or in a technically equivalent field operations role supporting autonomous or Class 8 vehicles.
\n- Strong technical aptitude with hands-on experience diagnosing, troubleshooting, and operating autonomous vehicle systems, onboard hardware, and software interfaces.
\n- Demonstrated familiarity with fleet support procedures including Platform Shakeout Tests, Mixed Reality Training scenarios, and pre/post-trip inspection protocols.
\n- Demonstrated ability to deliver structured, safety-critical training and conduct performance assessments in a hands-on field environment.
\n- Strong interpersonal and communication skills with the ability to translate complex technical concepts into clear, actionable instruction for trainees at all experience levels.
\n- Strong organizational skills and meticulous attention to detail, including consistent and accurate record-keeping in LMS or tracking systems.
\n- Passion for self-driving technologies, solving hard problems, and building a culture of safety and operational excellence.
\n- Occasional travel to other operational sites may be required.
\n
\n
\nBonus:
\n\n- Experience with Learning Management Systems (LMS) and training record administration.
\n- Prior experience delivering formal training, coaching, or mentorship to peers or new hires in a technical field operations environment.
\n- Experience as a certified trainer or assessor, including participation in a Train-the-Trainer or similar instructor certification program.
\n- Familiarity with Jira, dispatch systems, or fleet management software used in autonomous trucking operations.
\n
","id":"24b63bfd-8ec5-4620-a6fe-6552966bb1a1","lists":[],"text":"Training Specialist - Fleet Specialist","country":"US","workplaceType":"onsite","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"As a member of Waabi’s Training and Compliance Team, you’ll be the primary hands-on trainer and subject matter expert responsible for developing our Fleet Specialist (FS) workforce—the team that keeps our autonomous trucks running safely and efficiently in the field. You will partner closely with the Training Manager to design, build, and continually iterate learning programs.
\n
\nDrawing on your own experience as a Fleet Specialist, you will deliver the technical curriculum that builds FS proficiency in vehicle systems, hardware and software interfaces, troubleshooting procedures, Platform Shakeout Tests, and Mixed Reality Training scenarios. With cutting-edge autonomous technology and an uncompromising commitment to safety, we’re shaping the future of autonomous trucking, and we need technically sharp, experienced professionals like you to ensure every Fleet Specialist is fully certified and operationally ready before they ever support a live deployment.
\n
\n
\nYou will…
\n\n- Partner with the Training Manager to design, develop, and update technical learning materials, SOPs, job aids, interactive modules, and assessment using established instructional design methodologies (e.g., ADDIE, SAM).
\n- Directly conduct new-hire onboarding for Fleet Specialists, executing the full training curriculum from classroom instruction through field certification.
\n- Deliver structured instruction across all VO and FS phases.
\n- Participate in VO and FS training ridealongs as a Fleet Specialist resource, providing trainees with real-time context on vehicle systems, operational support responsibilities, and FS-VO coordination in the field.
\n- Guide FS trainees to meet all defined proficiency thresholds.
\n- Serve as the primary technical instructor for autonomous vehicle systems, onboard hardware, software interfaces, diagnostic tools, and fleet support procedures used by Fleet Specialists.
\n- Deliver and assess Platform Shakeout Test (PST) training and Mixed Reality Training (MRT) modules, ensuring all FSs can execute these procedures accurately, independently, and safely.
\n- Execute the continuous learning framework by delivering refresher training and recertification following new SOPs, truck upfits, software updates, and feature releases.
\n- Act as a key liaison between the Training Manager and Dispatch (FS Supervisors) to ensure engineering-driven changes are translated into clear, executable field instruction.
\n- Utilize the Daily Training Tracker and Jira update processes to formally log and monitor FS trainee progress and ongoing development activities.
\n- Mentor high-performing Fleet Specialists through the Senior FS Trainer (Train-the-Trainer) program and support delivery of the Demo Readiness Certification.
\n- Support the Training Manager in overseeing training schedules, tracking completion metrics, managing LMS records, and driving continuous improvement across all FS learning programs.
\n
\n
\nQualifications:
\n\n- Minimum of 3+ years of direct experience as a Fleet Specialist or in a technically equivalent field operations role supporting autonomous or Class 8 vehicles.
\n- Strong technical aptitude with hands-on experience diagnosing, troubleshooting, and operating autonomous vehicle systems, onboard hardware, and software interfaces.
\n- Demonstrated familiarity with fleet support procedures including Platform Shakeout Tests, Mixed Reality Training scenarios, and pre/post-trip inspection protocols.
\n- Demonstrated ability to deliver structured, safety-critical training and conduct performance assessments in a hands-on field environment.
\n- Strong interpersonal and communication skills with the ability to translate complex technical concepts into clear, actionable instruction for trainees at all experience levels.
\n- Strong organizational skills and meticulous attention to detail, including consistent and accurate record-keeping in LMS or tracking systems.
\n- Passion for self-driving technologies, solving hard problems, and building a culture of safety and operational excellence.
\n- Occasional travel to other operational sites may be required.
\n
\n
\nBonus:
\n\n- Experience with Learning Management Systems (LMS) and training record administration.
\n- Prior experience delivering formal training, coaching, or mentorship to peers or new hires in a technical field operations environment.
\n- Experience as a certified trainer or assessor, including participation in a Train-the-Trainer or similar instructor certification program.
\n- Familiarity with Jira, dispatch systems, or fleet management software used in autonomous trucking operations.
\n
","descriptionBodyPlain":"As a member of Waabi’s Training and Compliance Team, you’ll be the primary hands-on trainer and subject matter expert responsible for developing our Fleet Specialist (FS) workforce—the team that keeps our autonomous trucks running safely and efficiently in the field. You will partner closely with the Training Manager to design, build, and continually iterate learning programs.\n \nDrawing on your own experience as a Fleet Specialist, you will deliver the technical curriculum that builds FS proficiency in vehicle systems, hardware and software interfaces, troubleshooting procedures, Platform Shakeout Tests, and Mixed Reality Training scenarios. With cutting-edge autonomous technology and an uncompromising commitment to safety, we’re shaping the future of autonomous trucking, and we need technically sharp, experienced professionals like you to ensure every Fleet Specialist is fully certified and operationally ready before they ever support a live deployment.\n \n \nYou will…\nPartner with the Training Manager to design, develop, and update technical learning materials, SOPs, job aids, interactive modules, and assessment using established instructional design methodologies (e.g., ADDIE, SAM).\nDirectly conduct new-hire onboarding for Fleet Specialists, executing the full training curriculum from classroom instruction through field certification.\nDeliver structured instruction across all VO and FS phases.\nParticipate in VO and FS training ridealongs as a Fleet Specialist resource, providing trainees with real-time context on vehicle systems, operational support responsibilities, and FS-VO coordination in the field.\nGuide FS trainees to meet all defined proficiency thresholds.\nServe as the primary technical instructor for autonomous vehicle systems, onboard hardware, software interfaces, diagnostic tools, and fleet support procedures used by Fleet Specialists.\nDeliver and assess Platform Shakeout Test (PST) training and Mixed Reality Training (MRT) modules, ensuring all FSs can execute these procedures accurately, independently, and safely.\nExecute the continuous learning framework by delivering refresher training and recertification following new SOPs, truck upfits, software updates, and feature releases.\nAct as a key liaison between the Training Manager and Dispatch (FS Supervisors) to ensure engineering-driven changes are translated into clear, executable field instruction.\nUtilize the Daily Training Tracker and Jira update processes to formally log and monitor FS trainee progress and ongoing development activities.\nMentor high-performing Fleet Specialists through the Senior FS Trainer (Train-the-Trainer) program and support delivery of the Demo Readiness Certification.\nSupport the Training Manager in overseeing training schedules, tracking completion metrics, managing LMS records, and driving continuous improvement across all FS learning programs. \n \nQualifications:\nMinimum of 3+ years of direct experience as a Fleet Specialist or in a technically equivalent field operations role supporting autonomous or Class 8 vehicles.\nStrong technical aptitude with hands-on experience diagnosing, troubleshooting, and operating autonomous vehicle systems, onboard hardware, and software interfaces.\nDemonstrated familiarity with fleet support procedures including Platform Shakeout Tests, Mixed Reality Training scenarios, and pre/post-trip inspection protocols.\nDemonstrated ability to deliver structured, safety-critical training and conduct performance assessments in a hands-on field environment.\nStrong interpersonal and communication skills with the ability to translate complex technical concepts into clear, actionable instruction for trainees at all experience levels.\nStrong organizational skills and meticulous attention to detail, including consistent and accurate record-keeping in LMS or tracking systems.\nPassion for self-driving technologies, solving hard problems, and building a culture of safety and operational excellence.\nOccasional travel to other operational sites may be required.\n \nBonus:\nExperience with Learning Management Systems (LMS) and training record administration.\nPrior experience delivering formal training, coaching, or mentorship to peers or new hires in a technical field operations environment.\nExperience as a certified trainer or assessor, including participation in a Train-the-Trainer or similar instructor certification program.\nFamiliarity with Jira, dispatch systems, or fleet management software used in autonomous trucking operations.\n","hostedUrl":"https://jobs.lever.co/waabi/24b63bfd-8ec5-4620-a6fe-6552966bb1a1","applyUrl":"https://jobs.lever.co/waabi/24b63bfd-8ec5-4620-a6fe-6552966bb1a1/apply"},{"additionalPlain":"Perks/Benefits:\nWaabi provides a competitive benefits package that includes:\nCompetitive compensation and equity awards.\nHealth and wellness benefits encompassing Medical, Dental, and Vision coverage \nPaid parental, medical and family care leave.\nGenerous PTO Policy.\nRetirement savings plans including 401(k) or RRSP options.\nHealth savings account contribution options.\nDaily drinks, snacks, and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAdditional benefits are offered and tailored to specific country locations. \nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"Perks/Benefits:
\n\n
Waabi provides a competitive benefits package that includes:
\n
\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy.
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Operations","location":"Dallas, TX","team":"Road Operations","allLocations":["Dallas, TX"]},"createdAt":1787243525782,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will…\nPartner with the Training Manager to design, develop, and update technical learning materials, SOPs, job aids, interactive modules, and assessment using established instructional design methodologies (e.g., ADDIE, SAM).\nDirectly conduct new-hire onboarding for Vehicle Operators, executing the full training curriculum from classroom instruction through field certification.\nDeliver structured instruction across all VO and FS phases.\nAdminister JJ Keller compliance modules, Mixed Reality Training (MRT) scenarios, and driving assessments as directed by the Training Manager.\nGuide VO trainees to meet all proficiency thresholds.\nConduct routine ridealongs and provide immediate, constructive, and documented feedback using the VO performance scale.\nTranslate engineering and safety updates into clear, practical on-road instruction, ensuring VOs understand and can execute changes to autonomous system behavior.\nExecute the continuous learning framework by delivering refresher training and recertification following new SOPs, software updates, truck upfits, and feature releases.\nUtilize the Daily Training Tracker and Jira update processes to formally log and monitor VO trainee progress and development activities.\nSupport the Training Manager in maintenance, version control, and distribution of up-to-date VO training materials and documentation.\nMentor high-performing VOs through the Senior VO Trainer (Train-the-Trainer) program and support delivery of the Demo Readiness Certification.\nSupport the Training Manager in overseeing training schedules, tracking completion metrics, managing LMS records, and driving continuous improvement across all VO learning programs.\n \nQualifications:\nMinimum of 3+ years of direct experience as a Vehicle Operator or in a comparable professional driving role within transportation, logistics, or the autonomous vehicle industry.\nValid CDL (Commercial Driver’s License) with a clean driving record; direct experience operating Class 8 vehicles required.\nDemonstrated ability to deliver structured, safety-critical training and conduct performance assessments in a hands-on, on-road environment.\nStrong interpersonal and communication skills with the ability to provide clear, constructive feedback to operators at all experience levels.\nStrong organizational skills and meticulous attention to detail, including consistent and accurate record-keeping in LMS or tracking systems.\nPassion for self-driving technologies, solving hard problems, and building a culture of safety and operational excellence.\nOccasional travel to other operational sites may be required.\n \nBonus:\nExperience with Learning Management Systems (LMS) and training record administration.\nPrior experience delivering formal training, coaching, or mentorship to peers or new hires in a technical field operations environment.\nFamiliarity with autonomous vehicle systems, Mixed Reality Training (MRT), or Platform Shakeout procedures.\nExperience as a certified trainer or assessor, including participation in a Train-the-Trainer or similar instructor certification program.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will…
\n\n- Partner with the Training Manager to design, develop, and update technical learning materials, SOPs, job aids, interactive modules, and assessment using established instructional design methodologies (e.g., ADDIE, SAM).
\n- Directly conduct new-hire onboarding for Vehicle Operators, executing the full training curriculum from classroom instruction through field certification.
\n- Deliver structured instruction across all VO and FS phases.
\n- Administer JJ Keller compliance modules, Mixed Reality Training (MRT) scenarios, and driving assessments as directed by the Training Manager.
\n- Guide VO trainees to meet all proficiency thresholds.
\n- Conduct routine ridealongs and provide immediate, constructive, and documented feedback using the VO performance scale.
\n- Translate engineering and safety updates into clear, practical on-road instruction, ensuring VOs understand and can execute changes to autonomous system behavior.
\n- Execute the continuous learning framework by delivering refresher training and recertification following new SOPs, software updates, truck upfits, and feature releases.
\n- Utilize the Daily Training Tracker and Jira update processes to formally log and monitor VO trainee progress and development activities.
\n- Support the Training Manager in maintenance, version control, and distribution of up-to-date VO training materials and documentation.
\n- Mentor high-performing VOs through the Senior VO Trainer (Train-the-Trainer) program and support delivery of the Demo Readiness Certification.
\n- Support the Training Manager in overseeing training schedules, tracking completion metrics, managing LMS records, and driving continuous improvement across all VO learning programs.
\n
\n
\nQualifications:
\n\n- Minimum of 3+ years of direct experience as a Vehicle Operator or in a comparable professional driving role within transportation, logistics, or the autonomous vehicle industry.
\n- Valid CDL (Commercial Driver’s License) with a clean driving record; direct experience operating Class 8 vehicles required.
\n- Demonstrated ability to deliver structured, safety-critical training and conduct performance assessments in a hands-on, on-road environment.
\n- Strong interpersonal and communication skills with the ability to provide clear, constructive feedback to operators at all experience levels.
\n- Strong organizational skills and meticulous attention to detail, including consistent and accurate record-keeping in LMS or tracking systems.
\n- Passion for self-driving technologies, solving hard problems, and building a culture of safety and operational excellence.
\n- Occasional travel to other operational sites may be required.
\n
\n
\nBonus:
\n\n- Experience with Learning Management Systems (LMS) and training record administration.
\n- Prior experience delivering formal training, coaching, or mentorship to peers or new hires in a technical field operations environment.
\n- Familiarity with autonomous vehicle systems, Mixed Reality Training (MRT), or Platform Shakeout procedures.
\n- Experience as a certified trainer or assessor, including participation in a Train-the-Trainer or similar instructor certification program.
\n
","id":"f4922585-10cf-49bc-a4f0-e8d9527f0c25","lists":[],"text":"Training Specialist - Vehicle Operator","country":"US","workplaceType":"onsite","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will…
\n\n- Partner with the Training Manager to design, develop, and update technical learning materials, SOPs, job aids, interactive modules, and assessment using established instructional design methodologies (e.g., ADDIE, SAM).
\n- Directly conduct new-hire onboarding for Vehicle Operators, executing the full training curriculum from classroom instruction through field certification.
\n- Deliver structured instruction across all VO and FS phases.
\n- Administer JJ Keller compliance modules, Mixed Reality Training (MRT) scenarios, and driving assessments as directed by the Training Manager.
\n- Guide VO trainees to meet all proficiency thresholds.
\n- Conduct routine ridealongs and provide immediate, constructive, and documented feedback using the VO performance scale.
\n- Translate engineering and safety updates into clear, practical on-road instruction, ensuring VOs understand and can execute changes to autonomous system behavior.
\n- Execute the continuous learning framework by delivering refresher training and recertification following new SOPs, software updates, truck upfits, and feature releases.
\n- Utilize the Daily Training Tracker and Jira update processes to formally log and monitor VO trainee progress and development activities.
\n- Support the Training Manager in maintenance, version control, and distribution of up-to-date VO training materials and documentation.
\n- Mentor high-performing VOs through the Senior VO Trainer (Train-the-Trainer) program and support delivery of the Demo Readiness Certification.
\n- Support the Training Manager in overseeing training schedules, tracking completion metrics, managing LMS records, and driving continuous improvement across all VO learning programs.
\n
\n
\nQualifications:
\n\n- Minimum of 3+ years of direct experience as a Vehicle Operator or in a comparable professional driving role within transportation, logistics, or the autonomous vehicle industry.
\n- Valid CDL (Commercial Driver’s License) with a clean driving record; direct experience operating Class 8 vehicles required.
\n- Demonstrated ability to deliver structured, safety-critical training and conduct performance assessments in a hands-on, on-road environment.
\n- Strong interpersonal and communication skills with the ability to provide clear, constructive feedback to operators at all experience levels.
\n- Strong organizational skills and meticulous attention to detail, including consistent and accurate record-keeping in LMS or tracking systems.
\n- Passion for self-driving technologies, solving hard problems, and building a culture of safety and operational excellence.
\n- Occasional travel to other operational sites may be required.
\n
\n
\nBonus:
\n\n- Experience with Learning Management Systems (LMS) and training record administration.
\n- Prior experience delivering formal training, coaching, or mentorship to peers or new hires in a technical field operations environment.
\n- Familiarity with autonomous vehicle systems, Mixed Reality Training (MRT), or Platform Shakeout procedures.
\n- Experience as a certified trainer or assessor, including participation in a Train-the-Trainer or similar instructor certification program.
\n
","descriptionBodyPlain":"You will…\nPartner with the Training Manager to design, develop, and update technical learning materials, SOPs, job aids, interactive modules, and assessment using established instructional design methodologies (e.g., ADDIE, SAM).\nDirectly conduct new-hire onboarding for Vehicle Operators, executing the full training curriculum from classroom instruction through field certification.\nDeliver structured instruction across all VO and FS phases.\nAdminister JJ Keller compliance modules, Mixed Reality Training (MRT) scenarios, and driving assessments as directed by the Training Manager.\nGuide VO trainees to meet all proficiency thresholds.\nConduct routine ridealongs and provide immediate, constructive, and documented feedback using the VO performance scale.\nTranslate engineering and safety updates into clear, practical on-road instruction, ensuring VOs understand and can execute changes to autonomous system behavior.\nExecute the continuous learning framework by delivering refresher training and recertification following new SOPs, software updates, truck upfits, and feature releases.\nUtilize the Daily Training Tracker and Jira update processes to formally log and monitor VO trainee progress and development activities.\nSupport the Training Manager in maintenance, version control, and distribution of up-to-date VO training materials and documentation.\nMentor high-performing VOs through the Senior VO Trainer (Train-the-Trainer) program and support delivery of the Demo Readiness Certification.\nSupport the Training Manager in overseeing training schedules, tracking completion metrics, managing LMS records, and driving continuous improvement across all VO learning programs.\n \nQualifications:\nMinimum of 3+ years of direct experience as a Vehicle Operator or in a comparable professional driving role within transportation, logistics, or the autonomous vehicle industry.\nValid CDL (Commercial Driver’s License) with a clean driving record; direct experience operating Class 8 vehicles required.\nDemonstrated ability to deliver structured, safety-critical training and conduct performance assessments in a hands-on, on-road environment.\nStrong interpersonal and communication skills with the ability to provide clear, constructive feedback to operators at all experience levels.\nStrong organizational skills and meticulous attention to detail, including consistent and accurate record-keeping in LMS or tracking systems.\nPassion for self-driving technologies, solving hard problems, and building a culture of safety and operational excellence.\nOccasional travel to other operational sites may be required.\n \nBonus:\nExperience with Learning Management Systems (LMS) and training record administration.\nPrior experience delivering formal training, coaching, or mentorship to peers or new hires in a technical field operations environment.\nFamiliarity with autonomous vehicle systems, Mixed Reality Training (MRT), or Platform Shakeout procedures.\nExperience as a certified trainer or assessor, including participation in a Train-the-Trainer or similar instructor certification program.\n","hostedUrl":"https://jobs.lever.co/waabi/f4922585-10cf-49bc-a4f0-e8d9527f0c25","applyUrl":"https://jobs.lever.co/waabi/f4922585-10cf-49bc-a4f0-e8d9527f0c25/apply"},{"additionalPlain":"Perks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Hardware","location":"Pittsburgh, PA","team":"V&V","allLocations":["Pittsburgh, PA"]},"createdAt":1787069492534,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou Will…\nV&V Execution and Quality Assurance \nCharacterize the vehicle and derive electrical requirements, decomposing them to module and component level with bidirectional traceability to test evidence.\nOwn the electrical DVP&R - plan and execute functional and performance testing, including EMC/EMI, and electrical stress and robustness testing, on prototypes and production-intent hardware. Build and maintain custom fixturing as necessary.\nIdentify and troubleshoot electrical functionality, compatibility, and performance issues; lead root cause analysis and drive corrective actions to closure.\nCross-Functional Collaboration \nPartner with design, systems, quality and software engineers to integrate electrical V&V and Design for Test (DfT) into the wider program.\nDocument and present test results and recommendations to design teams and program leadership to drive improvements.\nRegulatory Compliance and Certification \nManage all aspects of Compliance Testing and Certification while adhering to ISO 26262 and UL 4600.\nPlan and execute critical compliance tests in accordance with standards such as ISO 16750, 11451/11452, UL, CE, IEC and various OEM standards.\nCertification Management \nCoordinate with external accredited laboratories for pre-compliance and formal certification testing.\nOversee the analysis of test failures, perform root cause analysis on non-compliance issues, and maintain all detailed test reports, compliance logs, and documentation required for certification.\nProcess and Toolchain Development \nBuild and evolve Waabi's electrical V&V methodology, lab capability, and toolchain.\nAssess a new OEM's DV/PV process quickly and advise leadership on level of effort, complexity, and cost relative to Waabi's.\nQualifications:\n5 + years in an Electrical V&V role, preferably automotive or heavy vehicle.\nMinimum of a Bachelor’s of Science in Engineering.\nUnderstand all aspects of an automotive DV/PV process.\nDeep understanding of the automotive PPAP process.\nWorking knowledge with automotive APQP.\nExperience working directly with Automotive OEMs, Tier 1 & 2 suppliers.\n“On your feet” knowledge of International automotive environmental and EMC standards, including SAE J1455, ISO 11451 / 11452, or MIL-STD-810.\nWorking knowledge of AEC standards.\nAbility to adjust V&V Process to support various OEMs.\nDirect experience characterizing vehicles to set environmental and EMC requirements for new projects or OEMs.\nBonus/nice to have:\nExperience working in an Agile/Scrum environment.\nTechnical experience in developing self-driving vehicles.\nExperience with the NRTL (UL) and CE certification.\nExperience with SolidWorks, ANSYS, Polarion.\nExperience designing and building HIL test benches and automating regression testing.\nAccelerated life testing, HALT/HASS, and Weibull or reliability demonstration analysis.\nAbility to perform risk analysis and prevention, FMEA, FTA, RCA.\nExperience with CANbus, Python, Shell, Unix OS, SPICE.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You Will…
\n\n- V&V Execution and Quality Assurance\n
\n- Characterize the vehicle and derive electrical requirements, decomposing them to module and component level with bidirectional traceability to test evidence.
\n- Own the electrical DVP&R - plan and execute functional and performance testing, including EMC/EMI, and electrical stress and robustness testing, on prototypes and production-intent hardware. Build and maintain custom fixturing as necessary.
\n- Identify and troubleshoot electrical functionality, compatibility, and performance issues; lead root cause analysis and drive corrective actions to closure.
\n
\n \n- Cross-Functional Collaboration\n
\n- Partner with design, systems, quality and software engineers to integrate electrical V&V and Design for Test (DfT) into the wider program.
\n- Document and present test results and recommendations to design teams and program leadership to drive improvements.
\n
\n \n- Regulatory Compliance and Certification\n
\n- Manage all aspects of Compliance Testing and Certification while adhering to ISO 26262 and UL 4600.
\n- Plan and execute critical compliance tests in accordance with standards such as ISO 16750, 11451/11452, UL, CE, IEC and various OEM standards.
\n
\n \n- Certification Management\n
\n- Coordinate with external accredited laboratories for pre-compliance and formal certification testing.
\n- Oversee the analysis of test failures, perform root cause analysis on non-compliance issues, and maintain all detailed test reports, compliance logs, and documentation required for certification.
\n
\n \n- Process and Toolchain Development\n
\n- Build and evolve Waabi's electrical V&V methodology, lab capability, and toolchain.
\n- Assess a new OEM's DV/PV process quickly and advise leadership on level of effort, complexity, and cost relative to Waabi's.
\n
\n \n
\nQualifications:
\n\n
\n- 5 + years in an Electrical V&V role, preferably automotive or heavy vehicle.
\n- Minimum of a Bachelor’s of Science in Engineering.
\n- Understand all aspects of an automotive DV/PV process.
\n- Deep understanding of the automotive PPAP process.
\n- Working knowledge with automotive APQP.
\n- Experience working directly with Automotive OEMs, Tier 1 & 2 suppliers.
\n- “On your feet” knowledge of International automotive environmental and EMC standards, including SAE J1455, ISO 11451 / 11452, or MIL-STD-810.
\n- Working knowledge of AEC standards.
\n- Ability to adjust V&V Process to support various OEMs.
\n- Direct experience characterizing vehicles to set environmental and EMC requirements for new projects or OEMs.
\n
\n
Bonus/nice to have:
\n\n- Experience working in an Agile/Scrum environment.
\n- Technical experience in developing self-driving vehicles.
\n- Experience with the NRTL (UL) and CE certification.
\n- Experience with SolidWorks, ANSYS, Polarion.
\n- Experience designing and building HIL test benches and automating regression testing.
\n- Accelerated life testing, HALT/HASS, and Weibull or reliability demonstration analysis.
\n- Ability to perform risk analysis and prevention, FMEA, FTA, RCA.
\n- Experience with CANbus, Python, Shell, Unix OS, SPICE.
\n
","id":"c4309c3b-91a3-4415-b53b-2993937c88ce","lists":[],"text":"V&V Engineer, Electrical","country":"US","workplaceType":"onsite","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You Will…
\n\n- V&V Execution and Quality Assurance\n
\n- Characterize the vehicle and derive electrical requirements, decomposing them to module and component level with bidirectional traceability to test evidence.
\n- Own the electrical DVP&R - plan and execute functional and performance testing, including EMC/EMI, and electrical stress and robustness testing, on prototypes and production-intent hardware. Build and maintain custom fixturing as necessary.
\n- Identify and troubleshoot electrical functionality, compatibility, and performance issues; lead root cause analysis and drive corrective actions to closure.
\n
\n \n- Cross-Functional Collaboration\n
\n- Partner with design, systems, quality and software engineers to integrate electrical V&V and Design for Test (DfT) into the wider program.
\n- Document and present test results and recommendations to design teams and program leadership to drive improvements.
\n
\n \n- Regulatory Compliance and Certification\n
\n- Manage all aspects of Compliance Testing and Certification while adhering to ISO 26262 and UL 4600.
\n- Plan and execute critical compliance tests in accordance with standards such as ISO 16750, 11451/11452, UL, CE, IEC and various OEM standards.
\n
\n \n- Certification Management\n
\n- Coordinate with external accredited laboratories for pre-compliance and formal certification testing.
\n- Oversee the analysis of test failures, perform root cause analysis on non-compliance issues, and maintain all detailed test reports, compliance logs, and documentation required for certification.
\n
\n \n- Process and Toolchain Development\n
\n- Build and evolve Waabi's electrical V&V methodology, lab capability, and toolchain.
\n- Assess a new OEM's DV/PV process quickly and advise leadership on level of effort, complexity, and cost relative to Waabi's.
\n
\n \n
\nQualifications:
\n\n
\n- 5 + years in an Electrical V&V role, preferably automotive or heavy vehicle.
\n- Minimum of a Bachelor’s of Science in Engineering.
\n- Understand all aspects of an automotive DV/PV process.
\n- Deep understanding of the automotive PPAP process.
\n- Working knowledge with automotive APQP.
\n- Experience working directly with Automotive OEMs, Tier 1 & 2 suppliers.
\n- “On your feet” knowledge of International automotive environmental and EMC standards, including SAE J1455, ISO 11451 / 11452, or MIL-STD-810.
\n- Working knowledge of AEC standards.
\n- Ability to adjust V&V Process to support various OEMs.
\n- Direct experience characterizing vehicles to set environmental and EMC requirements for new projects or OEMs.
\n
\n
Bonus/nice to have:
\n\n- Experience working in an Agile/Scrum environment.
\n- Technical experience in developing self-driving vehicles.
\n- Experience with the NRTL (UL) and CE certification.
\n- Experience with SolidWorks, ANSYS, Polarion.
\n- Experience designing and building HIL test benches and automating regression testing.
\n- Accelerated life testing, HALT/HASS, and Weibull or reliability demonstration analysis.
\n- Ability to perform risk analysis and prevention, FMEA, FTA, RCA.
\n- Experience with CANbus, Python, Shell, Unix OS, SPICE.
\n
","descriptionBodyPlain":"You Will…\nV&V Execution and Quality Assurance \nCharacterize the vehicle and derive electrical requirements, decomposing them to module and component level with bidirectional traceability to test evidence.\nOwn the electrical DVP&R - plan and execute functional and performance testing, including EMC/EMI, and electrical stress and robustness testing, on prototypes and production-intent hardware. Build and maintain custom fixturing as necessary.\nIdentify and troubleshoot electrical functionality, compatibility, and performance issues; lead root cause analysis and drive corrective actions to closure.\nCross-Functional Collaboration \nPartner with design, systems, quality and software engineers to integrate electrical V&V and Design for Test (DfT) into the wider program.\nDocument and present test results and recommendations to design teams and program leadership to drive improvements.\nRegulatory Compliance and Certification \nManage all aspects of Compliance Testing and Certification while adhering to ISO 26262 and UL 4600.\nPlan and execute critical compliance tests in accordance with standards such as ISO 16750, 11451/11452, UL, CE, IEC and various OEM standards.\nCertification Management \nCoordinate with external accredited laboratories for pre-compliance and formal certification testing.\nOversee the analysis of test failures, perform root cause analysis on non-compliance issues, and maintain all detailed test reports, compliance logs, and documentation required for certification.\nProcess and Toolchain Development \nBuild and evolve Waabi's electrical V&V methodology, lab capability, and toolchain.\nAssess a new OEM's DV/PV process quickly and advise leadership on level of effort, complexity, and cost relative to Waabi's.\nQualifications:\n5 + years in an Electrical V&V role, preferably automotive or heavy vehicle.\nMinimum of a Bachelor’s of Science in Engineering.\nUnderstand all aspects of an automotive DV/PV process.\nDeep understanding of the automotive PPAP process.\nWorking knowledge with automotive APQP.\nExperience working directly with Automotive OEMs, Tier 1 & 2 suppliers.\n“On your feet” knowledge of International automotive environmental and EMC standards, including SAE J1455, ISO 11451 / 11452, or MIL-STD-810.\nWorking knowledge of AEC standards.\nAbility to adjust V&V Process to support various OEMs.\nDirect experience characterizing vehicles to set environmental and EMC requirements for new projects or OEMs.\nBonus/nice to have:\nExperience working in an Agile/Scrum environment.\nTechnical experience in developing self-driving vehicles.\nExperience with the NRTL (UL) and CE certification.\nExperience with SolidWorks, ANSYS, Polarion.\nExperience designing and building HIL test benches and automating regression testing.\nAccelerated life testing, HALT/HASS, and Weibull or reliability demonstration analysis.\nAbility to perform risk analysis and prevention, FMEA, FTA, RCA.\nExperience with CANbus, Python, Shell, Unix OS, SPICE.\n","hostedUrl":"https://jobs.lever.co/waabi/c4309c3b-91a3-4415-b53b-2993937c88ce","applyUrl":"https://jobs.lever.co/waabi/c4309c3b-91a3-4415-b53b-2993937c88ce/apply"},{"additionalPlain":"Perks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Hardware","location":"Pittsburgh, PA","team":"V&V","allLocations":["Pittsburgh, PA"]},"createdAt":1787070304363,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou Will…\nV&V Execution and Quality Assurance \nCharacterize the vehicle and derive requirements, decomposing them to module and component level with bidirectional traceability to test evidence.\nSupport / co-own the mechanical or electrical DVP&R - plan and execute functional and performance testing on prototypes and production-intent hardware.\nCooperate with mechanical and electrical V&V to perform EMI / EMC, vibration, shock, thermal, and environmental testing\nBuild and maintain HIL benches and custom fixturing and automate regression testing\nIdentify and troubleshoot firmware functionality, compatibility, and performance issues; lead root cause analysis and drive corrective actions to closure.\nCross-Functional Collaboration \nPartner with design, systems, quality and software engineers to integrate electrical V&V and Design for Test (DfT) into the wider program.\nDocument and present test results and recommendations to design teams and program leadership to drive improvements.\nRegulatory Compliance and Certification \nManage all aspects of Compliance Testing and Certification while adhering to ISO 26262 and UL 4600.\nPlan and execute critical compliance tests in accordance with standards such as ISO 16750, 11451/11452, UL, CE, IEC and various OEM standards.\nCertification Management \nCoordinate with external accredited laboratories for pre-compliance and formal certification testing.\nOversee the analysis of test failures, perform root cause analysis on non-compliance issues, and maintain all detailed test reports, compliance logs, and documentation required for certification.\nProcess and Toolchain Development \nBuild and evolve Waabi's V&V methodology, automation toolchain, and bench infrastructure.\nAssess a new OEM's DV/PV process quickly and advise leadership on level of effort, complexity, and cost relative to Waabi's.\nQualifications:\n5 + years in an Electrical or Firmware / Software V&V role, especially automotive.\nMinimum of a Bachelor’s of Science in Engineering.\nUnderstand all aspects of an automotive DV/PV process.\nDeep understanding of the automotive PPAP process.\nWorking knowledge with automotive APQP.\nExperience working directly with Automotive OEMs, Tier 1 & 2 suppliers.\n“On your feet” knowledge of International automotive environmental and safety standards, including ASTM B117, SAE J1455, or ISO 16750 and 11451/11452.\nWorking knowledge of AEC standards.\nAbility to adjust V&V Process to support various OEMs.\nExperience with CANbus, Python, Shell, Unix OS, SPICE.\nBonus/nice to have:\nExperience working in an Agile/Scrum environment.\nTechnical experience in developing self-driving vehicles.\nExperience with the NRTL (UL) and CE certification.\nExperience directly instrumenting cars and trucks to model the mechanical or electrical system and / or perform shock, vibration, EMC testing.\nExperience with SolidWorks, ANSYS, Polarion.\nAccelerated life testing, HALT/HASS, and Weibull or reliability demonstration analysis.\nAbility to perform risk analysis and prevention, FMEA, FTA, RCA.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You Will…
\n\n- V&V Execution and Quality Assurance\n
\n- Characterize the vehicle and derive requirements, decomposing them to module and component level with bidirectional traceability to test evidence.
\n- Support / co-own the mechanical or electrical DVP&R - plan and execute functional and performance testing on prototypes and production-intent hardware.
\n- Cooperate with mechanical and electrical V&V to perform EMI / EMC, vibration, shock, thermal, and environmental testing
\n- Build and maintain HIL benches and custom fixturing and automate regression testing
\n- Identify and troubleshoot firmware functionality, compatibility, and performance issues; lead root cause analysis and drive corrective actions to closure.
\n
\n \n- Cross-Functional Collaboration\n
\n- Partner with design, systems, quality and software engineers to integrate electrical V&V and Design for Test (DfT) into the wider program.
\n- Document and present test results and recommendations to design teams and program leadership to drive improvements.
\n
\n \n- Regulatory Compliance and Certification\n
\n- Manage all aspects of Compliance Testing and Certification while adhering to ISO 26262 and UL 4600.
\n- Plan and execute critical compliance tests in accordance with standards such as ISO 16750, 11451/11452, UL, CE, IEC and various OEM standards.
\n
\n \n- Certification Management\n
\n- Coordinate with external accredited laboratories for pre-compliance and formal certification testing.
\n- Oversee the analysis of test failures, perform root cause analysis on non-compliance issues, and maintain all detailed test reports, compliance logs, and documentation required for certification.
\n
\n \n- Process and Toolchain Development\n
\n- Build and evolve Waabi's V&V methodology, automation toolchain, and bench infrastructure.
\n- Assess a new OEM's DV/PV process quickly and advise leadership on level of effort, complexity, and cost relative to Waabi's.
\n
\n \n
\nQualifications:
\n\n- 5 + years in an Electrical or Firmware / Software V&V role, especially automotive.
\n- Minimum of a Bachelor’s of Science in Engineering.
\n- Understand all aspects of an automotive DV/PV process.
\n- Deep understanding of the automotive PPAP process.
\n- Working knowledge with automotive APQP.
\n- Experience working directly with Automotive OEMs, Tier 1 & 2 suppliers.
\n- “On your feet” knowledge of International automotive environmental and safety standards, including ASTM B117, SAE J1455, or ISO 16750 and 11451/11452.
\n- Working knowledge of AEC standards.
\n- Ability to adjust V&V Process to support various OEMs.
\n- Experience with CANbus, Python, Shell, Unix OS, SPICE.
\n
\nBonus/nice to have:
\n\n- Experience working in an Agile/Scrum environment.
\n- Technical experience in developing self-driving vehicles.
\n- Experience with the NRTL (UL) and CE certification.
\n- Experience directly instrumenting cars and trucks to model the mechanical or electrical system and / or perform shock, vibration, EMC testing.
\n- Experience with SolidWorks, ANSYS, Polarion.
\n- Accelerated life testing, HALT/HASS, and Weibull or reliability demonstration analysis.
\n- Ability to perform risk analysis and prevention, FMEA, FTA, RCA.
\n
","id":"959696fa-1891-42a5-bc5d-5651f327f29b","lists":[],"text":"V&V Engineer, Firmware","country":"US","workplaceType":"onsite","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You Will…
\n\n- V&V Execution and Quality Assurance\n
\n- Characterize the vehicle and derive requirements, decomposing them to module and component level with bidirectional traceability to test evidence.
\n- Support / co-own the mechanical or electrical DVP&R - plan and execute functional and performance testing on prototypes and production-intent hardware.
\n- Cooperate with mechanical and electrical V&V to perform EMI / EMC, vibration, shock, thermal, and environmental testing
\n- Build and maintain HIL benches and custom fixturing and automate regression testing
\n- Identify and troubleshoot firmware functionality, compatibility, and performance issues; lead root cause analysis and drive corrective actions to closure.
\n
\n \n- Cross-Functional Collaboration\n
\n- Partner with design, systems, quality and software engineers to integrate electrical V&V and Design for Test (DfT) into the wider program.
\n- Document and present test results and recommendations to design teams and program leadership to drive improvements.
\n
\n \n- Regulatory Compliance and Certification\n
\n- Manage all aspects of Compliance Testing and Certification while adhering to ISO 26262 and UL 4600.
\n- Plan and execute critical compliance tests in accordance with standards such as ISO 16750, 11451/11452, UL, CE, IEC and various OEM standards.
\n
\n \n- Certification Management\n
\n- Coordinate with external accredited laboratories for pre-compliance and formal certification testing.
\n- Oversee the analysis of test failures, perform root cause analysis on non-compliance issues, and maintain all detailed test reports, compliance logs, and documentation required for certification.
\n
\n \n- Process and Toolchain Development\n
\n- Build and evolve Waabi's V&V methodology, automation toolchain, and bench infrastructure.
\n- Assess a new OEM's DV/PV process quickly and advise leadership on level of effort, complexity, and cost relative to Waabi's.
\n
\n \n
\nQualifications:
\n\n- 5 + years in an Electrical or Firmware / Software V&V role, especially automotive.
\n- Minimum of a Bachelor’s of Science in Engineering.
\n- Understand all aspects of an automotive DV/PV process.
\n- Deep understanding of the automotive PPAP process.
\n- Working knowledge with automotive APQP.
\n- Experience working directly with Automotive OEMs, Tier 1 & 2 suppliers.
\n- “On your feet” knowledge of International automotive environmental and safety standards, including ASTM B117, SAE J1455, or ISO 16750 and 11451/11452.
\n- Working knowledge of AEC standards.
\n- Ability to adjust V&V Process to support various OEMs.
\n- Experience with CANbus, Python, Shell, Unix OS, SPICE.
\n
\nBonus/nice to have:
\n\n- Experience working in an Agile/Scrum environment.
\n- Technical experience in developing self-driving vehicles.
\n- Experience with the NRTL (UL) and CE certification.
\n- Experience directly instrumenting cars and trucks to model the mechanical or electrical system and / or perform shock, vibration, EMC testing.
\n- Experience with SolidWorks, ANSYS, Polarion.
\n- Accelerated life testing, HALT/HASS, and Weibull or reliability demonstration analysis.
\n- Ability to perform risk analysis and prevention, FMEA, FTA, RCA.
\n
","descriptionBodyPlain":"You Will…\nV&V Execution and Quality Assurance \nCharacterize the vehicle and derive requirements, decomposing them to module and component level with bidirectional traceability to test evidence.\nSupport / co-own the mechanical or electrical DVP&R - plan and execute functional and performance testing on prototypes and production-intent hardware.\nCooperate with mechanical and electrical V&V to perform EMI / EMC, vibration, shock, thermal, and environmental testing\nBuild and maintain HIL benches and custom fixturing and automate regression testing\nIdentify and troubleshoot firmware functionality, compatibility, and performance issues; lead root cause analysis and drive corrective actions to closure.\nCross-Functional Collaboration \nPartner with design, systems, quality and software engineers to integrate electrical V&V and Design for Test (DfT) into the wider program.\nDocument and present test results and recommendations to design teams and program leadership to drive improvements.\nRegulatory Compliance and Certification \nManage all aspects of Compliance Testing and Certification while adhering to ISO 26262 and UL 4600.\nPlan and execute critical compliance tests in accordance with standards such as ISO 16750, 11451/11452, UL, CE, IEC and various OEM standards.\nCertification Management \nCoordinate with external accredited laboratories for pre-compliance and formal certification testing.\nOversee the analysis of test failures, perform root cause analysis on non-compliance issues, and maintain all detailed test reports, compliance logs, and documentation required for certification.\nProcess and Toolchain Development \nBuild and evolve Waabi's V&V methodology, automation toolchain, and bench infrastructure.\nAssess a new OEM's DV/PV process quickly and advise leadership on level of effort, complexity, and cost relative to Waabi's.\nQualifications:\n5 + years in an Electrical or Firmware / Software V&V role, especially automotive.\nMinimum of a Bachelor’s of Science in Engineering.\nUnderstand all aspects of an automotive DV/PV process.\nDeep understanding of the automotive PPAP process.\nWorking knowledge with automotive APQP.\nExperience working directly with Automotive OEMs, Tier 1 & 2 suppliers.\n“On your feet” knowledge of International automotive environmental and safety standards, including ASTM B117, SAE J1455, or ISO 16750 and 11451/11452.\nWorking knowledge of AEC standards.\nAbility to adjust V&V Process to support various OEMs.\nExperience with CANbus, Python, Shell, Unix OS, SPICE.\nBonus/nice to have:\nExperience working in an Agile/Scrum environment.\nTechnical experience in developing self-driving vehicles.\nExperience with the NRTL (UL) and CE certification.\nExperience directly instrumenting cars and trucks to model the mechanical or electrical system and / or perform shock, vibration, EMC testing.\nExperience with SolidWorks, ANSYS, Polarion.\nAccelerated life testing, HALT/HASS, and Weibull or reliability demonstration analysis.\nAbility to perform risk analysis and prevention, FMEA, FTA, RCA.\n","hostedUrl":"https://jobs.lever.co/waabi/959696fa-1891-42a5-bc5d-5651f327f29b","applyUrl":"https://jobs.lever.co/waabi/959696fa-1891-42a5-bc5d-5651f327f29b/apply"},{"additionalPlain":"Perks/Benefits:\nCompetitive compensation and equity awards.\nHealth and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\nUnlimited Vacation.\nFlexible hours and Work from Home support.\nDaily drinks, snacks and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"Perks/Benefits:
\n\n- Competitive compensation and equity awards.
\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
\n- Unlimited Vacation.
\n- Flexible hours and Work from Home support.
\n- Daily drinks, snacks and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Hardware","location":"Pittsburgh, PA","team":"V&V","allLocations":["Pittsburgh, PA"]},"createdAt":1786999932844,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\nV&V Execution and Quality Assurance \nCharacterize the vehicle and derive mechanical requirements, decomposing them to module and component level with bidirectional traceability to test evidence.\nOwn the mechanical DVP&R - plan and execute functional and performance testing, including vibration, shock, thermal, environmental, on prototypes and production-intent hardware. Build and maintain custom fixturing as necessary.\nIdentify and troubleshoot mechanical functionality, compatibility, and performance issues; lead root cause analysis and drive corrective actions to closure.\nCross-Functional Collaboration \nPartner with design, systems, quality and software engineers to integrate mechanical V&V and Design for Test (DfT) into the wider program.\nDocument and present test results and recommendations to design teams and program leadership to drive improvements.\nRegulatory Compliance and Certification \nManage all aspects of Compliance Testing and Certification while adhering to ISO 26262 and UL 4600.\nPlan and execute critical compliance tests in accordance with standards such as SAE J1455, ISO 16750, UL, CE, IEC and various OEM standards.\nCertification Management \nCoordinate with external accredited laboratories for pre-compliance and formal certification testing.\nOversee the analysis of test failures, perform root cause analysis on non-compliance issues, and maintain all detailed test reports, compliance logs, and documentation required for certification.\nProcess and Toolchain Development \nBuild and evolve Waabi's mechanical V&V methodology, lab capability, and toolchain.\nAssess a new OEM's DV/PV process quickly and advise leadership on level of effort, complexity, and cost relative to Waabi's.\n \nQualifications:\n5 + years in an Mechanical V&V role, preferably automotive or heavy vehicle.\nMinimum of a Bachelor’s of Science in Engineering\nUnderstand all aspects of an automotive DV/PV process.\nDeep understanding of the automotive PPAP process.\nWorking knowledge with automotive APQP.\nExperience working directly with Automotive OEMs, Tier 1 & 2 suppliers.\n“On your feet” knowledge of International automotive environmental and safety standards, including ASTM B117, SAE J1455, or MIL-STD-810.\nWorking knowledge of AEC standards.\nAbility to adjust V&V Process to support various OEMs.\nDirect experience characterizing vehicles to set environmental requirements for new projects or OEMs.\nBonus/nice to have:\nExperience working in an Agile/Scrum environment.\nTechnical experience in developing self-driving vehicles.\nExperience with the NRTL (UL) and CE certification.\nExperience with SolidWorks, ANSYS, Polarion.\nExperience designing and building HIL test benches and automating regression testing.\nAccelerated life testing, HALT/HASS, and Weibull or reliability demonstration analysis.\nAbility to perform risk analysis and prevention, FMEA, FTA, RCA, FEA.\nExperience with CANbus, Python, Shell, Unix OS.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will...
\n\n- V&V Execution and Quality Assurance\n
\n- Characterize the vehicle and derive mechanical requirements, decomposing them to module and component level with bidirectional traceability to test evidence.
\n- Own the mechanical DVP&R - plan and execute functional and performance testing, including vibration, shock, thermal, environmental, on prototypes and production-intent hardware. Build and maintain custom fixturing as necessary.
\n- Identify and troubleshoot mechanical functionality, compatibility, and performance issues; lead root cause analysis and drive corrective actions to closure.
\n
\n \n- Cross-Functional Collaboration\n
\n- Partner with design, systems, quality and software engineers to integrate mechanical V&V and Design for Test (DfT) into the wider program.
\n- Document and present test results and recommendations to design teams and program leadership to drive improvements.
\n
\n \n- Regulatory Compliance and Certification\n
\n- Manage all aspects of Compliance Testing and Certification while adhering to ISO 26262 and UL 4600.
\n- Plan and execute critical compliance tests in accordance with standards such as SAE J1455, ISO 16750, UL, CE, IEC and various OEM standards.
\n
\n \n- Certification Management\n
\n- Coordinate with external accredited laboratories for pre-compliance and formal certification testing.
\n- Oversee the analysis of test failures, perform root cause analysis on non-compliance issues, and maintain all detailed test reports, compliance logs, and documentation required for certification.
\n
\n \n- Process and Toolchain Development\n
\n- Build and evolve Waabi's mechanical V&V methodology, lab capability, and toolchain.
\n- Assess a new OEM's DV/PV process quickly and advise leadership on level of effort, complexity, and cost relative to Waabi's.
\n
\n \n
\n
\nQualifications:
\n\n- 5 + years in an Mechanical V&V role, preferably automotive or heavy vehicle.
\n- Minimum of a Bachelor’s of Science in Engineering
\n- Understand all aspects of an automotive DV/PV process.
\n- Deep understanding of the automotive PPAP process.
\n- Working knowledge with automotive APQP.
\n- Experience working directly with Automotive OEMs, Tier 1 & 2 suppliers.
\n- “On your feet” knowledge of International automotive environmental and safety standards, including ASTM B117, SAE J1455, or MIL-STD-810.
\n- Working knowledge of AEC standards.
\n- Ability to adjust V&V Process to support various OEMs.
\n- Direct experience characterizing vehicles to set environmental requirements for new projects or OEMs.
\n
\nBonus/nice to have:
\n\n- Experience working in an Agile/Scrum environment.
\n- Technical experience in developing self-driving vehicles.
\n- Experience with the NRTL (UL) and CE certification.
\n- Experience with SolidWorks, ANSYS, Polarion.
\n- Experience designing and building HIL test benches and automating regression testing.
\n- Accelerated life testing, HALT/HASS, and Weibull or reliability demonstration analysis.
\n- Ability to perform risk analysis and prevention, FMEA, FTA, RCA, FEA.
\n- Experience with CANbus, Python, Shell, Unix OS.
\n
","id":"7832d827-8719-43de-aa74-06a36dc84867","lists":[],"text":"V&V Engineer, Mechanical","country":"US","workplaceType":"onsite","opening":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"You will...
\n\n- V&V Execution and Quality Assurance\n
\n- Characterize the vehicle and derive mechanical requirements, decomposing them to module and component level with bidirectional traceability to test evidence.
\n- Own the mechanical DVP&R - plan and execute functional and performance testing, including vibration, shock, thermal, environmental, on prototypes and production-intent hardware. Build and maintain custom fixturing as necessary.
\n- Identify and troubleshoot mechanical functionality, compatibility, and performance issues; lead root cause analysis and drive corrective actions to closure.
\n
\n \n- Cross-Functional Collaboration\n
\n- Partner with design, systems, quality and software engineers to integrate mechanical V&V and Design for Test (DfT) into the wider program.
\n- Document and present test results and recommendations to design teams and program leadership to drive improvements.
\n
\n \n- Regulatory Compliance and Certification\n
\n- Manage all aspects of Compliance Testing and Certification while adhering to ISO 26262 and UL 4600.
\n- Plan and execute critical compliance tests in accordance with standards such as SAE J1455, ISO 16750, UL, CE, IEC and various OEM standards.
\n
\n \n- Certification Management\n
\n- Coordinate with external accredited laboratories for pre-compliance and formal certification testing.
\n- Oversee the analysis of test failures, perform root cause analysis on non-compliance issues, and maintain all detailed test reports, compliance logs, and documentation required for certification.
\n
\n \n- Process and Toolchain Development\n
\n- Build and evolve Waabi's mechanical V&V methodology, lab capability, and toolchain.
\n- Assess a new OEM's DV/PV process quickly and advise leadership on level of effort, complexity, and cost relative to Waabi's.
\n
\n \n
\n
\nQualifications:
\n\n- 5 + years in an Mechanical V&V role, preferably automotive or heavy vehicle.
\n- Minimum of a Bachelor’s of Science in Engineering
\n- Understand all aspects of an automotive DV/PV process.
\n- Deep understanding of the automotive PPAP process.
\n- Working knowledge with automotive APQP.
\n- Experience working directly with Automotive OEMs, Tier 1 & 2 suppliers.
\n- “On your feet” knowledge of International automotive environmental and safety standards, including ASTM B117, SAE J1455, or MIL-STD-810.
\n- Working knowledge of AEC standards.
\n- Ability to adjust V&V Process to support various OEMs.
\n- Direct experience characterizing vehicles to set environmental requirements for new projects or OEMs.
\n
\nBonus/nice to have:
\n\n- Experience working in an Agile/Scrum environment.
\n- Technical experience in developing self-driving vehicles.
\n- Experience with the NRTL (UL) and CE certification.
\n- Experience with SolidWorks, ANSYS, Polarion.
\n- Experience designing and building HIL test benches and automating regression testing.
\n- Accelerated life testing, HALT/HASS, and Weibull or reliability demonstration analysis.
\n- Ability to perform risk analysis and prevention, FMEA, FTA, RCA, FEA.
\n- Experience with CANbus, Python, Shell, Unix OS.
\n
","descriptionBodyPlain":"You will...\nV&V Execution and Quality Assurance \nCharacterize the vehicle and derive mechanical requirements, decomposing them to module and component level with bidirectional traceability to test evidence.\nOwn the mechanical DVP&R - plan and execute functional and performance testing, including vibration, shock, thermal, environmental, on prototypes and production-intent hardware. Build and maintain custom fixturing as necessary.\nIdentify and troubleshoot mechanical functionality, compatibility, and performance issues; lead root cause analysis and drive corrective actions to closure.\nCross-Functional Collaboration \nPartner with design, systems, quality and software engineers to integrate mechanical V&V and Design for Test (DfT) into the wider program.\nDocument and present test results and recommendations to design teams and program leadership to drive improvements.\nRegulatory Compliance and Certification \nManage all aspects of Compliance Testing and Certification while adhering to ISO 26262 and UL 4600.\nPlan and execute critical compliance tests in accordance with standards such as SAE J1455, ISO 16750, UL, CE, IEC and various OEM standards.\nCertification Management \nCoordinate with external accredited laboratories for pre-compliance and formal certification testing.\nOversee the analysis of test failures, perform root cause analysis on non-compliance issues, and maintain all detailed test reports, compliance logs, and documentation required for certification.\nProcess and Toolchain Development \nBuild and evolve Waabi's mechanical V&V methodology, lab capability, and toolchain.\nAssess a new OEM's DV/PV process quickly and advise leadership on level of effort, complexity, and cost relative to Waabi's.\n \nQualifications:\n5 + years in an Mechanical V&V role, preferably automotive or heavy vehicle.\nMinimum of a Bachelor’s of Science in Engineering\nUnderstand all aspects of an automotive DV/PV process.\nDeep understanding of the automotive PPAP process.\nWorking knowledge with automotive APQP.\nExperience working directly with Automotive OEMs, Tier 1 & 2 suppliers.\n“On your feet” knowledge of International automotive environmental and safety standards, including ASTM B117, SAE J1455, or MIL-STD-810.\nWorking knowledge of AEC standards.\nAbility to adjust V&V Process to support various OEMs.\nDirect experience characterizing vehicles to set environmental requirements for new projects or OEMs.\nBonus/nice to have:\nExperience working in an Agile/Scrum environment.\nTechnical experience in developing self-driving vehicles.\nExperience with the NRTL (UL) and CE certification.\nExperience with SolidWorks, ANSYS, Polarion.\nExperience designing and building HIL test benches and automating regression testing.\nAccelerated life testing, HALT/HASS, and Weibull or reliability demonstration analysis.\nAbility to perform risk analysis and prevention, FMEA, FTA, RCA, FEA.\nExperience with CANbus, Python, Shell, Unix OS.\n","hostedUrl":"https://jobs.lever.co/waabi/7832d827-8719-43de-aa74-06a36dc84867","applyUrl":"https://jobs.lever.co/waabi/7832d827-8719-43de-aa74-06a36dc84867/apply"},{"additionalPlain":"The US yearly hourly range for this role is: $31 - $43 /hour USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The hourly base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\nWaabi provides a competitive benefits package that includes:\nCompetitive compensation and equity awards.\nHealth and wellness benefits encompassing Medical, Dental, and Vision coverage \nPaid parental, medical and family care leave.\nGenerous PTO Policy\nRetirement savings plans including 401(k) or RRSP options.\nHealth savings account contribution options.\nDaily drinks, snacks, and catered meals (when in office).\nRegularly scheduled team building activities and social events both on-site, off-site & virtually.\nAdditional benefits are offered and tailored to specific country locations. \nAs we grow, this list continues to evolve! \n \nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!\n \nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.\n","additional":"The US yearly hourly range for this role is: $31 - $43 /hour USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The hourly base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
\nWaabi provides a competitive benefits package that includes:
\n\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Operations","location":"Dallas, TX","team":"Road Operations","allLocations":["Dallas, TX"]},"createdAt":1737681437386,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWaabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and day shift is the core of that operation.\nVehicle Operators are the professional drivers behind the program. You will manually drive Class 8 combination vehicles, supervise the Waabi Driver on public roadways and test tracks, and provide the experienced judgment that keeps our testing and commercial operations safe. On day shift you run the highest mission volume we operate, with the full operations and engineering team around you. The Waabi Driver improves because experienced operators tell us precisely what they saw and why they took control; that feedback loop is the core of the job.\n \nYou will…\nManually drive Class 8 commercial vehicles and passenger vehicles safely and compliantly, including mapping and shadow missions, yard moves, transports, drayage, scouting, and repositioning.\nOperate Class 8 autonomous vehicles on public roadways and test tracks in supervised autonomy, maintaining readiness to assume manual control at any moment.\nApply Waabi’s Takeover Guidance and Policy Takeovers, maintaining floating-hands or slip-grip technique, active mirror scanning, and priority callouts for upcoming intentions and actors.\nDisengage when a safety, stranding, or reputational risk requires it, and provide the specific situational detail our engineers need. Disengagement counts are not individual performance metrics; failing to disengage when required is.\nComplete pre-trip inspections and post-trip Driver Vehicle Inspection Reports in Fleetio with clear, complete photo documentation, and support the Enhanced Inspection Program where trained and certified.\nMaintain accurate Motive ELD records throughout the shift and manage your clock proactively so loads can be completed compliantly.\nExit the cab to visually assess surroundings whenever conditions warrant, including tight maneuvers and after more than two pull-ups, and use standard hand signals and a spotter for backing.\nReview and follow platform-specific SOPs and startup procedures for each truck platform you are assigned to, including power-on sequencing and overnight charging.\nOperate customer loads to committed gate, departure, and arrival times, verify tractor and trailer condition and weight, follow the fueling, weighing, and inspection sequence, and communicate delays as early as possible.\nProvide clear, specific feedback about vehicle performance and capability, and support your Fleet Specialist in producing high-quality annotations.\nSupport other crews, the fleet technicians, and facilities when out of the truck, including 5-S standards, readiness work, and SOP documentation.\nMaintain and improve Waabi’s culture of excellence in safety, and speak up immediately when something is not right.\n \nQualifications:\nClass A Commercial Driver’s License and a valid DOT medical certification.\nMinimum of three years of recent commercial driving experience with combination vehicles.\nExemplary motor vehicle record, background check, and DOT drug and alcohol screening results, reviewed on an individualized basis.\nDemonstrated ability to use an electronic logging device and to manage Hours of Service compliance independently.\nAbility to work in a fast-paced, frequently changing environment where priorities and schedules move.\nAble and willing to work the day shift described below, including flexible start and end times and extended, potentially consecutive shifts of up to approximately 14 hours (following DOT regulations), plus weekend, holiday, and overnight travel.\nOpen-minded, collaborative team player with a willingness to help others and to work closely with a Fleet Specialist and with operations, engineering, and other cross-functional partners.\nAble to give clear, specific verbal and written feedback about vehicle behavior.\nBasic computer skills and the ability to learn Waabi’s mission, fleet, and inspection tooling quickly.\nPassionate about self-driving technology, solving hard problems, and creating innovative solutions.\nPrevious autonomous vehicle, robotics, or vehicle testing experience, substantial prior long-haul or team-driving experience, and experience troubleshooting computer systems are all a strong plus.\nEnhanced Pre-trip Inspector (EIP) certification and a million-mile safe driving record or equivalent recognition are a plus.\n \nDay Shift Schedule and Flexibility:\nBase shift: 7:00 AM – 5:00 PM CT, based at Waabi’s Lancaster, TX terminal.\nStart and end times may shift. The shift may begin earlier or end later based on commercial and customer demand and when loads need to move. Day shift crews are expected to be flexible.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
Waabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and day shift is the core of that operation.
\n
Vehicle Operators are the professional drivers behind the program. You will manually drive Class 8 combination vehicles, supervise the Waabi Driver on public roadways and test tracks, and provide the experienced judgment that keeps our testing and commercial operations safe. On day shift you run the highest mission volume we operate, with the full operations and engineering team around you. The Waabi Driver improves because experienced operators tell us precisely what they saw and why they took control; that feedback loop is the core of the job.
\n
\n
You will…
\n
\n- Manually drive Class 8 commercial vehicles and passenger vehicles safely and compliantly, including mapping and shadow missions, yard moves, transports, drayage, scouting, and repositioning.
\n- Operate Class 8 autonomous vehicles on public roadways and test tracks in supervised autonomy, maintaining readiness to assume manual control at any moment.
\n- Apply Waabi’s Takeover Guidance and Policy Takeovers, maintaining floating-hands or slip-grip technique, active mirror scanning, and priority callouts for upcoming intentions and actors.
\n- Disengage when a safety, stranding, or reputational risk requires it, and provide the specific situational detail our engineers need. Disengagement counts are not individual performance metrics; failing to disengage when required is.
\n- Complete pre-trip inspections and post-trip Driver Vehicle Inspection Reports in Fleetio with clear, complete photo documentation, and support the Enhanced Inspection Program where trained and certified.
\n- Maintain accurate Motive ELD records throughout the shift and manage your clock proactively so loads can be completed compliantly.
\n- Exit the cab to visually assess surroundings whenever conditions warrant, including tight maneuvers and after more than two pull-ups, and use standard hand signals and a spotter for backing.
\n- Review and follow platform-specific SOPs and startup procedures for each truck platform you are assigned to, including power-on sequencing and overnight charging.
\n- Operate customer loads to committed gate, departure, and arrival times, verify tractor and trailer condition and weight, follow the fueling, weighing, and inspection sequence, and communicate delays as early as possible.
\n- Provide clear, specific feedback about vehicle performance and capability, and support your Fleet Specialist in producing high-quality annotations.
\n- Support other crews, the fleet technicians, and facilities when out of the truck, including 5-S standards, readiness work, and SOP documentation.
\n- Maintain and improve Waabi’s culture of excellence in safety, and speak up immediately when something is not right.
\n
\n
\n
Qualifications:
\n
\n- Class A Commercial Driver’s License and a valid DOT medical certification.
\n- Minimum of three years of recent commercial driving experience with combination vehicles.
\n- Exemplary motor vehicle record, background check, and DOT drug and alcohol screening results, reviewed on an individualized basis.
\n- Demonstrated ability to use an electronic logging device and to manage Hours of Service compliance independently.
\n- Ability to work in a fast-paced, frequently changing environment where priorities and schedules move.
\n- Able and willing to work the day shift described below, including flexible start and end times and extended, potentially consecutive shifts of up to approximately 14 hours (following DOT regulations), plus weekend, holiday, and overnight travel.
\n- Open-minded, collaborative team player with a willingness to help others and to work closely with a Fleet Specialist and with operations, engineering, and other cross-functional partners.
\n- Able to give clear, specific verbal and written feedback about vehicle behavior.
\n- Basic computer skills and the ability to learn Waabi’s mission, fleet, and inspection tooling quickly.
\n- Passionate about self-driving technology, solving hard problems, and creating innovative solutions.
\n- Previous autonomous vehicle, robotics, or vehicle testing experience, substantial prior long-haul or team-driving experience, and experience troubleshooting computer systems are all a strong plus.
\n- Enhanced Pre-trip Inspector (EIP) certification and a million-mile safe driving record or equivalent recognition are a plus.
\n
\n
\n
Day Shift Schedule and Flexibility:
Base shift: 7:00 AM – 5:00 PM CT, based at Waabi’s Lancaster, TX terminal.
Start and end times may shift. The shift may begin earlier or end later based on commercial and customer demand and when loads need to move. Day shift crews are expected to be flexible.
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
Waabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and day shift is the core of that operation.
\n
Vehicle Operators are the professional drivers behind the program. You will manually drive Class 8 combination vehicles, supervise the Waabi Driver on public roadways and test tracks, and provide the experienced judgment that keeps our testing and commercial operations safe. On day shift you run the highest mission volume we operate, with the full operations and engineering team around you. The Waabi Driver improves because experienced operators tell us precisely what they saw and why they took control; that feedback loop is the core of the job.
\n
\n
You will…
\n
\n- Manually drive Class 8 commercial vehicles and passenger vehicles safely and compliantly, including mapping and shadow missions, yard moves, transports, drayage, scouting, and repositioning.
\n- Operate Class 8 autonomous vehicles on public roadways and test tracks in supervised autonomy, maintaining readiness to assume manual control at any moment.
\n- Apply Waabi’s Takeover Guidance and Policy Takeovers, maintaining floating-hands or slip-grip technique, active mirror scanning, and priority callouts for upcoming intentions and actors.
\n- Disengage when a safety, stranding, or reputational risk requires it, and provide the specific situational detail our engineers need. Disengagement counts are not individual performance metrics; failing to disengage when required is.
\n- Complete pre-trip inspections and post-trip Driver Vehicle Inspection Reports in Fleetio with clear, complete photo documentation, and support the Enhanced Inspection Program where trained and certified.
\n- Maintain accurate Motive ELD records throughout the shift and manage your clock proactively so loads can be completed compliantly.
\n- Exit the cab to visually assess surroundings whenever conditions warrant, including tight maneuvers and after more than two pull-ups, and use standard hand signals and a spotter for backing.
\n- Review and follow platform-specific SOPs and startup procedures for each truck platform you are assigned to, including power-on sequencing and overnight charging.
\n- Operate customer loads to committed gate, departure, and arrival times, verify tractor and trailer condition and weight, follow the fueling, weighing, and inspection sequence, and communicate delays as early as possible.
\n- Provide clear, specific feedback about vehicle performance and capability, and support your Fleet Specialist in producing high-quality annotations.
\n- Support other crews, the fleet technicians, and facilities when out of the truck, including 5-S standards, readiness work, and SOP documentation.
\n- Maintain and improve Waabi’s culture of excellence in safety, and speak up immediately when something is not right.
\n
\n
\n
Qualifications:
\n
\n- Class A Commercial Driver’s License and a valid DOT medical certification.
\n- Minimum of three years of recent commercial driving experience with combination vehicles.
\n- Exemplary motor vehicle record, background check, and DOT drug and alcohol screening results, reviewed on an individualized basis.
\n- Demonstrated ability to use an electronic logging device and to manage Hours of Service compliance independently.
\n- Ability to work in a fast-paced, frequently changing environment where priorities and schedules move.
\n- Able and willing to work the day shift described below, including flexible start and end times and extended, potentially consecutive shifts of up to approximately 14 hours (following DOT regulations), plus weekend, holiday, and overnight travel.
\n- Open-minded, collaborative team player with a willingness to help others and to work closely with a Fleet Specialist and with operations, engineering, and other cross-functional partners.
\n- Able to give clear, specific verbal and written feedback about vehicle behavior.
\n- Basic computer skills and the ability to learn Waabi’s mission, fleet, and inspection tooling quickly.
\n- Passionate about self-driving technology, solving hard problems, and creating innovative solutions.
\n- Previous autonomous vehicle, robotics, or vehicle testing experience, substantial prior long-haul or team-driving experience, and experience troubleshooting computer systems are all a strong plus.
\n- Enhanced Pre-trip Inspector (EIP) certification and a million-mile safe driving record or equivalent recognition are a plus.
\n
\n
\n
Day Shift Schedule and Flexibility:
Base shift: 7:00 AM – 5:00 PM CT, based at Waabi’s Lancaster, TX terminal.
Start and end times may shift. The shift may begin earlier or end later based on commercial and customer demand and when loads need to move. Day shift crews are expected to be flexible.
\n
Perks/Benefits:
\n\n
Waabi provides a competitive benefits package that includes:
\n
\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy.
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Operations","location":"Dallas, TX","team":"Road Operations","allLocations":["Dallas, TX"]},"createdAt":1787584413878,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWaabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and we are standing up a night shift to meet our commercial customers where they are.\nVehicle Operators are the professional drivers behind the program. You will manually drive Class 8 combination vehicles, supervise the Waabi Driver on public roadways and test tracks, and provide the experienced judgment that keeps our testing and commercial operations safe. The Waabi Driver improves because experienced operators tell us precisely what they saw and why they took control; that feedback loop is the core of the job, and at night it rests with you and your Fleet Specialist.\nYou will…\nManually drive Class 8 commercial vehicles and passenger vehicles safely and compliantly, including mapping and shadow missions, yard moves, transports, drayage, scouting, and repositioning.\nOperate Class 8 autonomous vehicles on public roadways and test tracks in supervised autonomy, maintaining readiness to assume manual control at any moment.\nApply Waabi’s Takeover Guidance and Policy Takeovers, maintaining floating-hands or slip-grip technique, active mirror scanning, and priority callouts for upcoming intentions and actors.\nDisengage when a safety, stranding, or reputational risk requires it, and provide the specific situational detail our engineers need. Disengagement counts are not individual performance metrics; failing to disengage when required is.\nComplete pre-trip inspections and post-trip Driver Vehicle Inspection Reports in Fleetio with clear, complete photo documentation, and support the Enhanced Inspection Program where trained and certified.\nMaintain accurate Motive ELD records throughout the shift and manage your clock proactively across an overnight window so loads can be completed compliantly.\nExit the cab to visually assess surroundings whenever conditions warrant, including tight maneuvers and after more than two pull-ups, and use standard hand signals and a spotter for backing.\nReview and follow platform-specific SOPs and startup procedures for each truck platform you are assigned to, including power-on sequencing and overnight charging.\nOperate customer loads to committed gate, departure, and arrival times, verify tractor and trailer condition and weight, follow the fueling, weighing, and inspection sequence, and communicate delays as early as possible.\nProvide clear, specific feedback about vehicle performance and capability, and support your Fleet Specialist in producing high-quality annotations.\nSupport other crews, the fleet technicians, and facilities when out of the truck, including 5-S standards, readiness work, and SOP documentation.\nMaintain and improve Waabi’s culture of excellence in safety, and speak up immediately when something is not right.\nQualifications:\nClass A Commercial Driver’s License and a valid DOT medical certification.\nMinimum of three years of recent commercial driving experience with combination vehicles.\nExemplary motor vehicle record, background check, and DOT drug and alcohol screening results, reviewed on an individualized basis.\nDemonstrated ability to use an electronic logging device and to manage Hours of Service compliance independently.\nAbility to work in a fast-paced, frequently changing environment where priorities and schedules move.\nAble and willing to work overnight, late night, weekend, and holiday shifts, including extended, potentially consecutive shifts of up to approximately 14 hours (following DOT regulations), and overnight travel.\nOpen-minded, collaborative team player with a willingness to help others and to work closely with a Fleet Specialist and with operations, engineering, and other cross-functional partners.\nAble to give clear, specific verbal and written feedback about vehicle behavior.\nBasic computer skills and the ability to learn Waabi’s mission, fleet, and inspection tooling quickly.\nPassionate about self-driving technology, solving hard problems, and creating innovative solutions.\nPrevious autonomous vehicle, robotics, or vehicle testing experience, substantial prior overnight or team-driving experience, and experience troubleshooting computer systems are all a strong plus.\nEnhanced Pre-trip Inspector (EIP) certification and a million-mile safe driving record or equivalent recognition are a plus.\n \nNight Shift Schedule and Flexibility:\nBase shift: 11:00 PM – 7:30 AM CT, based at Waabi’s Lancaster, TX terminal.\nStart and end times may shift. The shift may begin and end a few hours later and, less commonly, a few hours earlier, based on commercial and customer demand and when loads need to move. Night shift crews are expected to be as flexible as day shift crews.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
Waabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and we are standing up a night shift to meet our commercial customers where they are.
\n
Vehicle Operators are the professional drivers behind the program. You will manually drive Class 8 combination vehicles, supervise the Waabi Driver on public roadways and test tracks, and provide the experienced judgment that keeps our testing and commercial operations safe. The Waabi Driver improves because experienced operators tell us precisely what they saw and why they took control; that feedback loop is the core of the job, and at night it rests with you and your Fleet Specialist.
\n
You will…
\n
\n- Manually drive Class 8 commercial vehicles and passenger vehicles safely and compliantly, including mapping and shadow missions, yard moves, transports, drayage, scouting, and repositioning.
\n- Operate Class 8 autonomous vehicles on public roadways and test tracks in supervised autonomy, maintaining readiness to assume manual control at any moment.
\n- Apply Waabi’s Takeover Guidance and Policy Takeovers, maintaining floating-hands or slip-grip technique, active mirror scanning, and priority callouts for upcoming intentions and actors.
\n- Disengage when a safety, stranding, or reputational risk requires it, and provide the specific situational detail our engineers need. Disengagement counts are not individual performance metrics; failing to disengage when required is.
\n- Complete pre-trip inspections and post-trip Driver Vehicle Inspection Reports in Fleetio with clear, complete photo documentation, and support the Enhanced Inspection Program where trained and certified.
\n- Maintain accurate Motive ELD records throughout the shift and manage your clock proactively across an overnight window so loads can be completed compliantly.
\n- Exit the cab to visually assess surroundings whenever conditions warrant, including tight maneuvers and after more than two pull-ups, and use standard hand signals and a spotter for backing.
\n- Review and follow platform-specific SOPs and startup procedures for each truck platform you are assigned to, including power-on sequencing and overnight charging.
\n- Operate customer loads to committed gate, departure, and arrival times, verify tractor and trailer condition and weight, follow the fueling, weighing, and inspection sequence, and communicate delays as early as possible.
\n- Provide clear, specific feedback about vehicle performance and capability, and support your Fleet Specialist in producing high-quality annotations.
\n- Support other crews, the fleet technicians, and facilities when out of the truck, including 5-S standards, readiness work, and SOP documentation.
\n- Maintain and improve Waabi’s culture of excellence in safety, and speak up immediately when something is not right.
\n
\n
Qualifications:
\n
\n- Class A Commercial Driver’s License and a valid DOT medical certification.
\n- Minimum of three years of recent commercial driving experience with combination vehicles.
\n- Exemplary motor vehicle record, background check, and DOT drug and alcohol screening results, reviewed on an individualized basis.
\n- Demonstrated ability to use an electronic logging device and to manage Hours of Service compliance independently.
\n- Ability to work in a fast-paced, frequently changing environment where priorities and schedules move.
\n- Able and willing to work overnight, late night, weekend, and holiday shifts, including extended, potentially consecutive shifts of up to approximately 14 hours (following DOT regulations), and overnight travel.
\n- Open-minded, collaborative team player with a willingness to help others and to work closely with a Fleet Specialist and with operations, engineering, and other cross-functional partners.
\n- Able to give clear, specific verbal and written feedback about vehicle behavior.
\n- Basic computer skills and the ability to learn Waabi’s mission, fleet, and inspection tooling quickly.
\n- Passionate about self-driving technology, solving hard problems, and creating innovative solutions.
\n- Previous autonomous vehicle, robotics, or vehicle testing experience, substantial prior overnight or team-driving experience, and experience troubleshooting computer systems are all a strong plus.
\n- Enhanced Pre-trip Inspector (EIP) certification and a million-mile safe driving record or equivalent recognition are a plus.
\n
\n
\n
Night Shift Schedule and Flexibility:
Base shift: 11:00 PM – 7:30 AM CT, based at Waabi’s Lancaster, TX terminal.
Start and end times may shift. The shift may begin and end a few hours later and, less commonly, a few hours earlier, based on commercial and customer demand and when loads need to move. Night shift crews are expected to be as flexible as day shift crews.
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
Waabi is building generative AI for the physical world, starting with autonomous trucks. Our Texas road operations run both R&D testing and revenue freight out of our Lancaster terminal, and we are standing up a night shift to meet our commercial customers where they are.
\n
Vehicle Operators are the professional drivers behind the program. You will manually drive Class 8 combination vehicles, supervise the Waabi Driver on public roadways and test tracks, and provide the experienced judgment that keeps our testing and commercial operations safe. The Waabi Driver improves because experienced operators tell us precisely what they saw and why they took control; that feedback loop is the core of the job, and at night it rests with you and your Fleet Specialist.
\n
You will…
\n
\n- Manually drive Class 8 commercial vehicles and passenger vehicles safely and compliantly, including mapping and shadow missions, yard moves, transports, drayage, scouting, and repositioning.
\n- Operate Class 8 autonomous vehicles on public roadways and test tracks in supervised autonomy, maintaining readiness to assume manual control at any moment.
\n- Apply Waabi’s Takeover Guidance and Policy Takeovers, maintaining floating-hands or slip-grip technique, active mirror scanning, and priority callouts for upcoming intentions and actors.
\n- Disengage when a safety, stranding, or reputational risk requires it, and provide the specific situational detail our engineers need. Disengagement counts are not individual performance metrics; failing to disengage when required is.
\n- Complete pre-trip inspections and post-trip Driver Vehicle Inspection Reports in Fleetio with clear, complete photo documentation, and support the Enhanced Inspection Program where trained and certified.
\n- Maintain accurate Motive ELD records throughout the shift and manage your clock proactively across an overnight window so loads can be completed compliantly.
\n- Exit the cab to visually assess surroundings whenever conditions warrant, including tight maneuvers and after more than two pull-ups, and use standard hand signals and a spotter for backing.
\n- Review and follow platform-specific SOPs and startup procedures for each truck platform you are assigned to, including power-on sequencing and overnight charging.
\n- Operate customer loads to committed gate, departure, and arrival times, verify tractor and trailer condition and weight, follow the fueling, weighing, and inspection sequence, and communicate delays as early as possible.
\n- Provide clear, specific feedback about vehicle performance and capability, and support your Fleet Specialist in producing high-quality annotations.
\n- Support other crews, the fleet technicians, and facilities when out of the truck, including 5-S standards, readiness work, and SOP documentation.
\n- Maintain and improve Waabi’s culture of excellence in safety, and speak up immediately when something is not right.
\n
\n
Qualifications:
\n
\n- Class A Commercial Driver’s License and a valid DOT medical certification.
\n- Minimum of three years of recent commercial driving experience with combination vehicles.
\n- Exemplary motor vehicle record, background check, and DOT drug and alcohol screening results, reviewed on an individualized basis.
\n- Demonstrated ability to use an electronic logging device and to manage Hours of Service compliance independently.
\n- Ability to work in a fast-paced, frequently changing environment where priorities and schedules move.
\n- Able and willing to work overnight, late night, weekend, and holiday shifts, including extended, potentially consecutive shifts of up to approximately 14 hours (following DOT regulations), and overnight travel.
\n- Open-minded, collaborative team player with a willingness to help others and to work closely with a Fleet Specialist and with operations, engineering, and other cross-functional partners.
\n- Able to give clear, specific verbal and written feedback about vehicle behavior.
\n- Basic computer skills and the ability to learn Waabi’s mission, fleet, and inspection tooling quickly.
\n- Passionate about self-driving technology, solving hard problems, and creating innovative solutions.
\n- Previous autonomous vehicle, robotics, or vehicle testing experience, substantial prior overnight or team-driving experience, and experience troubleshooting computer systems are all a strong plus.
\n- Enhanced Pre-trip Inspector (EIP) certification and a million-mile safe driving record or equivalent recognition are a plus.
\n
\n
\n
Night Shift Schedule and Flexibility:
Base shift: 11:00 PM – 7:30 AM CT, based at Waabi’s Lancaster, TX terminal.
Start and end times may shift. The shift may begin and end a few hours later and, less commonly, a few hours earlier, based on commercial and customer demand and when loads need to move. Night shift crews are expected to be as flexible as day shift crews.
\n
Perks/Benefits:
\n\n
Waabi provides a competitive benefits package that includes:
\n
\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy.
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Operations","location":"Dallas, TX","team":"Road Operations","allLocations":["Dallas, TX","Pittsburgh, PA","San Francisco, CA","Remote US"]},"createdAt":1774644395179,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will…\nQuickly identify and diagnose issues that arise during vehicle testing and on-road operations.\nUtilize deep technical knowledge of both hardware and software to address failures and anomalies.\nImplement documented temporary fixes or workarounds to keep vehicles operational while permanent solutions are developed.\nEnsure that every applied workaround maintains safety and performance standards.\nRigorously log, track, and document all vehicle issues using robust diagnostic and issue-tracking systems.\nProvide detailed reports that include reproduction steps, diagnostic data, and recommended actions.\nCollaborate with cross-functional teams—spanning software, hardware, and operations—to conduct thorough root cause analyses on recurring issues.\nTranslate technical data and observations into actionable insights for long-term system improvements.\nRecommend and implement process improvements and preventive measures to enhance overall vehicle reliability.\nParticipate in both pre-test and post-test evaluations, ensuring vehicles are test-ready and that any issues are promptly addressed.\nServe as the technical point of contact during vehicle testing\nIdentify opportunities to streamline troubleshooting protocols, automate diagnostic routines, and improve data capture methods to boost operational efficiency.\nExperience with continuous improvement (e.g., Lean, Six Sigma) and Root Cause Analysis (RCA) methodologies. Experience with established methodologies (e.g., 5 Whys, Fishbone diagrams, Fault Tree Analysis, or FMEA) to support the responsibility of conducting thorough root cause analyses on recurring issues.\nFunctional Safety or Reliability Standards Experience in order to maintain vehicle uptime and safety. Experience maintaining and managing automotive safety standards (e.g., ISO 26262, UL 4600), hardware reliability standards, and/or formal quality management systems would be beneficial.\nTravel required 10%\nQualifications:\n5+ years of hands-on experience in automotive, robotics, aerospace, or a related industry with a focus on troubleshooting complex vehicle systems.\nProficient with Linux-based systems and command-line diagnostics.\nSolid understanding of computer networking fundamentals.\nExperienced in CAN bus diagnostics and the use of automotive diagnostic tools.\nStrong data analysis capabilities with familiarity in using spreadsheets or scripting languages\nExcellent written and verbal communication skills, with a proven ability to document technical issues clearly and work collaboratively with multidisciplinary teams.\nBachelor’s degree in Mechanical, Electrical, or Computer Engineering (or related field) or equivalent hands-on experience.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
You will…
\n
\n- Quickly identify and diagnose issues that arise during vehicle testing and on-road operations.
\n- Utilize deep technical knowledge of both hardware and software to address failures and anomalies.
\n- Implement documented temporary fixes or workarounds to keep vehicles operational while permanent solutions are developed.
\n- Ensure that every applied workaround maintains safety and performance standards.
\n- Rigorously log, track, and document all vehicle issues using robust diagnostic and issue-tracking systems.
\n- Provide detailed reports that include reproduction steps, diagnostic data, and recommended actions.
\n- Collaborate with cross-functional teams—spanning software, hardware, and operations—to conduct thorough root cause analyses on recurring issues.
\n- Translate technical data and observations into actionable insights for long-term system improvements.
\n- Recommend and implement process improvements and preventive measures to enhance overall vehicle reliability.
\n- Participate in both pre-test and post-test evaluations, ensuring vehicles are test-ready and that any issues are promptly addressed.
\n- Serve as the technical point of contact during vehicle testing
\n- Identify opportunities to streamline troubleshooting protocols, automate diagnostic routines, and improve data capture methods to boost operational efficiency.
\n- Experience with continuous improvement (e.g., Lean, Six Sigma) and Root Cause Analysis (RCA) methodologies. Experience with established methodologies (e.g., 5 Whys, Fishbone diagrams, Fault Tree Analysis, or FMEA) to support the responsibility of conducting thorough root cause analyses on recurring issues.
\n- Functional Safety or Reliability Standards Experience in order to maintain vehicle uptime and safety. Experience maintaining and managing automotive safety standards (e.g., ISO 26262, UL 4600), hardware reliability standards, and/or formal quality management systems would be beneficial.
\n- Travel required 10%
\n
\n
Qualifications:
\n
\n- 5+ years of hands-on experience in automotive, robotics, aerospace, or a related industry with a focus on troubleshooting complex vehicle systems.
\n- Proficient with Linux-based systems and command-line diagnostics.
\n- Solid understanding of computer networking fundamentals.
\n- Experienced in CAN bus diagnostics and the use of automotive diagnostic tools.
\n- Strong data analysis capabilities with familiarity in using spreadsheets or scripting languages
\n- Excellent written and verbal communication skills, with a proven ability to document technical issues clearly and work collaboratively with multidisciplinary teams.
\n- Bachelor’s degree in Mechanical, Electrical, or Computer Engineering (or related field) or equivalent hands-on experience.
\n
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
You will…
\n
\n- Quickly identify and diagnose issues that arise during vehicle testing and on-road operations.
\n- Utilize deep technical knowledge of both hardware and software to address failures and anomalies.
\n- Implement documented temporary fixes or workarounds to keep vehicles operational while permanent solutions are developed.
\n- Ensure that every applied workaround maintains safety and performance standards.
\n- Rigorously log, track, and document all vehicle issues using robust diagnostic and issue-tracking systems.
\n- Provide detailed reports that include reproduction steps, diagnostic data, and recommended actions.
\n- Collaborate with cross-functional teams—spanning software, hardware, and operations—to conduct thorough root cause analyses on recurring issues.
\n- Translate technical data and observations into actionable insights for long-term system improvements.
\n- Recommend and implement process improvements and preventive measures to enhance overall vehicle reliability.
\n- Participate in both pre-test and post-test evaluations, ensuring vehicles are test-ready and that any issues are promptly addressed.
\n- Serve as the technical point of contact during vehicle testing
\n- Identify opportunities to streamline troubleshooting protocols, automate diagnostic routines, and improve data capture methods to boost operational efficiency.
\n- Experience with continuous improvement (e.g., Lean, Six Sigma) and Root Cause Analysis (RCA) methodologies. Experience with established methodologies (e.g., 5 Whys, Fishbone diagrams, Fault Tree Analysis, or FMEA) to support the responsibility of conducting thorough root cause analyses on recurring issues.
\n- Functional Safety or Reliability Standards Experience in order to maintain vehicle uptime and safety. Experience maintaining and managing automotive safety standards (e.g., ISO 26262, UL 4600), hardware reliability standards, and/or formal quality management systems would be beneficial.
\n- Travel required 10%
\n
\n
Qualifications:
\n
\n- 5+ years of hands-on experience in automotive, robotics, aerospace, or a related industry with a focus on troubleshooting complex vehicle systems.
\n- Proficient with Linux-based systems and command-line diagnostics.
\n- Solid understanding of computer networking fundamentals.
\n- Experienced in CAN bus diagnostics and the use of automotive diagnostic tools.
\n- Strong data analysis capabilities with familiarity in using spreadsheets or scripting languages
\n- Excellent written and verbal communication skills, with a proven ability to document technical issues clearly and work collaboratively with multidisciplinary teams.
\n- Bachelor’s degree in Mechanical, Electrical, or Computer Engineering (or related field) or equivalent hands-on experience.
\n
\n
Perks/Benefits:
\n\n
Waabi provides a competitive benefits package that includes:
\n
\n- Competitive compensation and equity awards.
\n- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
\n- Paid parental, medical and family care leave.
\n- Generous PTO Policy.
\n- Retirement savings plans including 401(k) or RRSP options.
\n- Health savings account contribution options.
\n- Daily drinks, snacks, and catered meals (when in office).
\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
\n- Additional benefits are offered and tailored to specific country locations.
\n- As we grow, this list continues to evolve!
\n
\n
\nWaabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
\n
\nWaabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
","categories":{"commitment":"Full-time","department":"Operations","location":"Dallas, TX","team":"Road Operations","allLocations":["Dallas, TX","Pittsburgh, PA","San Francisco, CA","Remote US"]},"createdAt":1788896874245,"descriptionPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will…\nQuickly identify and diagnose issues that arise during vehicle testing and on-road operations.\nUtilize deep technical knowledge of both hardware and software to address failures and anomalies.\nImplement documented temporary fixes or workarounds to keep vehicles operational while permanent solutions are developed.\nEnsure that every applied workaround maintains safety and performance standards.\nRigorously log, track, and document all vehicle issues using robust diagnostic and issue-tracking systems.\nProvide detailed reports that include reproduction steps, diagnostic data, and recommended actions.\nCollaborate with cross-functional teams—spanning software, hardware, and operations—to conduct thorough root cause analyses on recurring issues.\nTranslate technical data and observations into actionable insights for long-term system improvements.\nRecommend and implement process improvements and preventive measures to enhance overall vehicle reliability.\nParticipate in both pre-test and post-test evaluations, ensuring vehicles are test-ready and that any issues are promptly addressed.\nServe as the technical point of contact during vehicle testing\nIdentify opportunities to streamline troubleshooting protocols, automate diagnostic routines, and improve data capture methods to boost operational efficiency.\nExperience with continuous improvement (e.g., Lean, Six Sigma) and Root Cause Analysis (RCA) methodologies. Experience with established methodologies (e.g., 5 Whys, Fishbone diagrams, Fault Tree Analysis, or FMEA) to support the responsibility of conducting thorough root cause analyses on recurring issues.\nFunctional Safety or Reliability Standards Experience in order to maintain vehicle uptime and safety. Experience maintaining and managing automotive safety standards (e.g., ISO 26262, UL 4600), hardware reliability standards, and/or formal quality management systems would be beneficial.\nTravel required 10%\nQualifications:\n5+ years of hands-on experience in automotive, robotics, aerospace, or a related industry with a focus on troubleshooting complex vehicle systems.\nProficient with Linux-based systems and command-line diagnostics.\nSolid understanding of computer networking fundamentals.\nExperienced in CAN bus diagnostics and the use of automotive diagnostic tools.\nStrong data analysis capabilities with familiarity in using spreadsheets or scripting languages\nExcellent written and verbal communication skills, with a proven ability to document technical issues clearly and work collaboratively with multidisciplinary teams.\nBachelor’s degree in Mechanical, Electrical, or Computer Engineering (or related field) or equivalent hands-on experience.\n","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
\n
You will…
\n
\n- Quickly identify and diagnose issues that arise during vehicle testing and on-road operations.
\n- Utilize deep technical knowledge of both hardware and software to address failures and anomalies.
\n- Implement documented temporary fixes or workarounds to keep vehicles operational while permanent solutions are developed.
\n- Ensure that every applied workaround maintains safety and performance standards.
\n- Rigorously log, track, and document all vehicle issues using robust diagnostic and issue-tracking systems.
\n- Provide detailed reports that include reproduction steps, diagnostic data, and recommended actions.
\n- Collaborate with cross-functional teams—spanning software, hardware, and operations—to conduct thorough root cause analyses on recurring issues.
\n- Translate technical data and observations into actionable insights for long-term system improvements.
\n- Recommend and implement process improvements and preventive measures to enhance overall vehicle reliability.
\n- Participate in both pre-test and post-test evaluations, ensuring vehicles are test-ready and that any issues are promptly addressed.
\n- Serve as the technical point of contact during vehicle testing
\n- Identify opportunities to streamline troubleshooting protocols, automate diagnostic routines, and improve data capture methods to boost operational efficiency.
\n- Experience with continuous improvement (e.g., Lean, Six Sigma) and Root Cause Analysis (RCA) methodologies. Experience with established methodologies (e.g., 5 Whys, Fishbone diagrams, Fault Tree Analysis, or FMEA) to support the responsibility of conducting thorough root cause analyses on recurring issues.
\n- Functional Safety or Reliability Standards Experience in order to maintain vehicle uptime and safety. Experience maintaining and managing automotive safety standards (e.g., ISO 26262, UL 4600), hardware reliability standards, and/or formal quality management systems would be beneficial.
\n- Travel required 10%
\n
\n
Qualifications:
\n
\n- 5+ years of hands-on experience in automotive, robotics, aerospace, or a related industry with a focus on troubleshooting complex vehicle systems.
\n- Proficient with Linux-based systems and command-line diagnostics.
\n- Solid understanding of computer networking fundamentals.
\n- Experienced in CAN bus diagnostics and the use of automotive diagnostic tools.
\n- Strong data analysis capabilities with familiarity in using spreadsheets or scripting languages
\n- Excellent written and verbal communication skills, with a proven ability to document technical issues clearly and work collaboratively with multidisciplinary teams.
\n- Bachelor’s degree in Mechanical, Electrical, or Computer Engineering (or related field) or equivalent hands-on experience.
\n
\n
Shift Hours:
\n
\n- Current shift hours at 11pm to 7:30am and subject to change to support business needs.
\n
\n
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
\n
\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai ","openingPlain":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n \nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n","descriptionBody":"\n
You will…
\n
\n- Quickly identify and diagnose issues that arise during vehicle testing and on-road operations.
\n- Utilize deep technical knowledge of both hardware and software to address failures and anomalies.
\n- Implement documented temporary fixes or workarounds to keep vehicles operational while permanent solutions are developed.
\n- Ensure that every applied workaround maintains safety and performance standards.
\n- Rigorously log, track, and document all vehicle issues using robust diagnostic and issue-tracking systems.
\n- Provide detailed reports that include reproduction steps, diagnostic data, and recommended actions.
\n- Collaborate with cross-functional teams—spanning software, hardware, and operations—to conduct thorough root cause analyses on recurring issues.
\n- Translate technical data and observations into actionable insights for long-term system improvements.
\n- Recommend and implement process improvements and preventive measures to enhance overall vehicle reliability.
\n- Participate in both pre-test and post-test evaluations, ensuring vehicles are test-ready and that any issues are promptly addressed.
\n- Serve as the technical point of contact during vehicle testing
\n- Identify opportunities to streamline troubleshooting protocols, automate diagnostic routines, and improve data capture methods to boost operational efficiency.
\n- Experience with continuous improvement (e.g., Lean, Six Sigma) and Root Cause Analysis (RCA) methodologies. Experience with established methodologies (e.g., 5 Whys, Fishbone diagrams, Fault Tree Analysis, or FMEA) to support the responsibility of conducting thorough root cause analyses on recurring issues.
\n- Functional Safety or Reliability Standards Experience in order to maintain vehicle uptime and safety. Experience maintaining and managing automotive safety standards (e.g., ISO 26262, UL 4600), hardware reliability standards, and/or formal quality management systems would be beneficial.
\n- Travel required 10%
\n
\n
Qualifications:
\n
\n- 5+ years of hands-on experience in automotive, robotics, aerospace, or a related industry with a focus on troubleshooting complex vehicle systems.
\n- Proficient with Linux-based systems and command-line diagnostics.
\n- Solid understanding of computer networking fundamentals.
\n- Experienced in CAN bus diagnostics and the use of automotive diagnostic tools.
\n- Strong data analysis capabilities with familiarity in using spreadsheets or scripting languages
\n- Excellent written and verbal communication skills, with a proven ability to document technical issues clearly and work collaboratively with multidisciplinary teams.
\n- Bachelor’s degree in Mechanical, Electrical, or Computer Engineering (or related field) or equivalent hands-on experience.
\n
\n
Shift Hours:
\n
\n- Current shift hours at 11pm to 7:30am and subject to change to support business needs.
\n
\n