[{"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:\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\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:
Waabi provides a competitive benefits package that includes:
- Daily drinks, snacks and catered meals (when in office)
- Regularly scheduled team building activities and social events
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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":"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...\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 \nQualifications:\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 \nApplication Instructions:\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","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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 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
\nQualifications:
\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
\nApplication Instructions:
\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.
","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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 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
\nQualifications:
\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
\nApplication Instructions:
\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.
","descriptionBodyPlain":"You will...\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 \nQualifications:\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 \nApplication Instructions:\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","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: $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:\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":"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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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.\n\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.\n \nYou will...\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 \nQualifications\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 \nBonus/nice to have:\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","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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\n
You will...
\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
Qualifications
\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
Bonus/nice to have:
\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
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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\n
You will...
\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
Qualifications
\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
Bonus/nice to have:
\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
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":"Finance","location":"San Francisco, CA","team":"Strategic Finance","allLocations":["San Francisco, CA","Remote US"]},"createdAt":1772659016404,"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 Director, FP&A will oversee and build out the FP&A team. They will partner closely with the Corporate controller and leaders across the company to help shape strategies and define priorities across the organization. Responsibilities will include all facets of strategic planning, forecasting, reporting, and capital allocation. As a proactive and analytically driven leader, they will focus on driving efficiency and reducing waste in the system without compromising growth. And they will bring thought leadership and best practices to help Waabi scale its operations effectively.\n \nYou will focus on...\nBudgeting and Forecasting: Comprehensive budget preparation and oversight, involving the development of annual operating budgets, forecasts, and financial plans. Regularly collaborate with leadership, working together to monitor and adjust budgets as needed to protect cash flow.\nDefine, model and report on SaaS business metrics including but not limited to ARR/MRR, Churn, CAC, LTV, etc.\nEvaluate hardware costs, investments (NRE, Tooling etc.), and drive BOM cost optimization.\nIdentify areas for efficiency improvements, aligning with key stakeholders to roadmap improvement plans.\nFinancial Reporting: Produce accurate and timely financial reports, including income statements, balance sheets, and cash flow statements. Monitor and report on financial performance against budget and make necessary adjustments. Present financial results to the executive team.\nEstablish processes and methodologies to track and report on KPI’s.\nOperational infrastructure: Build financial systems that can support growth and scale to support our ambitions.\nTake ownership of selecting and implementing FP&A tools that can leverage and support other systems like ERP, AP, T&E etc.\nEvolve and enforce our T&E policy.\nEstablish a process and structure with teams to report on both financial and non-financial KPI’s. \nLong term financing planning: Work closely with the leadership on long term (3-5yr) planning.\nFinancial Analysis: Conduct in-depth financial analysis to support decision-making. Evaluate investment opportunities, pricing strategies, and cost-saving initiatives.\nTeam Leadership: Lead by example in recruiting, developing, motivating, and retaining a highly effective finance team. Inspire change and collaboration among a diverse and distributed team. Encourage sharing of best practices and insights across all members of the team.\n \nQualifications:\nBachelor's degree or higher in Finance, Accounting, Business Management, or equivalent; MBA, CFA, and/or CPA certification preferred.\n10-12+ years of progressive experience in senior finance leadership positions, collaborating closely with executives.\n5-7+ years of finance leadership experience including a stint at a high-growth, venture backed start-up and preferably within the technology industry in the US or Canada. Experience with SaaS like business models.\nProven record of building a finance function from scratch or leading a company through its initial commercialization phase.\nComprehensive understanding of financial management, analysis, tools and reporting methodologies. Including experience with selecting and/or implementing FP&A software tools. Partnering with engineering teams to ensure data integrity.\nStrong expertise in financial regulations, accounting principles, and taxation.\nDemonstrated strategic thinking, problem-solving, and decision-making abilities.\nExceptional written and verbal communication skills, with attention to detail.\nExperience and excitement in supporting a dynamic, high-growth environment. \nThe US yearly salary range for this role is: $235,000 - $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. 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
The Director, FP&A will oversee and build out the FP&A team. They will partner closely with the Corporate controller and leaders across the company to help shape strategies and define priorities across the organization. Responsibilities will include all facets of strategic planning, forecasting, reporting, and capital allocation. As a proactive and analytically driven leader, they will focus on driving efficiency and reducing waste in the system without compromising growth. And they will bring thought leadership and best practices to help Waabi scale its operations effectively.
\n
\nYou will focus on...
\n\n- \n
Budgeting and Forecasting: Comprehensive budget preparation and oversight, involving the development of annual operating budgets, forecasts, and financial plans. Regularly collaborate with leadership, working together to monitor and adjust budgets as needed to protect cash flow.
\n\n- \n
Define, model and report on SaaS business metrics including but not limited to ARR/MRR, Churn, CAC, LTV, etc.
\n \n- \n
Evaluate hardware costs, investments (NRE, Tooling etc.), and drive BOM cost optimization.
\n \n- \n
Identify areas for efficiency improvements, aligning with key stakeholders to roadmap improvement plans.
\n \n
\n \n- \n
Financial Reporting: Produce accurate and timely financial reports, including income statements, balance sheets, and cash flow statements. Monitor and report on financial performance against budget and make necessary adjustments. Present financial results to the executive team.
\n\n \n- \n
Operational infrastructure: Build financial systems that can support growth and scale to support our ambitions.
\n\n- \n
Take ownership of selecting and implementing FP&A tools that can leverage and support other systems like ERP, AP, T&E etc.
\n \n- \n
Evolve and enforce our T&E policy.
\n \n- \n
Establish a process and structure with teams to report on both financial and non-financial KPI’s.
\n \n
\n \n- \n
Long term financing planning: Work closely with the leadership on long term (3-5yr) planning.
\n \n- \n
Financial Analysis: Conduct in-depth financial analysis to support decision-making. Evaluate investment opportunities, pricing strategies, and cost-saving initiatives.
\n \n- \n
Team Leadership: Lead by example in recruiting, developing, motivating, and retaining a highly effective finance team. Inspire change and collaboration among a diverse and distributed team. Encourage sharing of best practices and insights across all members of the team.
\n \n
\n
\nQualifications:
\n\n- \n
Bachelor's degree or higher in Finance, Accounting, Business Management, or equivalent; MBA, CFA, and/or CPA certification preferred.
\n \n- \n
10-12+ years of progressive experience in senior finance leadership positions, collaborating closely with executives.
\n \n- \n
5-7+ years of finance leadership experience including a stint at a high-growth, venture backed start-up and preferably within the technology industry in the US or Canada. Experience with SaaS like business models.
\n \n- \n
Proven record of building a finance function from scratch or leading a company through its initial commercialization phase.
\n \n- \n
Comprehensive understanding of financial management, analysis, tools and reporting methodologies. Including experience with selecting and/or implementing FP&A software tools. Partnering with engineering teams to ensure data integrity.
\n \n- \n
Strong expertise in financial regulations, accounting principles, and taxation.
\n \n- \n
Demonstrated strategic thinking, problem-solving, and decision-making abilities.
\n \n- \n
Exceptional written and verbal communication skills, with attention to detail.
\n \n- \n
Experience and excitement in supporting a dynamic, high-growth environment.
\n \n
\nThe US yearly salary range for this role is: $235,000 - $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. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
","id":"28b02db3-a731-4403-a5d6-13e88c0dffc1","lists":[],"text":"Director, FP&A","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 Director, FP&A will oversee and build out the FP&A team. They will partner closely with the Corporate controller and leaders across the company to help shape strategies and define priorities across the organization. Responsibilities will include all facets of strategic planning, forecasting, reporting, and capital allocation. As a proactive and analytically driven leader, they will focus on driving efficiency and reducing waste in the system without compromising growth. And they will bring thought leadership and best practices to help Waabi scale its operations effectively.
\n
\nYou will focus on...
\n\n- \n
Budgeting and Forecasting: Comprehensive budget preparation and oversight, involving the development of annual operating budgets, forecasts, and financial plans. Regularly collaborate with leadership, working together to monitor and adjust budgets as needed to protect cash flow.
\n\n- \n
Define, model and report on SaaS business metrics including but not limited to ARR/MRR, Churn, CAC, LTV, etc.
\n \n- \n
Evaluate hardware costs, investments (NRE, Tooling etc.), and drive BOM cost optimization.
\n \n- \n
Identify areas for efficiency improvements, aligning with key stakeholders to roadmap improvement plans.
\n \n
\n \n- \n
Financial Reporting: Produce accurate and timely financial reports, including income statements, balance sheets, and cash flow statements. Monitor and report on financial performance against budget and make necessary adjustments. Present financial results to the executive team.
\n\n \n- \n
Operational infrastructure: Build financial systems that can support growth and scale to support our ambitions.
\n\n- \n
Take ownership of selecting and implementing FP&A tools that can leverage and support other systems like ERP, AP, T&E etc.
\n \n- \n
Evolve and enforce our T&E policy.
\n \n- \n
Establish a process and structure with teams to report on both financial and non-financial KPI’s.
\n \n
\n \n- \n
Long term financing planning: Work closely with the leadership on long term (3-5yr) planning.
\n \n- \n
Financial Analysis: Conduct in-depth financial analysis to support decision-making. Evaluate investment opportunities, pricing strategies, and cost-saving initiatives.
\n \n- \n
Team Leadership: Lead by example in recruiting, developing, motivating, and retaining a highly effective finance team. Inspire change and collaboration among a diverse and distributed team. Encourage sharing of best practices and insights across all members of the team.
\n \n
\n
\nQualifications:
\n\n- \n
Bachelor's degree or higher in Finance, Accounting, Business Management, or equivalent; MBA, CFA, and/or CPA certification preferred.
\n \n- \n
10-12+ years of progressive experience in senior finance leadership positions, collaborating closely with executives.
\n \n- \n
5-7+ years of finance leadership experience including a stint at a high-growth, venture backed start-up and preferably within the technology industry in the US or Canada. Experience with SaaS like business models.
\n \n- \n
Proven record of building a finance function from scratch or leading a company through its initial commercialization phase.
\n \n- \n
Comprehensive understanding of financial management, analysis, tools and reporting methodologies. Including experience with selecting and/or implementing FP&A software tools. Partnering with engineering teams to ensure data integrity.
\n \n- \n
Strong expertise in financial regulations, accounting principles, and taxation.
\n \n- \n
Demonstrated strategic thinking, problem-solving, and decision-making abilities.
\n \n- \n
Exceptional written and verbal communication skills, with attention to detail.
\n \n- \n
Experience and excitement in supporting a dynamic, high-growth environment.
\n \n
\nThe US yearly salary range for this role is: $235,000 - $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. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
","descriptionBodyPlain":"The Director, FP&A will oversee and build out the FP&A team. They will partner closely with the Corporate controller and leaders across the company to help shape strategies and define priorities across the organization. Responsibilities will include all facets of strategic planning, forecasting, reporting, and capital allocation. As a proactive and analytically driven leader, they will focus on driving efficiency and reducing waste in the system without compromising growth. And they will bring thought leadership and best practices to help Waabi scale its operations effectively.\n \nYou will focus on...\nBudgeting and Forecasting: Comprehensive budget preparation and oversight, involving the development of annual operating budgets, forecasts, and financial plans. Regularly collaborate with leadership, working together to monitor and adjust budgets as needed to protect cash flow.\nDefine, model and report on SaaS business metrics including but not limited to ARR/MRR, Churn, CAC, LTV, etc.\nEvaluate hardware costs, investments (NRE, Tooling etc.), and drive BOM cost optimization.\nIdentify areas for efficiency improvements, aligning with key stakeholders to roadmap improvement plans.\nFinancial Reporting: Produce accurate and timely financial reports, including income statements, balance sheets, and cash flow statements. Monitor and report on financial performance against budget and make necessary adjustments. Present financial results to the executive team.\nEstablish processes and methodologies to track and report on KPI’s.\nOperational infrastructure: Build financial systems that can support growth and scale to support our ambitions.\nTake ownership of selecting and implementing FP&A tools that can leverage and support other systems like ERP, AP, T&E etc.\nEvolve and enforce our T&E policy.\nEstablish a process and structure with teams to report on both financial and non-financial KPI’s. \nLong term financing planning: Work closely with the leadership on long term (3-5yr) planning.\nFinancial Analysis: Conduct in-depth financial analysis to support decision-making. Evaluate investment opportunities, pricing strategies, and cost-saving initiatives.\nTeam Leadership: Lead by example in recruiting, developing, motivating, and retaining a highly effective finance team. Inspire change and collaboration among a diverse and distributed team. Encourage sharing of best practices and insights across all members of the team.\n \nQualifications:\nBachelor's degree or higher in Finance, Accounting, Business Management, or equivalent; MBA, CFA, and/or CPA certification preferred.\n10-12+ years of progressive experience in senior finance leadership positions, collaborating closely with executives.\n5-7+ years of finance leadership experience including a stint at a high-growth, venture backed start-up and preferably within the technology industry in the US or Canada. Experience with SaaS like business models.\nProven record of building a finance function from scratch or leading a company through its initial commercialization phase.\nComprehensive understanding of financial management, analysis, tools and reporting methodologies. Including experience with selecting and/or implementing FP&A software tools. Partnering with engineering teams to ensure data integrity.\nStrong expertise in financial regulations, accounting principles, and taxation.\nDemonstrated strategic thinking, problem-solving, and decision-making abilities.\nExceptional written and verbal communication skills, with attention to detail.\nExperience and excitement in supporting a dynamic, high-growth environment. \nThe US yearly salary range for this role is: $235,000 - $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. 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/28b02db3-a731-4403-a5d6-13e88c0dffc1","applyUrl":"https://jobs.lever.co/waabi/28b02db3-a731-4403-a5d6-13e88c0dffc1/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:\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":"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- 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":"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...\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\nQualifications:\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","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...
- Develop and execute a detailed automotive and partnership strategy aligned with Waabi’s goals.
- Be a key business interface between Waabi and OEM partners and drive negotiations.
- Work cross-functionally with Waabi’s engineering, product, finance, and legal teams to negotiate new deals and execute upon existing contracts.
- Build, manage and evolve strong partnerships to support Waabi’s business objectives.
- Structure and negotiate partnership agreements with win-win incentives and balanced terms.
- Evaluate and maintain partner engagement by building trusted relationships with partners and developing a thorough understanding of their priorities and challenges.
- Convey business & product requirements in collaboration with technical stakeholders, taking into consideration Waabi’s overall strategy and objectives.
Qualifications:
- 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.
- Automotive experiences and expertise leading and/or partnering with OEM’s - bringing new products to market.
- Solid understanding of business processes and best practices in product strategy and positioning.
- Experience developing new product strategy and the ability to manage multiple products from end to end.
- Proven track record of developing strategic partnerships and negotiating agreement terms from initial discussions and relationship management through agreement closing and partner management.
- Excellent verbal and writing skills by setting the right level of context to internal and external stakeholders.
- Ability to communicate directly with senior executives while in a fast-paced, ambiguous environment.
- Strong interpersonal skills to effectively collaborate, influence, build trust and develop meaningful relationships with internal and partner contacts.
- Experience with financial models, negotiations, and creating strategic partnerships.
- Strong analytical skills with the ability to break-down complex technical, contractual and financial issues.
- Open-minded and collaborative team player with the willingness to help others.
- Passionate about self-driving technologies, building partnerships, and driving results.
","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...
- Develop and execute a detailed automotive and partnership strategy aligned with Waabi’s goals.
- Be a key business interface between Waabi and OEM partners and drive negotiations.
- Work cross-functionally with Waabi’s engineering, product, finance, and legal teams to negotiate new deals and execute upon existing contracts.
- Build, manage and evolve strong partnerships to support Waabi’s business objectives.
- Structure and negotiate partnership agreements with win-win incentives and balanced terms.
- Evaluate and maintain partner engagement by building trusted relationships with partners and developing a thorough understanding of their priorities and challenges.
- Convey business & product requirements in collaboration with technical stakeholders, taking into consideration Waabi’s overall strategy and objectives.
Qualifications:
- 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.
- Automotive experiences and expertise leading and/or partnering with OEM’s - bringing new products to market.
- Solid understanding of business processes and best practices in product strategy and positioning.
- Experience developing new product strategy and the ability to manage multiple products from end to end.
- Proven track record of developing strategic partnerships and negotiating agreement terms from initial discussions and relationship management through agreement closing and partner management.
- Excellent verbal and writing skills by setting the right level of context to internal and external stakeholders.
- Ability to communicate directly with senior executives while in a fast-paced, ambiguous environment.
- Strong interpersonal skills to effectively collaborate, influence, build trust and develop meaningful relationships with internal and partner contacts.
- Experience with financial models, negotiations, and creating strategic partnerships.
- Strong analytical skills with the ability to break-down complex technical, contractual and financial issues.
- Open-minded and collaborative team player with the willingness to help others.
- Passionate about self-driving technologies, building partnerships, and driving results.
","descriptionBodyPlain":"You will...\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\nQualifications:\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","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:\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":"\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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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
- 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- \n
Distillation for generative models (diffusion, autoregressive, flow-matching, video models)
\n \n- \n
Quantization-aware training (QAT) and post-training quantization (PTQ)
\n \n- \n
Knowledge distillation (feature-level, response-based, and relation-based)
\n \n- \n
Structured and unstructured pruning and sparsification
\n \n- \n
Low-rank factorization and efficient architecture design
\n \n- \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
Qualifications:
\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
Bonus:
\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
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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
- 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- \n
Distillation for generative models (diffusion, autoregressive, flow-matching, video models)
\n \n- \n
Quantization-aware training (QAT) and post-training quantization (PTQ)
\n \n- \n
Knowledge distillation (feature-level, response-based, and relation-based)
\n \n- \n
Structured and unstructured pruning and sparsification
\n \n- \n
Low-rank factorization and efficient architecture design
\n \n- \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
Qualifications:
\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
Bonus:
\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
The US yearly salary range for this role is: $159,000 - $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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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":1774580646137,"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 looking for a hands-on leader to build a new centralized Evaluation team. This team will be responsible for providing comprehensive and holistic analysis on all aspects of performance of the autonomy system. In this role, you will collaborate closely with the systems & safety team, responsible for defining the requirements & evaluation criteria, as well as the autonomy teams to understand their evaluation needs. You will get to work with 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\nYou will...\n- Lead and build a cross functional team of software engineers, data analysts, and data scientists supporting automated workflows that provide high signal on autonomy performance. \n- Design scalable production frameworks for sampling evaluation sets, developing and improving metrics, and systematically measuring the performance of both autonomy and the eval ecosystem itself.\n- Design pipelines, tools, and dashboards to characterize autonomy performance for technical teams and executive leadership, collaborating closely with platform teams on implementation, and autonomy, systems and safety and product teams on requirements. \n- Work closely with simulation and software teams to build solutions that leverage our data, metrics and simulation platforms effectively. \n- Lead technical projects; contributing as an IC while also managing the team.\n- Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers.\n- Conduct regular one-on-one meetings to offer guidance and constructive feedback to direct reports.\n \nQualifications:\n- Minimum of 6+ years of autonomous vehicle industry experience including at least 2+ years managing high performing teams\n- Experience evaluating AI or machine learning models, ideally in self-driving or related fields\n- MS/PhD or Bachelors degree in Computer Science, Data Science, Robotics and/or similar technical field(s) of study\n- Strong statistical background \n- Experience working with internal cross-functional partners/stakeholders \n- Experience with system design/architecture and algorithms\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- Previous experience leading Autonomy Evaluation teams \n- Experience with large scale databases and analytics \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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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 looking for a hands-on leader to build a new centralized Evaluation team. This team will be responsible for providing comprehensive and holistic analysis on all aspects of performance of the autonomy system. In this role, you will collaborate closely with the systems & safety team, responsible for defining the requirements & evaluation criteria, as well as the autonomy teams to understand their evaluation needs. You will get to work with 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
You will...
\n- Lead and build a cross functional team of software engineers, data analysts, and data scientists supporting automated workflows that provide high signal on autonomy performance.
\n- Design scalable production frameworks for sampling evaluation sets, developing and improving metrics, and systematically measuring the performance of both autonomy and the eval ecosystem itself.
\n- Design pipelines, tools, and dashboards to characterize autonomy performance for technical teams and executive leadership, collaborating closely with platform teams on implementation, and autonomy, systems and safety and product teams on requirements.
\n- Work closely with simulation and software teams to build solutions that leverage our data, metrics and simulation platforms effectively.
\n- Lead technical projects; contributing as an IC while also managing the team.
\n- Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers.
\n- Conduct regular one-on-one meetings to offer guidance and constructive feedback to direct reports.
\n
\nQualifications:
\n- Minimum of 6+ years of autonomous vehicle industry experience including at least 2+ years managing high performing teams
\n- Experience evaluating AI or machine learning models, ideally in self-driving or related fields
\n- MS/PhD or Bachelors degree in Computer Science, Data Science, Robotics and/or similar technical field(s) of study
\n- Strong statistical background
\n- Experience working with internal cross-functional partners/stakeholders
\n- Experience with system design/architecture and algorithms
\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- Previous experience leading Autonomy Evaluation teams
\n- Experience with large scale databases and analytics
","id":"20059be3-3f65-41d9-a6ec-d66f3a238fd5","lists":[],"text":"Evaluation Lead","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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 looking for a hands-on leader to build a new centralized Evaluation team. This team will be responsible for providing comprehensive and holistic analysis on all aspects of performance of the autonomy system. In this role, you will collaborate closely with the systems & safety team, responsible for defining the requirements & evaluation criteria, as well as the autonomy teams to understand their evaluation needs. You will get to work with 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
You will...
\n- Lead and build a cross functional team of software engineers, data analysts, and data scientists supporting automated workflows that provide high signal on autonomy performance.
\n- Design scalable production frameworks for sampling evaluation sets, developing and improving metrics, and systematically measuring the performance of both autonomy and the eval ecosystem itself.
\n- Design pipelines, tools, and dashboards to characterize autonomy performance for technical teams and executive leadership, collaborating closely with platform teams on implementation, and autonomy, systems and safety and product teams on requirements.
\n- Work closely with simulation and software teams to build solutions that leverage our data, metrics and simulation platforms effectively.
\n- Lead technical projects; contributing as an IC while also managing the team.
\n- Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers.
\n- Conduct regular one-on-one meetings to offer guidance and constructive feedback to direct reports.
\n
\nQualifications:
\n- Minimum of 6+ years of autonomous vehicle industry experience including at least 2+ years managing high performing teams
\n- Experience evaluating AI or machine learning models, ideally in self-driving or related fields
\n- MS/PhD or Bachelors degree in Computer Science, Data Science, Robotics and/or similar technical field(s) of study
\n- Strong statistical background
\n- Experience working with internal cross-functional partners/stakeholders
\n- Experience with system design/architecture and algorithms
\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- Previous experience leading Autonomy Evaluation teams
\n- Experience with large scale databases and analytics
","descriptionBodyPlain":"We are looking for a hands-on leader to build a new centralized Evaluation team. This team will be responsible for providing comprehensive and holistic analysis on all aspects of performance of the autonomy system. In this role, you will collaborate closely with the systems & safety team, responsible for defining the requirements & evaluation criteria, as well as the autonomy teams to understand their evaluation needs. You will get to work with 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\nYou will...\n- Lead and build a cross functional team of software engineers, data analysts, and data scientists supporting automated workflows that provide high signal on autonomy performance. \n- Design scalable production frameworks for sampling evaluation sets, developing and improving metrics, and systematically measuring the performance of both autonomy and the eval ecosystem itself.\n- Design pipelines, tools, and dashboards to characterize autonomy performance for technical teams and executive leadership, collaborating closely with platform teams on implementation, and autonomy, systems and safety and product teams on requirements. \n- Work closely with simulation and software teams to build solutions that leverage our data, metrics and simulation platforms effectively. \n- Lead technical projects; contributing as an IC while also managing the team.\n- Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers.\n- Conduct regular one-on-one meetings to offer guidance and constructive feedback to direct reports.\n \nQualifications:\n- Minimum of 6+ years of autonomous vehicle industry experience including at least 2+ years managing high performing teams\n- Experience evaluating AI or machine learning models, ideally in self-driving or related fields\n- MS/PhD or Bachelors degree in Computer Science, Data Science, Robotics and/or similar technical field(s) of study\n- Strong statistical background \n- Experience working with internal cross-functional partners/stakeholders \n- Experience with system design/architecture and algorithms\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- Previous experience leading Autonomy Evaluation teams \n- Experience with large scale databases and analytics \n","hostedUrl":"https://jobs.lever.co/waabi/20059be3-3f65-41d9-a6ec-d66f3a238fd5","applyUrl":"https://jobs.lever.co/waabi/20059be3-3f65-41d9-a6ec-d66f3a238fd5/apply"},{"additionalPlain":"Perks/Benefits:\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\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:
- Competitive compensation and equity awards.
- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
- Paid parental, medical and family care leave.
- Generous PTO Policy
- Retirement savings plans including 401(k) or RRSP options.
- Health savings account contribution options.
- Daily drinks, snacks, and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- Additional benefits are offered and tailored to specific country locations.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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\nThe Fleet Specialist is a proactive \"self-starter\" who serves as the vital technical link between Waabi’s autonomous vehicle systems and real-world operations. This is primarily an in-truck role focused on mission success through real-time technical monitoring and high-integrity data collection. When not on a mission in a vehicle, the Fleet Specialist drives operational efficiency through ancillary in-office support, ensuring data ingestion and fleet readiness are never bottlenecks.\n \nYou will…\nField Operations (Primary In-Truck Role)\n- Mission Monitoring: Monitor vehicle system status from the front right seat during all manual and autonomous trips.\n- Technical Preparation: Collaborate with engineers, dispatch, and triage to prepare vehicle compute systems for missions.\n- Real-Time Data Logging: Use Slack trip threads to provide a time-stamped record of start/stop times, delays, and mission events as they progress.\n- Performance Reporting: Accurately complete the applicable documentation before, during, and immediately after mission completion.\n- Ensure all data adheres to strict formats: 24-hour time (e.g., 22:30), standardized vehicle IDs, and concise factual descriptions of issues.\n- System Liaison: Provide critical system information to the driver to allow for full monitoring of vehicle behavior.\nIn-Office Support (Ancillary Efficiency Tasks)\nWhen not assigned to an active vehicle mission, the Fleet Specialist supports the hub through the following:\n- Data Offload Operations: Manage the signing in/out of drives, physical installation/removal from vehicles, and initiation of data offloads at ingest workstations.\n- Technical Triage: Update triage threads (e.g. Slack, Jira) to communicate drive ingestion status or issues like damaged drives.\n- Fleet Readiness: Connect vehicles to the network for remote diagnostics and verify all required applicable truck documentation is present.\n- Maintenance Support: Conduct pre- and post-trip inspections and transport vehicles to/from maintenance vendors.\n- Facility Coordination: Assist the Facility Specialist with light organization, supply restocks (e.g., cleaning supplies), and maintaining an organized 5-S garage environment.\n- The requirements for this position involve a flexible schedule, including nights and/or weekends, often including multiple consecutive extended shifts of up to 14 hours (in compliance with FMCSA Hours of Service regulations for our CDL operators) and overnight travel. These situations are part of various responsibilities, including but not limited to the following:\n - Traveling to a test track for software or vehicle testing.\n - Participating in scouting or testing missions.\n - Supporting Waabi teams at an industry event.\n - Operating on a commercial delivery route.\n \nQualifications:\n- Technical Aptitude: Must be comfortable working in Terminal and possess a strong understanding of the compute side of the truck.\n- Data Integrity: High attention to detail regarding data entry; understands that data is only valuable if it remains accurate and unaltered.\n- Communication: Excellent written and verbal skills; proactive in providing updates to cross-functional stakeholders.\n- Adaptability: Ability to thrive in a fast-paced environment and identify \"implied tasks”, which are necessary actions not explicitly assigned but required for team success.\n- Background: High school diploma required. Prior experience in logistics, operations, or as a military veteran/new grad engineer is preferred.\n- Logistics: Ability to work flexible hours (including weekends/holidays) and travel for out-of-area missions.\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 \nAdditional Information:\n- This is not a driving position and does not require a Commercial Driver’s License (CDL).\n- This position requires sitting in a vehicle for extended, multi-hour periods, with occasional breaks for rest and meals.\n- The Fleet Specialist may be required to work occasional weekends or holidays to support operations.\n- Travel required to support out of area vehicle trips.\n- Comfortable with late night and weekend shifts.\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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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 Fleet Specialist is a proactive \"self-starter\" who serves as the vital technical link between Waabi’s autonomous vehicle systems and real-world operations. This is primarily an in-truck role focused on mission success through real-time technical monitoring and high-integrity data collection. When not on a mission in a vehicle, the Fleet Specialist drives operational efficiency through ancillary in-office support, ensuring data ingestion and fleet readiness are never bottlenecks.
\n
\nYou will…
\nField Operations (Primary In-Truck Role)
- Mission Monitoring: Monitor vehicle system status from the front right seat during all manual and autonomous trips.
- Technical Preparation: Collaborate with engineers, dispatch, and triage to prepare vehicle compute systems for missions.
- Real-Time Data Logging: Use Slack trip threads to provide a time-stamped record of start/stop times, delays, and mission events as they progress.
- Performance Reporting: Accurately complete the applicable documentation before, during, and immediately after mission completion.
- Ensure all data adheres to strict formats: 24-hour time (e.g., 22:30), standardized vehicle IDs, and concise factual descriptions of issues.
- System Liaison: Provide critical system information to the driver to allow for full monitoring of vehicle behavior.
\nIn-Office Support (Ancillary Efficiency Tasks)
When not assigned to an active vehicle mission, the Fleet Specialist supports the hub through the following:
- Data Offload Operations: Manage the signing in/out of drives, physical installation/removal from vehicles, and initiation of data offloads at ingest workstations.
- Technical Triage: Update triage threads (e.g. Slack, Jira) to communicate drive ingestion status or issues like damaged drives.
- Fleet Readiness: Connect vehicles to the network for remote diagnostics and verify all required applicable truck documentation is present.
- Maintenance Support: Conduct pre- and post-trip inspections and transport vehicles to/from maintenance vendors.
- Facility Coordination: Assist the Facility Specialist with light organization, supply restocks (e.g., cleaning supplies), and maintaining an organized 5-S garage environment.
- The requirements for this position involve a flexible schedule, including nights and/or weekends, often including multiple consecutive extended shifts of up to 14 hours (in compliance with FMCSA Hours of Service regulations for our CDL operators) and overnight travel. These situations are part of various responsibilities, including but not limited to the following:
- Traveling to a test track for software or vehicle testing.
- Participating in scouting or testing missions.
- Supporting Waabi teams at an industry event.
- Operating on a commercial delivery route.
\n
\nQualifications:
\n- Technical Aptitude: Must be comfortable working in Terminal and possess a strong understanding of the compute side of the truck.
- Data Integrity: High attention to detail regarding data entry; understands that data is only valuable if it remains accurate and unaltered.
- Communication: Excellent written and verbal skills; proactive in providing updates to cross-functional stakeholders.
- Adaptability: Ability to thrive in a fast-paced environment and identify \"implied tasks”, which are necessary actions not explicitly assigned but required for team success.
- Background: High school diploma required. Prior experience in logistics, operations, or as a military veteran/new grad engineer is preferred.
- Logistics: Ability to work flexible hours (including weekends/holidays) and travel for out-of-area missions.
\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
\nAdditional Information:
\n- This is not a driving position and does not require a Commercial Driver’s License (CDL).
\n- This position requires sitting in a vehicle for extended, multi-hour periods, with occasional breaks for rest and meals.
\n- The Fleet Specialist may be required to work occasional weekends or holidays to support operations.
\n- Travel required to support out of area vehicle trips.
\n- Comfortable with late night and weekend shifts.
\n
","id":"71546dca-a904-4620-8e8f-190a3954b6dd","lists":[],"text":"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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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 Fleet Specialist is a proactive \"self-starter\" who serves as the vital technical link between Waabi’s autonomous vehicle systems and real-world operations. This is primarily an in-truck role focused on mission success through real-time technical monitoring and high-integrity data collection. When not on a mission in a vehicle, the Fleet Specialist drives operational efficiency through ancillary in-office support, ensuring data ingestion and fleet readiness are never bottlenecks.
\n
\nYou will…
\nField Operations (Primary In-Truck Role)
- Mission Monitoring: Monitor vehicle system status from the front right seat during all manual and autonomous trips.
- Technical Preparation: Collaborate with engineers, dispatch, and triage to prepare vehicle compute systems for missions.
- Real-Time Data Logging: Use Slack trip threads to provide a time-stamped record of start/stop times, delays, and mission events as they progress.
- Performance Reporting: Accurately complete the applicable documentation before, during, and immediately after mission completion.
- Ensure all data adheres to strict formats: 24-hour time (e.g., 22:30), standardized vehicle IDs, and concise factual descriptions of issues.
- System Liaison: Provide critical system information to the driver to allow for full monitoring of vehicle behavior.
\nIn-Office Support (Ancillary Efficiency Tasks)
When not assigned to an active vehicle mission, the Fleet Specialist supports the hub through the following:
- Data Offload Operations: Manage the signing in/out of drives, physical installation/removal from vehicles, and initiation of data offloads at ingest workstations.
- Technical Triage: Update triage threads (e.g. Slack, Jira) to communicate drive ingestion status or issues like damaged drives.
- Fleet Readiness: Connect vehicles to the network for remote diagnostics and verify all required applicable truck documentation is present.
- Maintenance Support: Conduct pre- and post-trip inspections and transport vehicles to/from maintenance vendors.
- Facility Coordination: Assist the Facility Specialist with light organization, supply restocks (e.g., cleaning supplies), and maintaining an organized 5-S garage environment.
- The requirements for this position involve a flexible schedule, including nights and/or weekends, often including multiple consecutive extended shifts of up to 14 hours (in compliance with FMCSA Hours of Service regulations for our CDL operators) and overnight travel. These situations are part of various responsibilities, including but not limited to the following:
- Traveling to a test track for software or vehicle testing.
- Participating in scouting or testing missions.
- Supporting Waabi teams at an industry event.
- Operating on a commercial delivery route.
\n
\nQualifications:
\n- Technical Aptitude: Must be comfortable working in Terminal and possess a strong understanding of the compute side of the truck.
- Data Integrity: High attention to detail regarding data entry; understands that data is only valuable if it remains accurate and unaltered.
- Communication: Excellent written and verbal skills; proactive in providing updates to cross-functional stakeholders.
- Adaptability: Ability to thrive in a fast-paced environment and identify \"implied tasks”, which are necessary actions not explicitly assigned but required for team success.
- Background: High school diploma required. Prior experience in logistics, operations, or as a military veteran/new grad engineer is preferred.
- Logistics: Ability to work flexible hours (including weekends/holidays) and travel for out-of-area missions.
\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
\nAdditional Information:
\n- This is not a driving position and does not require a Commercial Driver’s License (CDL).
\n- This position requires sitting in a vehicle for extended, multi-hour periods, with occasional breaks for rest and meals.
\n- The Fleet Specialist may be required to work occasional weekends or holidays to support operations.
\n- Travel required to support out of area vehicle trips.
\n- Comfortable with late night and weekend shifts.
\n
","descriptionBodyPlain":"The Fleet Specialist is a proactive \"self-starter\" who serves as the vital technical link between Waabi’s autonomous vehicle systems and real-world operations. This is primarily an in-truck role focused on mission success through real-time technical monitoring and high-integrity data collection. When not on a mission in a vehicle, the Fleet Specialist drives operational efficiency through ancillary in-office support, ensuring data ingestion and fleet readiness are never bottlenecks.\n \nYou will…\nField Operations (Primary In-Truck Role)\n- Mission Monitoring: Monitor vehicle system status from the front right seat during all manual and autonomous trips.\n- Technical Preparation: Collaborate with engineers, dispatch, and triage to prepare vehicle compute systems for missions.\n- Real-Time Data Logging: Use Slack trip threads to provide a time-stamped record of start/stop times, delays, and mission events as they progress.\n- Performance Reporting: Accurately complete the applicable documentation before, during, and immediately after mission completion.\n- Ensure all data adheres to strict formats: 24-hour time (e.g., 22:30), standardized vehicle IDs, and concise factual descriptions of issues.\n- System Liaison: Provide critical system information to the driver to allow for full monitoring of vehicle behavior.\nIn-Office Support (Ancillary Efficiency Tasks)\nWhen not assigned to an active vehicle mission, the Fleet Specialist supports the hub through the following:\n- Data Offload Operations: Manage the signing in/out of drives, physical installation/removal from vehicles, and initiation of data offloads at ingest workstations.\n- Technical Triage: Update triage threads (e.g. Slack, Jira) to communicate drive ingestion status or issues like damaged drives.\n- Fleet Readiness: Connect vehicles to the network for remote diagnostics and verify all required applicable truck documentation is present.\n- Maintenance Support: Conduct pre- and post-trip inspections and transport vehicles to/from maintenance vendors.\n- Facility Coordination: Assist the Facility Specialist with light organization, supply restocks (e.g., cleaning supplies), and maintaining an organized 5-S garage environment.\n- The requirements for this position involve a flexible schedule, including nights and/or weekends, often including multiple consecutive extended shifts of up to 14 hours (in compliance with FMCSA Hours of Service regulations for our CDL operators) and overnight travel. These situations are part of various responsibilities, including but not limited to the following:\n - Traveling to a test track for software or vehicle testing.\n - Participating in scouting or testing missions.\n - Supporting Waabi teams at an industry event.\n - Operating on a commercial delivery route.\n \nQualifications:\n- Technical Aptitude: Must be comfortable working in Terminal and possess a strong understanding of the compute side of the truck.\n- Data Integrity: High attention to detail regarding data entry; understands that data is only valuable if it remains accurate and unaltered.\n- Communication: Excellent written and verbal skills; proactive in providing updates to cross-functional stakeholders.\n- Adaptability: Ability to thrive in a fast-paced environment and identify \"implied tasks”, which are necessary actions not explicitly assigned but required for team success.\n- Background: High school diploma required. Prior experience in logistics, operations, or as a military veteran/new grad engineer is preferred.\n- Logistics: Ability to work flexible hours (including weekends/holidays) and travel for out-of-area missions.\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 \nAdditional Information:\n- This is not a driving position and does not require a Commercial Driver’s License (CDL).\n- This position requires sitting in a vehicle for extended, multi-hour periods, with occasional breaks for rest and meals.\n- The Fleet Specialist may be required to work occasional weekends or holidays to support operations.\n- Travel required to support out of area vehicle trips.\n- Comfortable with late night and weekend shifts.\n \n","hostedUrl":"https://jobs.lever.co/waabi/71546dca-a904-4620-8e8f-190a3954b6dd","applyUrl":"https://jobs.lever.co/waabi/71546dca-a904-4620-8e8f-190a3954b6dd/apply"},{"additionalPlain":"The US yearly salary range for this role is: $120,000 - $160,000 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:\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!\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: $120,000 - $160,000 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- 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!
\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":"People & Places","location":"Dallas, TX","team":"Human Resources","allLocations":["Dallas, TX"]},"createdAt":1775007465534,"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- Act as a trusted consultant to senior leaders, providing data-driven insights on organizational design, workforce planning, talent development and gaps, etc.\n- Provide overall support to employees, managers and leaders in the business: coaching on performance management, accommodations, business conduct, policies, and other HR-related topics.\n- Analyze data from various daily activities and projects to identify patterns and trends that can help create, improve processes, or identify areas of concern across your business teams. \n- Design and lead the organization through broad change management efforts associated with the rapid growth of the company and the evolution towards commercialization and product diversification, including operating model evolution, communication structure, process formalization and organizational design evolution.\n- Implement high impact performance management frameworks to drive continuous feedback and growth.\n- Act as a steward of our culture through growth, ensuring our values continue to act as guiding principles for leaders, managers and employees.\n- Partner with the People team to ensure our compensation and benefits remain competitive and support managers and employees in the understanding of our compensation philosophy and offering.\n- Navigate complex people issues with empathy and legal compliance, acting as a neutral party for the business and employees.\n \nQualifications:\n- 6+ years of HR experience, with at least 2-3 years in an HRBP capacity within a fast-paced tech environment.\n- Bachelor degree or higher.\n- Experience coaching management layers (from new managers to senior leadership) to strengthen their management and leadership capability.\n- Experience designing and approaching people strategy with an emphasis and understanding of the business strategy.\n- Proven capability to effectively provide employee HR consultations.\n- Strong analytical skills and logical through processes, with the ability to identify and resolve sophisticated and sensitive HR issues/problems.\n- Excellent verbal and written communication skills.\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- Demonstrated experience working in high ambiguity without clear playbooks or processes.\n- HR Partnership experience with non-exempt employees, including understanding of key legal and safety compliance elements.\n \nBonus/nice to have:\n- Experience supporting operational business teams. \n- Experience working in a start up and/or autonomous vehicle industry.\n- Direct experience in designing and leveraging AI in key HR workflows.\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- Act as a trusted consultant to senior leaders, providing data-driven insights on organizational design, workforce planning, talent development and gaps, etc.
\n- Provide overall support to employees, managers and leaders in the business: coaching on performance management, accommodations, business conduct, policies, and other HR-related topics.
\n- Analyze data from various daily activities and projects to identify patterns and trends that can help create, improve processes, or identify areas of concern across your business teams.
\n- Design and lead the organization through broad change management efforts associated with the rapid growth of the company and the evolution towards commercialization and product diversification, including operating model evolution, communication structure, process formalization and organizational design evolution.
\n- Implement high impact performance management frameworks to drive continuous feedback and growth.
\n- Act as a steward of our culture through growth, ensuring our values continue to act as guiding principles for leaders, managers and employees.
\n- Partner with the People team to ensure our compensation and benefits remain competitive and support managers and employees in the understanding of our compensation philosophy and offering.
\n- Navigate complex people issues with empathy and legal compliance, acting as a neutral party for the business and employees.
\n
\nQualifications:
\n- 6+ years of HR experience, with at least 2-3 years in an HRBP capacity within a fast-paced tech environment.
\n- Bachelor degree or higher.
\n- Experience coaching management layers (from new managers to senior leadership) to strengthen their management and leadership capability.
\n- Experience designing and approaching people strategy with an emphasis and understanding of the business strategy.
\n- Proven capability to effectively provide employee HR consultations.
\n- Strong analytical skills and logical through processes, with the ability to identify and resolve sophisticated and sensitive HR issues/problems.
\n- Excellent verbal and written communication skills.
\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- Demonstrated experience working in high ambiguity without clear playbooks or processes.
\n- HR Partnership experience with non-exempt employees, including understanding of key legal and safety compliance elements.
\n
\nBonus/nice to have:
\n- Experience supporting operational business teams.
\n- Experience working in a start up and/or autonomous vehicle industry.
\n- Direct experience in designing and leveraging AI in key HR workflows.
","id":"ac31b674-bcdf-4666-beef-562bae464c4e","lists":[],"text":"HR Business Partner","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- Act as a trusted consultant to senior leaders, providing data-driven insights on organizational design, workforce planning, talent development and gaps, etc.
\n- Provide overall support to employees, managers and leaders in the business: coaching on performance management, accommodations, business conduct, policies, and other HR-related topics.
\n- Analyze data from various daily activities and projects to identify patterns and trends that can help create, improve processes, or identify areas of concern across your business teams.
\n- Design and lead the organization through broad change management efforts associated with the rapid growth of the company and the evolution towards commercialization and product diversification, including operating model evolution, communication structure, process formalization and organizational design evolution.
\n- Implement high impact performance management frameworks to drive continuous feedback and growth.
\n- Act as a steward of our culture through growth, ensuring our values continue to act as guiding principles for leaders, managers and employees.
\n- Partner with the People team to ensure our compensation and benefits remain competitive and support managers and employees in the understanding of our compensation philosophy and offering.
\n- Navigate complex people issues with empathy and legal compliance, acting as a neutral party for the business and employees.
\n
\nQualifications:
\n- 6+ years of HR experience, with at least 2-3 years in an HRBP capacity within a fast-paced tech environment.
\n- Bachelor degree or higher.
\n- Experience coaching management layers (from new managers to senior leadership) to strengthen their management and leadership capability.
\n- Experience designing and approaching people strategy with an emphasis and understanding of the business strategy.
\n- Proven capability to effectively provide employee HR consultations.
\n- Strong analytical skills and logical through processes, with the ability to identify and resolve sophisticated and sensitive HR issues/problems.
\n- Excellent verbal and written communication skills.
\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- Demonstrated experience working in high ambiguity without clear playbooks or processes.
\n- HR Partnership experience with non-exempt employees, including understanding of key legal and safety compliance elements.
\n
\nBonus/nice to have:
\n- Experience supporting operational business teams.
\n- Experience working in a start up and/or autonomous vehicle industry.
\n- Direct experience in designing and leveraging AI in key HR workflows.
","descriptionBodyPlain":"You will...\n- Act as a trusted consultant to senior leaders, providing data-driven insights on organizational design, workforce planning, talent development and gaps, etc.\n- Provide overall support to employees, managers and leaders in the business: coaching on performance management, accommodations, business conduct, policies, and other HR-related topics.\n- Analyze data from various daily activities and projects to identify patterns and trends that can help create, improve processes, or identify areas of concern across your business teams. \n- Design and lead the organization through broad change management efforts associated with the rapid growth of the company and the evolution towards commercialization and product diversification, including operating model evolution, communication structure, process formalization and organizational design evolution.\n- Implement high impact performance management frameworks to drive continuous feedback and growth.\n- Act as a steward of our culture through growth, ensuring our values continue to act as guiding principles for leaders, managers and employees.\n- Partner with the People team to ensure our compensation and benefits remain competitive and support managers and employees in the understanding of our compensation philosophy and offering.\n- Navigate complex people issues with empathy and legal compliance, acting as a neutral party for the business and employees.\n \nQualifications:\n- 6+ years of HR experience, with at least 2-3 years in an HRBP capacity within a fast-paced tech environment.\n- Bachelor degree or higher.\n- Experience coaching management layers (from new managers to senior leadership) to strengthen their management and leadership capability.\n- Experience designing and approaching people strategy with an emphasis and understanding of the business strategy.\n- Proven capability to effectively provide employee HR consultations.\n- Strong analytical skills and logical through processes, with the ability to identify and resolve sophisticated and sensitive HR issues/problems.\n- Excellent verbal and written communication skills.\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- Demonstrated experience working in high ambiguity without clear playbooks or processes.\n- HR Partnership experience with non-exempt employees, including understanding of key legal and safety compliance elements.\n \nBonus/nice to have:\n- Experience supporting operational business teams. \n- Experience working in a start up and/or autonomous vehicle industry.\n- Direct experience in designing and leveraging AI in key HR workflows.\n","hostedUrl":"https://jobs.lever.co/waabi/ac31b674-bcdf-4666-beef-562bae464c4e","applyUrl":"https://jobs.lever.co/waabi/ac31b674-bcdf-4666-beef-562bae464c4e/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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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":1778251668082,"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...\nStrategic Scaling and Team LeadershipStrategically scale Waabi’s Hardware V&V (Verification and Validation) capability to support rapid market growth and meet internal DV/PV standards or specific OEM requirements.You will lead, mentor, and manage a high-performing team responsible for all V&V activities.\nV&V Execution and Quality Assurance\nOversee the planning and execution of comprehensive functional tests and performance evaluations on hardware prototypes.\nDirect the team in identifying and troubleshooting issues related to hardware functionality, compatibility, and performance, ensuring high system reliability.\nCross-Functional Collaboration\nCollaborate closely with software engineers to ensure seamless hardware-software integration and compatibility throughout the testing process.\nDocument, communicate, and present detailed test results to cross-functional design teams to drive improvements.\nRegulatory Compliance and Certification\nManage all aspects of Compliance Testing and Certification.\nPlan and execute critical compliance tests, including EMI/EMC, electrical safety, and environmental tests, in accordance with standards such as UL, CE, ISO, IEC, LV, and various OEM standards.\nCertification Management\nCoordinate with external accredited laboratories for formal certification and pre-compliance 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\nChampion continuous process improvement, develop necessary toolchains, and evolve the overall methodology for the Hardware V&V function.\n \nQualifications:\n10 + years in a HW V&V role.\n5+ years in a HW V&V leadership role.\nBachelor’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.\nWorking knowledge of AEC standards.\nAbility to adjust HW V&V Process to support various OEMs.\nDirect experience characterizing vehicles to set environmental and EMC requirements for new projects or OEMs.\n\nBonus/nice to have:\nExcellent ability to quickly understand an OEMs HW V&V DV/PV process and advise management of the level of effort, complexity, and costs of that specific PV relative to the process used by Waabi.\nExperience working in an Agile/Scrum environment.\nTechnical experience in developing self-driving vehicles. \nExperience with the NRTL (UL) certification.\nExperience with CE certification.\nExperience directly instrumenting cars and trucks to develop ENV and EMC requirements.\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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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
You will...
\n
\n- \n
Strategic Scaling and Team Leadership
\n\n- \n
Strategically scale Waabi’s Hardware V&V (Verification and Validation) capability to support rapid market growth and meet internal DV/PV standards or specific OEM requirements.
\n \n- \n
You will lead, mentor, and manage a high-performing team responsible for all V&V activities.
\n \n
\n \n- \n
V&V Execution and Quality Assurance
\n\n- \n
Oversee the planning and execution of comprehensive functional tests and performance evaluations on hardware prototypes.
\n \n- \n
Direct the team in identifying and troubleshooting issues related to hardware functionality, compatibility, and performance, ensuring high system reliability.
\n \n
\n \n- \n
Cross-Functional Collaboration
\n\n- \n
Collaborate closely with software engineers to ensure seamless hardware-software integration and compatibility throughout the testing process.
\n \n- \n
Document, communicate, and present detailed test results to cross-functional design teams to drive improvements.
\n \n
\n \n- \n
Regulatory Compliance and Certification
\n\n- \n
Manage all aspects of Compliance Testing and Certification.
\n \n- \n
Plan and execute critical compliance tests, including EMI/EMC, electrical safety, and environmental tests, in accordance with standards such as UL, CE, ISO, IEC, LV, and various OEM standards.
\n \n
\n \n- \n
Certification Management
\n\n- \n
Coordinate with external accredited laboratories for formal certification and pre-compliance testing.
\n \n- \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 \n- \n
Process and Toolchain Development
\n\n \n
\n
\n
\n
Qualifications:\n
\n- 10 + years in a HW V&V role.
\n- 5+ years in a HW V&V leadership role.
\n- 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.
\n- Working knowledge of AEC standards.
\n- Ability to adjust HW 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- Excellent ability to quickly understand an OEMs HW V&V DV/PV process and advise management of the level of effort, complexity, and costs of that specific PV relative to the process used by Waabi.
\n- Experience working in an Agile/Scrum environment.
\n- Technical experience in developing self-driving vehicles.
\n- Experience with the NRTL (UL) certification.
\n- Experience with CE certification.
\n- Experience directly instrumenting cars and trucks to develop ENV and EMC requirements.
\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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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
\n
You will...
\n
\n- \n
Strategic Scaling and Team Leadership
\n\n- \n
Strategically scale Waabi’s Hardware V&V (Verification and Validation) capability to support rapid market growth and meet internal DV/PV standards or specific OEM requirements.
\n \n- \n
You will lead, mentor, and manage a high-performing team responsible for all V&V activities.
\n \n
\n \n- \n
V&V Execution and Quality Assurance
\n\n- \n
Oversee the planning and execution of comprehensive functional tests and performance evaluations on hardware prototypes.
\n \n- \n
Direct the team in identifying and troubleshooting issues related to hardware functionality, compatibility, and performance, ensuring high system reliability.
\n \n
\n \n- \n
Cross-Functional Collaboration
\n\n- \n
Collaborate closely with software engineers to ensure seamless hardware-software integration and compatibility throughout the testing process.
\n \n- \n
Document, communicate, and present detailed test results to cross-functional design teams to drive improvements.
\n \n
\n \n- \n
Regulatory Compliance and Certification
\n\n- \n
Manage all aspects of Compliance Testing and Certification.
\n \n- \n
Plan and execute critical compliance tests, including EMI/EMC, electrical safety, and environmental tests, in accordance with standards such as UL, CE, ISO, IEC, LV, and various OEM standards.
\n \n
\n \n- \n
Certification Management
\n\n- \n
Coordinate with external accredited laboratories for formal certification and pre-compliance testing.
\n \n- \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 \n- \n
Process and Toolchain Development
\n\n \n
\n
\n
\n
Qualifications:\n
\n- 10 + years in a HW V&V role.
\n- 5+ years in a HW V&V leadership role.
\n- 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.
\n- Working knowledge of AEC standards.
\n- Ability to adjust HW 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- Excellent ability to quickly understand an OEMs HW V&V DV/PV process and advise management of the level of effort, complexity, and costs of that specific PV relative to the process used by Waabi.
\n- Experience working in an Agile/Scrum environment.
\n- Technical experience in developing self-driving vehicles.
\n- Experience with the NRTL (UL) certification.
\n- Experience with CE certification.
\n- Experience directly instrumenting cars and trucks to develop ENV and EMC requirements.
\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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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...\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 \nQualifications:\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.\nBonus:\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","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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
- 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
- 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
Bonus:
\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
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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
- 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
- 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
Bonus:
\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
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":"Hardware","location":"Pittsburgh, PA","team":"Mechanical Engineering","allLocations":["Pittsburgh, PA"]},"createdAt":1775008706274,"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- 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 the software team 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 \nQualifications:\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 \nBonus Qualifications:\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","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
- 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 the software team 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
Qualifications:
\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
Bonus Qualifications:
\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
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology 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
- 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 the software team 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
Qualifications:
\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
Bonus Qualifications:
\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
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":"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...\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.\nQualifications:\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.\nBonus Qualifications:\n- Autonomous Vehicle and/or automotive industry experience is a plus.\n- Surfacing 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
- 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
Qualifications:
\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
Bonus Qualifications:
\n
- Autonomous Vehicle and/or automotive industry experience is a plus.
\n
- Surfacing experience is a plus.
\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
- 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
Qualifications:
\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
Bonus Qualifications:
\n
- Autonomous Vehicle and/or automotive industry experience is a plus.
\n
- Surfacing experience is a plus.
\n
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- 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
\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...
- Create Autonomous Vehicle (AV) Requirements using analytical and numerical methods, with focus on motion planning, motion control and Vehicle Dynamics (VD).
- Own the definition and requirements development of the Motion Planning, Motion Control and low level vehicle control contract.
- Create methods and use physical and simulated data to inform and verify principled requirements
Advance VD simulation in AVs.
Qualifications:
- Strong foundation in AV systems in motion planning, motion control and VD and low level actuator control.
- Strong physics and control systems knowledge.
- Knowledge of Systems Engineering and Verification and Validation (V&V) best practices.
- Knowledge of functional safety standards (i.e. ISO 26262).
- Comprehensive coding skills in Python, or other common programming languages.
- Risk modeling, translating probabilistic safety goals into physical metrics, and quantifying system uncertainty (including correlated errors).
- Requirements decomposition from high-level safety goals into detailed, verifiable functional and technical requirements for a Level 4 AV system.
- Experience in VD simulation (use) and VD tools development (build).
Bonus:
- Applied and proven experience in building end to end motion planning and control systems systems.
- Commercial trucking actuator system and truck dynamics and control.
- Applied and proven experience of optimal control systems.
- A strong passion for robotics systems and an intuitive understanding of actual electro-mechanical problems in the context of self-driving or robotics.
- Coding in Rust and using build and test automation tools.
","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...
- Create Autonomous Vehicle (AV) Requirements using analytical and numerical methods, with focus on motion planning, motion control and Vehicle Dynamics (VD).
- Own the definition and requirements development of the Motion Planning, Motion Control and low level vehicle control contract.
- Create methods and use physical and simulated data to inform and verify principled requirements
Advance VD simulation in AVs.
Qualifications:
- Strong foundation in AV systems in motion planning, motion control and VD and low level actuator control.
- Strong physics and control systems knowledge.
- Knowledge of Systems Engineering and Verification and Validation (V&V) best practices.
- Knowledge of functional safety standards (i.e. ISO 26262).
- Comprehensive coding skills in Python, or other common programming languages.
- Risk modeling, translating probabilistic safety goals into physical metrics, and quantifying system uncertainty (including correlated errors).
- Requirements decomposition from high-level safety goals into detailed, verifiable functional and technical requirements for a Level 4 AV system.
- Experience in VD simulation (use) and VD tools development (build).
Bonus:
- Applied and proven experience in building end to end motion planning and control systems systems.
- Commercial trucking actuator system and truck dynamics and control.
- Applied and proven experience of optimal control systems.
- A strong passion for robotics systems and an intuitive understanding of actual electro-mechanical problems in the context of self-driving or robotics.
- Coding in Rust and using build and test automation tools.
","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:\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!\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- 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!
\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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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...\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 \nQualifications:\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 \nBonus/nice to have:\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","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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- 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
\nQualifications:
\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
\nBonus/nice to have:
\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.
","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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- 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
\nQualifications:
\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
\nBonus/nice to have:
\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.
","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...\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 \nQualifications:\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 \nBonus/nice to have:\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","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: $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:\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":"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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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","Remote US & Canada"]},"createdAt":1776893853974,"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 Calibration, you will create the next generation of calibration systems autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable calibration and monitoring solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation.\n \nYou will…\n- Be part of a multidisciplinary team of Engineers and Scientists working on a scalable system to produce fast, accurate calibration for a wide array of sensing modalities (e.g. camera, lidar, radar, IMU, GNSS).\n- Develop the next generation of calibration algorithms leveraging classical and learning-based approaches in 3D geometry with a focus on robustness, compute efficiency, and safety-critical accuracy.\n- Design and implement real-time calibration integrity monitoring algorithms to ensure safe autonomous driving on a diverse fleet of vehicles.\n- Coordinate large-scale deployment of the calibration of an entire fleet of autonomous vehicles.\n \nQualifications:\n- Deep knowledge in calibration problems. You have prior experience fusing multi-sensor systems, from posing and modeling hidden sensor parameters, to evaluating calibration quality. You should understand how to leverage classical algorithms (e.g. ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting) to solve the calibration problem.\n- Understanding of sensor modelling. You know how various sensor modalities work from a physical perspective and understand how different modelling assumptions will impact data interpretation and the final calibration. You have the ability to investigate the calibration issues down to the sensor hardware level to root cause issues.\n- Shipping Production Software. You have experience in reading and developing production quality software, versus only creating prototypes and proofs of concept.\n- Strong software engineering fundamentals. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust), and are comfortable with Python interop.\n \nBonus:\n- Experience with building and managing complex data pipelines.\n- Experience working on real-time state estimation integrity monitoring.\n- Solid knowledge in performance profiling and optimization.\n- Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.\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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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 Calibration, you will create the next generation of calibration systems autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable calibration and monitoring solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation.
\n
\n
You will…
\n
- Be part of a multidisciplinary team of Engineers and Scientists working on a scalable system to produce fast, accurate calibration for a wide array of sensing modalities (e.g. camera, lidar, radar, IMU, GNSS).
\n
- Develop the next generation of calibration algorithms leveraging classical and learning-based approaches in 3D geometry with a focus on robustness, compute efficiency, and safety-critical accuracy.
\n
- Design and implement real-time calibration integrity monitoring algorithms to ensure safe autonomous driving on a diverse fleet of vehicles.
\n
- Coordinate large-scale deployment of the calibration of an entire fleet of autonomous vehicles.
\n
\n
Qualifications:
\n
- Deep knowledge in calibration problems. You have prior experience fusing multi-sensor systems, from posing and modeling hidden sensor parameters, to evaluating calibration quality. You should understand how to leverage classical algorithms (e.g. ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting) to solve the calibration problem.
\n
- Understanding of sensor modelling. You know how various sensor modalities work from a physical perspective and understand how different modelling assumptions will impact data interpretation and the final calibration. You have the ability to investigate the calibration issues down to the sensor hardware level to root cause issues.
\n
- Shipping Production Software. You have experience in reading and developing production quality software, versus only creating prototypes and proofs of concept.
\n
- Strong software engineering fundamentals. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust), and are comfortable with Python interop.
\n
\n
Bonus:
\n
- Experience with building and managing complex data pipelines.
\n
- Experience working on real-time state estimation integrity monitoring.
\n
- Solid knowledge in performance profiling and optimization.
\n
- Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.
\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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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 Calibration, you will create the next generation of calibration systems autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable calibration and monitoring solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation.
\n
\n
You will…
\n
- Be part of a multidisciplinary team of Engineers and Scientists working on a scalable system to produce fast, accurate calibration for a wide array of sensing modalities (e.g. camera, lidar, radar, IMU, GNSS).
\n
- Develop the next generation of calibration algorithms leveraging classical and learning-based approaches in 3D geometry with a focus on robustness, compute efficiency, and safety-critical accuracy.
\n
- Design and implement real-time calibration integrity monitoring algorithms to ensure safe autonomous driving on a diverse fleet of vehicles.
\n
- Coordinate large-scale deployment of the calibration of an entire fleet of autonomous vehicles.
\n
\n
Qualifications:
\n
- Deep knowledge in calibration problems. You have prior experience fusing multi-sensor systems, from posing and modeling hidden sensor parameters, to evaluating calibration quality. You should understand how to leverage classical algorithms (e.g. ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting) to solve the calibration problem.
\n
- Understanding of sensor modelling. You know how various sensor modalities work from a physical perspective and understand how different modelling assumptions will impact data interpretation and the final calibration. You have the ability to investigate the calibration issues down to the sensor hardware level to root cause issues.
\n
- Shipping Production Software. You have experience in reading and developing production quality software, versus only creating prototypes and proofs of concept.
\n
- Strong software engineering fundamentals. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust), and are comfortable with Python interop.
\n
\n
Bonus:
\n
- Experience with building and managing complex data pipelines.
\n
- Experience working on real-time state estimation integrity monitoring.
\n
- Solid knowledge in performance profiling and optimization.
\n
- Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.
\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: $159,000 - $296,000 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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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":1741061639461,"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 engineer for Learnable Planner you will support integration of new AI technologies into our autonomy/planner stack 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- Integrate cutting-edge ML models in production planning stack from development to validation, deployment, and monitoring\n- Develop necessary interfaces and pipelines in simulation for testing prototype or production planning models\n- Work closely with motion planning sub-teams and research scientists to improve our planner architecture and develop rich and novel representations that can facilitate end-to-end solutions\n- Champion engineering excellence, ensuring high-quality, well structured and tested code.\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 in machine learning, computer science, engineering, or a related field. Exceptional Bachelor’s students will also be considered.\n- Experience in ML-based or classical techniques for planning/decision making (e.g., imitation and reinforcement learning, optimization-based approaches, search methods, probabilistic reasoning).\n- Passion for taking research ideas and turning them into practical solutions for real-world applications.\n- Open-minded and collaborative team player with willingness to help others.\n- Solid understanding of computing fundamentals, including code efficiency.\n- Experience in deep learning frameworks such as PyTorch.\n- Proficiency in Python, Rust, C++ and/or CUDA.\n \nBonus/nice to have:\n- Experience deploying ML/DL models to a production motion planning or related robotics stack.\n- Experience in iterating on a model including evaluation, introspection and fine-tuning.\n- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.\n- Comfortable with model compilation and exporting, lower level concepts like TensorRT, CUDA kernels.\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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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 engineer for Learnable Planner you will support integration of new AI technologies into our autonomy/planner stack 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- Integrate cutting-edge ML models in production planning stack from development to validation, deployment, and monitoring
\n- Develop necessary interfaces and pipelines in simulation for testing prototype or production planning models
\n- Work closely with motion planning sub-teams and research scientists to improve our planner architecture and develop rich and novel representations that can facilitate end-to-end solutions
\n- Champion engineering excellence, ensuring high-quality, well structured and tested code.
\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 in machine learning, computer science, engineering, or a related field. Exceptional Bachelor’s students will also be considered.
\n- Experience in ML-based or classical techniques for planning/decision making (e.g., imitation and reinforcement learning, optimization-based approaches, search methods, probabilistic reasoning).
\n- Passion for taking research ideas and turning them into practical solutions for real-world applications.
\n- Open-minded and collaborative team player with willingness to help others.
\n- Solid understanding of computing fundamentals, including code efficiency.
\n- Experience in deep learning frameworks such as PyTorch.
\n- Proficiency in Python, Rust, C++ and/or CUDA.
\n
\nBonus/nice to have:
\n- Experience deploying ML/DL models to a production motion planning or related robotics stack.
\n- Experience in iterating on a model including evaluation, introspection and fine-tuning.
\n- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.
\n- Comfortable with model compilation and exporting, lower level concepts like TensorRT, CUDA kernels.
","id":"30f77194-6f1c-4ee2-8bb9-0eb9763250af","lists":[],"text":"Research Engineer, Learnable Planner (Integration)","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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 engineer for Learnable Planner you will support integration of new AI technologies into our autonomy/planner stack 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- Integrate cutting-edge ML models in production planning stack from development to validation, deployment, and monitoring
\n- Develop necessary interfaces and pipelines in simulation for testing prototype or production planning models
\n- Work closely with motion planning sub-teams and research scientists to improve our planner architecture and develop rich and novel representations that can facilitate end-to-end solutions
\n- Champion engineering excellence, ensuring high-quality, well structured and tested code.
\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 in machine learning, computer science, engineering, or a related field. Exceptional Bachelor’s students will also be considered.
\n- Experience in ML-based or classical techniques for planning/decision making (e.g., imitation and reinforcement learning, optimization-based approaches, search methods, probabilistic reasoning).
\n- Passion for taking research ideas and turning them into practical solutions for real-world applications.
\n- Open-minded and collaborative team player with willingness to help others.
\n- Solid understanding of computing fundamentals, including code efficiency.
\n- Experience in deep learning frameworks such as PyTorch.
\n- Proficiency in Python, Rust, C++ and/or CUDA.
\n
\nBonus/nice to have:
\n- Experience deploying ML/DL models to a production motion planning or related robotics stack.
\n- Experience in iterating on a model including evaluation, introspection and fine-tuning.
\n- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.
\n- Comfortable with model compilation and exporting, lower level concepts like TensorRT, CUDA kernels.
","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 engineer for Learnable Planner you will support integration of new AI technologies into our autonomy/planner stack 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- Integrate cutting-edge ML models in production planning stack from development to validation, deployment, and monitoring\n- Develop necessary interfaces and pipelines in simulation for testing prototype or production planning models\n- Work closely with motion planning sub-teams and research scientists to improve our planner architecture and develop rich and novel representations that can facilitate end-to-end solutions\n- Champion engineering excellence, ensuring high-quality, well structured and tested code.\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 in machine learning, computer science, engineering, or a related field. Exceptional Bachelor’s students will also be considered.\n- Experience in ML-based or classical techniques for planning/decision making (e.g., imitation and reinforcement learning, optimization-based approaches, search methods, probabilistic reasoning).\n- Passion for taking research ideas and turning them into practical solutions for real-world applications.\n- Open-minded and collaborative team player with willingness to help others.\n- Solid understanding of computing fundamentals, including code efficiency.\n- Experience in deep learning frameworks such as PyTorch.\n- Proficiency in Python, Rust, C++ and/or CUDA.\n \nBonus/nice to have:\n- Experience deploying ML/DL models to a production motion planning or related robotics stack.\n- Experience in iterating on a model including evaluation, introspection and fine-tuning.\n- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.\n- Comfortable with model compilation and exporting, lower level concepts like TensorRT, CUDA kernels.\n","country":null,"hostedUrl":"https://jobs.lever.co/waabi/30f77194-6f1c-4ee2-8bb9-0eb9763250af","applyUrl":"https://jobs.lever.co/waabi/30f77194-6f1c-4ee2-8bb9-0eb9763250af/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:\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":"- 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- 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":"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…\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 \nQualifications:\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","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- 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
\nQualifications:
\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.
","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- 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
\nQualifications:
\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.
","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…\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 \nQualifications:\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","hostedUrl":"https://jobs.lever.co/waabi/99147e5e-c589-452b-87c1-789cbc4f3de8","applyUrl":"https://jobs.lever.co/waabi/99147e5e-c589-452b-87c1-789cbc4f3de8/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":"\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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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.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…\n- Design, 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\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 \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 \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 \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 \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 \nBonus:\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","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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.
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…
\n- Design, implement, and scale state-of-the-art generative and predictive world-modeling systems:
\n\n
\n- \n
Video generation and prediction
\n \n- \n
Latent diffusion / autoregressive / flow-matching models
\n \n- \n
multimodal foundation models for driving scenes
\n \n- \n
LLM / VLM / VLA methods for scene understanding, reasoning, and control
\n \n- \n
Generative scenario modeling and controllable simulation
\n \n- \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
\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
\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
\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
\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
\nBonus:
\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)
","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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.
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…
\n- Design, implement, and scale state-of-the-art generative and predictive world-modeling systems:
\n\n
\n- \n
Video generation and prediction
\n \n- \n
Latent diffusion / autoregressive / flow-matching models
\n \n- \n
multimodal foundation models for driving scenes
\n \n- \n
LLM / VLM / VLA methods for scene understanding, reasoning, and control
\n \n- \n
Generative scenario modeling and controllable simulation
\n \n- \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
\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
\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
\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
\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
\nBonus:
\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)
","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.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…\n- Design, 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\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 \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 \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 \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 \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 \nBonus:\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","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:\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\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.
Perks/Benefits:
Waabi provides a competitive benefits package that includes:
- Daily drinks, snacks and catered meals (when in office)
- Regularly scheduled team building activities and social events
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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":"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\nWaabi, 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. To learn more visit: www.waabi.ai \n\nYou will...\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\nQualifications:\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\nApplication Instructions:\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","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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, 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.
With 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. To learn more visit: www.waabi.ai
You will...
- Be part of a team of multidisciplinary Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale.
- 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.
- Design, implement, train, and optimize novel algorithms on self-driving vehicles and various production systems.
- 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.
Qualifications:
- Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study.
- Demonstrated research/software engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers.
- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
- Proficient in reading and coding in Python and/or C++..
- Open-minded and collaborative team player with willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Application Instructions:
- To be considered for an internship/co-op, please add your most up to date academic transcripts alongside with your resume for further review.
","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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, 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.
With 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. To learn more visit: www.waabi.ai
You will...
- Be part of a team of multidisciplinary Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale.
- 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.
- Design, implement, train, and optimize novel algorithms on self-driving vehicles and various production systems.
- 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.
Qualifications:
- Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study.
- Demonstrated research/software engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers.
- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
- Proficient in reading and coding in Python and/or C++..
- Open-minded and collaborative team player with willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Application Instructions:
- To be considered for an internship/co-op, please add your most up to date academic transcripts alongside with your resume for further review.
","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. To learn more visit: www.waabi.ai \n\nYou will...\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\nQualifications:\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\nApplication Instructions:\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","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:\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":"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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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...\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 \nQualifications:\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 \nBonus Points:\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","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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- 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
\nQualifications:
\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
\nBonus Points:
\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.
","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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- 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
\nQualifications:
\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
\nBonus Points:
\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.
","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...\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 \nQualifications:\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 \nBonus Points:\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","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:\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":"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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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...\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 \nQualifications:\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 \nBonus/nice to have:\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","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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- 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
\nQualifications:
\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\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.
","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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- 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
\nQualifications:
\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\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.
","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...\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 \nQualifications:\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 \nBonus/nice to have:\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","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":"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":"\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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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 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.
\n
\n
This 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.
\n
\n
You will…
\n
- Conduct fundamental and applied research in neural reconstruction, including:
\n
• 3DGS / NeRF
\n
• Dynamic scene reconstruction
\n
• Feed-forward reconstruction
\n
• Multi-sensor scene representation learning
\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
Qualifications:
\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
Bonus:
\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
• 3DGS / NeRF / neural rendering
\n
• 3D / 4D reconstruction
\n
• Generalizable reconstruction
\n
• Geometry-aware or multi-sensor representation learning
\n
- Experience working with camera, LiDAR, maps, and large-scale driving datasets.
\n
- Strong background in graphics, geometry, rendering systems, or simulation.
\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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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 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.
\n
\n
This 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.
\n
\n
You will…
\n
- Conduct fundamental and applied research in neural reconstruction, including:
\n
• 3DGS / NeRF
\n
• Dynamic scene reconstruction
\n
• Feed-forward reconstruction
\n
• Multi-sensor scene representation learning
\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
Qualifications:
\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
Bonus:
\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
• 3DGS / NeRF / neural rendering
\n
• 3D / 4D reconstruction
\n
• Generalizable reconstruction
\n
• Geometry-aware or multi-sensor representation learning
\n
- Experience working with camera, LiDAR, maps, and large-scale driving datasets.
\n
- Strong background in graphics, geometry, rendering systems, or simulation.
\n
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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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...\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 \nQualifications:\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 \nBonus:\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","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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- 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
\nQualifications:
\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
\nBonus:
\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.
","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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- 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
\nQualifications:
\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
\nBonus:
\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.
","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...\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 \nQualifications:\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 \nBonus:\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","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:\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":"\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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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…\n- Conduct fundamental and applied research in generative and predictive world-modeling\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- 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\nQualifications:\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 \nBonus:\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","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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
- Conduct fundamental and applied research in generative and predictive world-modeling
\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
- 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
Qualifications:
\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
Bonus:
\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
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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
- Conduct fundamental and applied research in generative and predictive world-modeling
\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
- 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
Qualifications:
\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
Bonus:
\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
The US yearly salary range for this role is: $126,225 - 163,00 USD and the Canada salary range for this role is: $154,000 - $188,500 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- 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
\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":"San Francisco, CA","team":"Safety","allLocations":["San Francisco, CA","Remote US","Remote Canada","Pittsburgh, PA","Phoenix, AZ","Dallas, TX","Toronto, ON"]},"createdAt":1768958277596,"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 \n \nYou will…\n- Scale safety framework methods by defining requirements for automated assessment workflows and partnering with the autonomy and algorithms teams to implement and debug the evaluation infrastructure.\n- Develop and monitor quantitative metrics to evaluate system performance against established safety targets.\n- Optimize test coverage within Waabi’s high-fidelity simulator to validate driving behaviors across safety-critical scenarios.\n- Define and iterate on human performance benchmarks to support robust comparative safety assessments.\n- Identify safety gaps and ensure traceability between requirements, validation artifacts, and safety case claims.\n- Maintain structured documentation of safety artifacts and readiness decisions to ensure rigorous transparency and traceability.\n \nQualifications:\n- Undergrad required; Masters or PhD within an engineering discipline preferred.\n- 3+ years of automotive, robotics or related industry experience.\n- Experience contributing to the development of a safety case for autonomous vehicles.\n- Experience with using simulation and real-world testing to make readiness decisions.\n- Knowledge of relevant safety methods and standards such as STPA, SOTIF (ISO 21448), ISO/SAE PAS 22736, and UL 4600.\n- Strong fundamentals in mathematics, engineering and physics.\n- Excellent scripting and data analysis skills with tools such as Python and SQL.\n- Ability to communicate complex concepts or data in a simple-yet-accurate manner.\n- Collaborative team player who works effectively across functional boundaries.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus/nice to have:\n- Experience in launching a driverless product.\n- Experience in data science and machine learning\n- Experience implementing software systems components.\n- Advanced skills in data mining, mathematics, and statistical analysis.\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
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
\n
\nYou will…
\n- Scale safety framework methods by defining requirements for automated assessment workflows and partnering with the autonomy and algorithms teams to implement and debug the evaluation infrastructure.
\n- Develop and monitor quantitative metrics to evaluate system performance against established safety targets.
\n- Optimize test coverage within Waabi’s high-fidelity simulator to validate driving behaviors across safety-critical scenarios.
\n- Define and iterate on human performance benchmarks to support robust comparative safety assessments.
\n- Identify safety gaps and ensure traceability between requirements, validation artifacts, and safety case claims.
\n- Maintain structured documentation of safety artifacts and readiness decisions to ensure rigorous transparency and traceability.
\n
\nQualifications:
\n- Undergrad required; Masters or PhD within an engineering discipline preferred.
\n- 3+ years of automotive, robotics or related industry experience.
\n- Experience contributing to the development of a safety case for autonomous vehicles.
\n- Experience with using simulation and real-world testing to make readiness decisions.
\n- Knowledge of relevant safety methods and standards such as STPA, SOTIF (ISO 21448), ISO/SAE PAS 22736, and UL 4600.
\n- Strong fundamentals in mathematics, engineering and physics.
\n- Excellent scripting and data analysis skills with tools such as Python and SQL.
\n- Ability to communicate complex concepts or data in a simple-yet-accurate manner.
\n- Collaborative team player who works effectively across functional boundaries.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\nBonus/nice to have:
\n- Experience in launching a driverless product.
\n- Experience in data science and machine learning
\n- Experience implementing software systems components.
\n- Advanced skills in data mining, mathematics, and statistical analysis.
\n
","id":"e5808322-48cf-45f8-856b-2e260968d8b0","lists":[],"text":"Safety Engineer, Collision Risk","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":"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
\n
\nYou will…
\n- Scale safety framework methods by defining requirements for automated assessment workflows and partnering with the autonomy and algorithms teams to implement and debug the evaluation infrastructure.
\n- Develop and monitor quantitative metrics to evaluate system performance against established safety targets.
\n- Optimize test coverage within Waabi’s high-fidelity simulator to validate driving behaviors across safety-critical scenarios.
\n- Define and iterate on human performance benchmarks to support robust comparative safety assessments.
\n- Identify safety gaps and ensure traceability between requirements, validation artifacts, and safety case claims.
\n- Maintain structured documentation of safety artifacts and readiness decisions to ensure rigorous transparency and traceability.
\n
\nQualifications:
\n- Undergrad required; Masters or PhD within an engineering discipline preferred.
\n- 3+ years of automotive, robotics or related industry experience.
\n- Experience contributing to the development of a safety case for autonomous vehicles.
\n- Experience with using simulation and real-world testing to make readiness decisions.
\n- Knowledge of relevant safety methods and standards such as STPA, SOTIF (ISO 21448), ISO/SAE PAS 22736, and UL 4600.
\n- Strong fundamentals in mathematics, engineering and physics.
\n- Excellent scripting and data analysis skills with tools such as Python and SQL.
\n- Ability to communicate complex concepts or data in a simple-yet-accurate manner.
\n- Collaborative team player who works effectively across functional boundaries.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\nBonus/nice to have:
\n- Experience in launching a driverless product.
\n- Experience in data science and machine learning
\n- Experience implementing software systems components.
\n- Advanced skills in data mining, mathematics, and 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 \n \nYou will…\n- Scale safety framework methods by defining requirements for automated assessment workflows and partnering with the autonomy and algorithms teams to implement and debug the evaluation infrastructure.\n- Develop and monitor quantitative metrics to evaluate system performance against established safety targets.\n- Optimize test coverage within Waabi’s high-fidelity simulator to validate driving behaviors across safety-critical scenarios.\n- Define and iterate on human performance benchmarks to support robust comparative safety assessments.\n- Identify safety gaps and ensure traceability between requirements, validation artifacts, and safety case claims.\n- Maintain structured documentation of safety artifacts and readiness decisions to ensure rigorous transparency and traceability.\n \nQualifications:\n- Undergrad required; Masters or PhD within an engineering discipline preferred.\n- 3+ years of automotive, robotics or related industry experience.\n- Experience contributing to the development of a safety case for autonomous vehicles.\n- Experience with using simulation and real-world testing to make readiness decisions.\n- Knowledge of relevant safety methods and standards such as STPA, SOTIF (ISO 21448), ISO/SAE PAS 22736, and UL 4600.\n- Strong fundamentals in mathematics, engineering and physics.\n- Excellent scripting and data analysis skills with tools such as Python and SQL.\n- Ability to communicate complex concepts or data in a simple-yet-accurate manner.\n- Collaborative team player who works effectively across functional boundaries.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus/nice to have:\n- Experience in launching a driverless product.\n- Experience in data science and machine learning\n- Experience implementing software systems components.\n- Advanced skills in data mining, mathematics, and statistical analysis.\n \n","hostedUrl":"https://jobs.lever.co/waabi/e5808322-48cf-45f8-856b-2e260968d8b0","applyUrl":"https://jobs.lever.co/waabi/e5808322-48cf-45f8-856b-2e260968d8b0/apply"},{"additionalPlain":"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.\n\n\nPerks/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":"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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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 \n \nYou will...\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 \nQualifications:\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.\nBonus/nice to have:\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","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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.
\n
\nYou will...
\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
\nQualifications:
\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.
\nBonus/nice to have:
\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
","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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.
\n
\nYou will...
\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
\nQualifications:
\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.
\nBonus/nice to have:
\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
","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 \n \nYou will...\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 \nQualifications:\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.\nBonus/nice to have:\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","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: $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.\n","additional":"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 Software 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…\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\nQualifications:\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\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.
You will…
- Implement low-level, safety critical embedded software for truck control functions such as engine control, steering and braking.
- Integrate sensors and vehicle actuation feedback with our localization and control systems in order to implement redundant safety features.
- Collaborate with our hardware, safety and systems teams on design, build and validation of highly reliable next generation systems.
- Develop software according to industry-best practices for safe, reliable and robust code.
- Support the bring up and operation of the autonomous platform, both remotely and on-site.
- Work with our other software and autonomy engineers on implementing the low-level functions necessary to drive success in the autonomous vehicle field.
Qualifications:
- 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.
- A developer who cares about building beautiful (but pragmatic) reusable embedded code and the systems to test and maintain that code.
- 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).
- Experienced working on safety-critical, hi-reliability software projects following relevant industry safety standards.
Requirements: 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.
You will…
- Implement low-level, safety critical embedded software for truck control functions such as engine control, steering and braking.
- Integrate sensors and vehicle actuation feedback with our localization and control systems in order to implement redundant safety features.
- Collaborate with our hardware, safety and systems teams on design, build and validation of highly reliable next generation systems.
- Develop software according to industry-best practices for safe, reliable and robust code.
- Support the bring up and operation of the autonomous platform, both remotely and on-site.
- Work with our other software and autonomy engineers on implementing the low-level functions necessary to drive success in the autonomous vehicle field.
Qualifications:
- 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.
- A developer who cares about building beautiful (but pragmatic) reusable embedded code and the systems to test and maintain that code.
- 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).
- Experienced working on safety-critical, hi-reliability software projects following relevant industry safety standards.
Requirements: 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…\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\nQualifications:\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\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":"- The US yearly salary range for this role is: $155,000 - $269,000 USD\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:\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":"- The US yearly salary range for this role is: $155,000 - $269,000 USD
\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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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":1752187126167,"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 Graphics Software Engineer, you will create the next generation of multi-sensor rendering software 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- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge multi-sensor simulation stack leveraging graphics, computer vision, and machine learning.\n- Design and implement core rendering technology for simulating cameras, LiDARs, and RADARs by mixing traditional real-time rendering with neural rendering, 3D Gaussian Splatting, generative 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 publish high-impact research at top conferences (CVPR, ECCV, ICCV, SIGGRAPH, NeurIPS, ICLR, ICRA).\n \nQualifications:\n- Real-time graphics experience. You’ve spent a minimum of three years shipping real-time rendering projects, and you have extensive experience in at least one GPU API (Vulkan, DirectX, OpenGL, or similar).\n- Familiarity with GPU optimization. You have a deep understanding of GPU performance, and you know how to use instrumentation and tracing tools like NSight, Tracy, or Renderdoc to identify and address bottlenecks.\n- Strong software engineering fundamentals. You write efficient and maintainable code in systems languages such as C++ or Rust, and you are proficient in at least one shading language (GLSL, HLSL, WGSL, etc.).\n- A passion for building worlds. Whether you've worked on AAA games, indie titles, or complex robotics simulators, you have experience creating and working within interactive 3D environments.\n \nBonus/nice to have:\n- Experience in working with robotics and other autonomous systems.\n- Experience with accelerated computing like CUDA, OpenCL, and Vulkan compute pipelines.\n- Experience with accelerated raytracing (Nvidia OptiX, Vulkan Raytracing, DXR, etc.).\n- Experience with Python and deep learning frameworks like PyTorch, JAX, or TensorFlow.\n- Experience with neural rendering (NeRF, Gaussian Splatting, etc.).\n- Experience working in cloud computing environments, e.g., launching and debugging GPU jobs in the cloud.\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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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 Graphics Software Engineer, you will create the next generation of multi-sensor rendering software 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- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge multi-sensor simulation stack leveraging graphics, computer vision, and machine learning.
\n- Design and implement core rendering technology for simulating cameras, LiDARs, and RADARs by mixing traditional real-time rendering with neural rendering, 3D Gaussian Splatting, generative 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 publish high-impact research at top conferences (CVPR, ECCV, ICCV, SIGGRAPH, NeurIPS, ICLR, ICRA).
\n
\nQualifications:
\n- Real-time graphics experience. You’ve spent a minimum of three years shipping real-time rendering projects, and you have extensive experience in at least one GPU API (Vulkan, DirectX, OpenGL, or similar).
\n- Familiarity with GPU optimization. You have a deep understanding of GPU performance, and you know how to use instrumentation and tracing tools like NSight, Tracy, or Renderdoc to identify and address bottlenecks.
\n- Strong software engineering fundamentals. You write efficient and maintainable code in systems languages such as C++ or Rust, and you are proficient in at least one shading language (GLSL, HLSL, WGSL, etc.).
\n- A passion for building worlds. Whether you've worked on AAA games, indie titles, or complex robotics simulators, you have experience creating and working within interactive 3D environments.
\n
\nBonus/nice to have:
\n- Experience in working with robotics and other autonomous systems.
\n- Experience with accelerated computing like CUDA, OpenCL, and Vulkan compute pipelines.
\n- Experience with accelerated raytracing (Nvidia OptiX, Vulkan Raytracing, DXR, etc.).
\n- Experience with Python and deep learning frameworks like PyTorch, JAX, or TensorFlow.
\n- Experience with neural rendering (NeRF, Gaussian Splatting, etc.).
\n- Experience working in cloud computing environments, e.g., launching and debugging GPU jobs in the cloud.
","id":"562aa158-f9c9-4ca4-bfaa-50a62d7e498c","lists":[],"text":"Senior / Staff Graphics 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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 Graphics Software Engineer, you will create the next generation of multi-sensor rendering software 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- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge multi-sensor simulation stack leveraging graphics, computer vision, and machine learning.
\n- Design and implement core rendering technology for simulating cameras, LiDARs, and RADARs by mixing traditional real-time rendering with neural rendering, 3D Gaussian Splatting, generative 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 publish high-impact research at top conferences (CVPR, ECCV, ICCV, SIGGRAPH, NeurIPS, ICLR, ICRA).
\n
\nQualifications:
\n- Real-time graphics experience. You’ve spent a minimum of three years shipping real-time rendering projects, and you have extensive experience in at least one GPU API (Vulkan, DirectX, OpenGL, or similar).
\n- Familiarity with GPU optimization. You have a deep understanding of GPU performance, and you know how to use instrumentation and tracing tools like NSight, Tracy, or Renderdoc to identify and address bottlenecks.
\n- Strong software engineering fundamentals. You write efficient and maintainable code in systems languages such as C++ or Rust, and you are proficient in at least one shading language (GLSL, HLSL, WGSL, etc.).
\n- A passion for building worlds. Whether you've worked on AAA games, indie titles, or complex robotics simulators, you have experience creating and working within interactive 3D environments.
\n
\nBonus/nice to have:
\n- Experience in working with robotics and other autonomous systems.
\n- Experience with accelerated computing like CUDA, OpenCL, and Vulkan compute pipelines.
\n- Experience with accelerated raytracing (Nvidia OptiX, Vulkan Raytracing, DXR, etc.).
\n- Experience with Python and deep learning frameworks like PyTorch, JAX, or TensorFlow.
\n- Experience with neural rendering (NeRF, Gaussian Splatting, etc.).
\n- Experience working in cloud computing environments, e.g., launching and debugging GPU jobs in the cloud.
","descriptionBodyPlain":"As a Graphics Software Engineer, you will create the next generation of multi-sensor rendering software 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- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge multi-sensor simulation stack leveraging graphics, computer vision, and machine learning.\n- Design and implement core rendering technology for simulating cameras, LiDARs, and RADARs by mixing traditional real-time rendering with neural rendering, 3D Gaussian Splatting, generative 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 publish high-impact research at top conferences (CVPR, ECCV, ICCV, SIGGRAPH, NeurIPS, ICLR, ICRA).\n \nQualifications:\n- Real-time graphics experience. You’ve spent a minimum of three years shipping real-time rendering projects, and you have extensive experience in at least one GPU API (Vulkan, DirectX, OpenGL, or similar).\n- Familiarity with GPU optimization. You have a deep understanding of GPU performance, and you know how to use instrumentation and tracing tools like NSight, Tracy, or Renderdoc to identify and address bottlenecks.\n- Strong software engineering fundamentals. You write efficient and maintainable code in systems languages such as C++ or Rust, and you are proficient in at least one shading language (GLSL, HLSL, WGSL, etc.).\n- A passion for building worlds. Whether you've worked on AAA games, indie titles, or complex robotics simulators, you have experience creating and working within interactive 3D environments.\n \nBonus/nice to have:\n- Experience in working with robotics and other autonomous systems.\n- Experience with accelerated computing like CUDA, OpenCL, and Vulkan compute pipelines.\n- Experience with accelerated raytracing (Nvidia OptiX, Vulkan Raytracing, DXR, etc.).\n- Experience with Python and deep learning frameworks like PyTorch, JAX, or TensorFlow.\n- Experience with neural rendering (NeRF, Gaussian Splatting, etc.).\n- Experience working in cloud computing environments, e.g., launching and debugging GPU jobs in the cloud.\n","hostedUrl":"https://jobs.lever.co/waabi/562aa158-f9c9-4ca4-bfaa-50a62d7e498c","applyUrl":"https://jobs.lever.co/waabi/562aa158-f9c9-4ca4-bfaa-50a62d7e498c/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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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":1763052383219,"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 in 2026, the Infrastructure team will be challenging ourselves to improve our ML infrastructure both in scale and efficiency while ensuring additional systems supporting the company’s engineering and research efforts are running top notch. We’re looking for a candidate who has extensive experience in designing, implementing and troubleshooting physical computers and networks while being able to work with cloud systems where necessary. The ideal candidate would work closely with the hardware team to collaboratively design and implement vehicle computers and networks. The successful candidate will also actively contribute to our physical infrastructure to advance machine learning efforts, CI systems, and software delivery.\n \nYou will...\n- Work alongside a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.\n- Collaborate with hardware team on vehicle compute and network designs and implementation.\n- Work with software and hardware teams on OS and software delivery into vehicles.\n- Assist with vehicle compute and network performance tuning and diagnostics as needed.\n- Work with software and hardware teams to implement and maintain high volume data pipelines.\n- Work on multiple projects designing, building, deploying tools, systems and infrastructure to support vehicle development.\n- Design and implement high performance physical networks and computing systems.\n \nQualifications:\n- BS, MS/PhD in Computer Science or similar technical field of study or equivalent practical experience.\n- 5+ years of relevant industry experience.\n- Deep understanding of computer and network hardware and how detailed selection affects performance and reliability.\n- Experience with on-premise servers, network equipment and storage systems.\n- Experience in Linux and Linux kernel (packaging, performance tuning, low level debugging, hardening).\n- Experience with configuration management (Ansible preferred) and system administration.\n- Familiarity with security concepts, access management, and data security.\n- Experience with containers and container orchestration (i.e., Docker, Kubernetes).\n- Experience with high performance network design and debugging.\n- Experience with CI/CD pipelines and release management.\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- Experience working in an Agile/Scrum environment- Able to travel occasionally to United States.\n \nBonus:\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 (Terraform preferred).\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- Experience in common ML tools, workflows and frameworks (i.e. systems like Kubeflow or MLFlow).\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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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 in 2026, the Infrastructure team will be challenging ourselves to improve our ML infrastructure both in scale and efficiency while ensuring additional systems supporting the company’s engineering and research efforts are running top notch. We’re looking for a candidate who has extensive experience in designing, implementing and troubleshooting physical computers and networks while being able to work with cloud systems where necessary. The ideal candidate would work closely with the hardware team to collaboratively design and implement vehicle computers and networks. The successful candidate will also actively contribute to our physical infrastructure to advance machine learning efforts, CI systems, and software delivery.
\n
\nYou will...
\n- Work alongside a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
\n- Collaborate with hardware team on vehicle compute and network designs and implementation.
\n- Work with software and hardware teams on OS and software delivery into vehicles.
\n- Assist with vehicle compute and network performance tuning and diagnostics as needed.
\n- Work with software and hardware teams to implement and maintain high volume data pipelines.
\n- Work on multiple projects designing, building, deploying tools, systems and infrastructure to support vehicle development.
\n- Design and implement high performance physical networks and computing systems.
\n
\nQualifications:
\n- BS, MS/PhD in Computer Science or similar technical field of study or equivalent practical experience.
\n- 5+ years of relevant industry experience.
\n- Deep understanding of computer and network hardware and how detailed selection affects performance and reliability.
\n- Experience with on-premise servers, network equipment and storage systems.
\n- Experience in Linux and Linux kernel (packaging, performance tuning, low level debugging, hardening).
\n- Experience with configuration management (Ansible preferred) and system administration.
\n- Familiarity with security concepts, access management, and data security.
\n- Experience with containers and container orchestration (i.e., Docker, Kubernetes).
\n- Experience with high performance network design and debugging.
\n- Experience with CI/CD pipelines and release management.
\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- Experience working in an Agile/Scrum environment- Able to travel occasionally to United States.
\n
\nBonus:
\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 (Terraform preferred).
\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- Experience in common ML tools, workflows and frameworks (i.e. systems like Kubeflow or MLFlow).
","id":"64699e25-fb7b-4c17-9087-21ebb699102b","lists":[],"text":"Senior / Staff Infrastructure Engineer (On-premise)","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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 in 2026, the Infrastructure team will be challenging ourselves to improve our ML infrastructure both in scale and efficiency while ensuring additional systems supporting the company’s engineering and research efforts are running top notch. We’re looking for a candidate who has extensive experience in designing, implementing and troubleshooting physical computers and networks while being able to work with cloud systems where necessary. The ideal candidate would work closely with the hardware team to collaboratively design and implement vehicle computers and networks. The successful candidate will also actively contribute to our physical infrastructure to advance machine learning efforts, CI systems, and software delivery.
\n
\nYou will...
\n- Work alongside a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
\n- Collaborate with hardware team on vehicle compute and network designs and implementation.
\n- Work with software and hardware teams on OS and software delivery into vehicles.
\n- Assist with vehicle compute and network performance tuning and diagnostics as needed.
\n- Work with software and hardware teams to implement and maintain high volume data pipelines.
\n- Work on multiple projects designing, building, deploying tools, systems and infrastructure to support vehicle development.
\n- Design and implement high performance physical networks and computing systems.
\n
\nQualifications:
\n- BS, MS/PhD in Computer Science or similar technical field of study or equivalent practical experience.
\n- 5+ years of relevant industry experience.
\n- Deep understanding of computer and network hardware and how detailed selection affects performance and reliability.
\n- Experience with on-premise servers, network equipment and storage systems.
\n- Experience in Linux and Linux kernel (packaging, performance tuning, low level debugging, hardening).
\n- Experience with configuration management (Ansible preferred) and system administration.
\n- Familiarity with security concepts, access management, and data security.
\n- Experience with containers and container orchestration (i.e., Docker, Kubernetes).
\n- Experience with high performance network design and debugging.
\n- Experience with CI/CD pipelines and release management.
\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- Experience working in an Agile/Scrum environment- Able to travel occasionally to United States.
\n
\nBonus:
\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 (Terraform preferred).
\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- Experience in common ML tools, workflows and frameworks (i.e. systems like Kubeflow or MLFlow).
","descriptionBodyPlain":"As Waabi continues to grow rapidly in 2026, the Infrastructure team will be challenging ourselves to improve our ML infrastructure both in scale and efficiency while ensuring additional systems supporting the company’s engineering and research efforts are running top notch. We’re looking for a candidate who has extensive experience in designing, implementing and troubleshooting physical computers and networks while being able to work with cloud systems where necessary. The ideal candidate would work closely with the hardware team to collaboratively design and implement vehicle computers and networks. The successful candidate will also actively contribute to our physical infrastructure to advance machine learning efforts, CI systems, and software delivery.\n \nYou will...\n- Work alongside a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.\n- Collaborate with hardware team on vehicle compute and network designs and implementation.\n- Work with software and hardware teams on OS and software delivery into vehicles.\n- Assist with vehicle compute and network performance tuning and diagnostics as needed.\n- Work with software and hardware teams to implement and maintain high volume data pipelines.\n- Work on multiple projects designing, building, deploying tools, systems and infrastructure to support vehicle development.\n- Design and implement high performance physical networks and computing systems.\n \nQualifications:\n- BS, MS/PhD in Computer Science or similar technical field of study or equivalent practical experience.\n- 5+ years of relevant industry experience.\n- Deep understanding of computer and network hardware and how detailed selection affects performance and reliability.\n- Experience with on-premise servers, network equipment and storage systems.\n- Experience in Linux and Linux kernel (packaging, performance tuning, low level debugging, hardening).\n- Experience with configuration management (Ansible preferred) and system administration.\n- Familiarity with security concepts, access management, and data security.\n- Experience with containers and container orchestration (i.e., Docker, Kubernetes).\n- Experience with high performance network design and debugging.\n- Experience with CI/CD pipelines and release management.\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- Experience working in an Agile/Scrum environment- Able to travel occasionally to United States.\n \nBonus:\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 (Terraform preferred).\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- Experience in common ML tools, workflows and frameworks (i.e. systems like Kubeflow or MLFlow).\n","hostedUrl":"https://jobs.lever.co/waabi/64699e25-fb7b-4c17-9087-21ebb699102b","applyUrl":"https://jobs.lever.co/waabi/64699e25-fb7b-4c17-9087-21ebb699102b/apply"},{"additionalPlain":"The US yearly salary range for this role is: $157,000 - $234,000 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:\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":"The US yearly salary range for this role is: $157,000 - $234,000 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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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":"Software Engineering","allLocations":["Remote US & Canada","Dallas, TX","Phoenix, AZ","Pittsburgh, PA","San Francisco, CA","Toronto, ON"]},"createdAt":1776108149880,"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, develop, and implement the machine learning platform for the continuous deployment and integration of machine learning models.\n- Collaborate with data scientists and engineers to understand model requirements and optimize pipeline processes.\n- Automate the training, testing and deployment processes for machine learning models.\n- Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability.\n- Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.\n- Ensure compliance with security and data privacy standards in all MLOps activities.\n \nQualifications:\n- 3-5 years of experience supporting machine learning training platforms.\n- Bachelor’s degree in Computer Science, Data Science or a related field.\n- Strong understanding of machine learning principles and model lifecycle management.\n- Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow or PyTorch.\n- Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.\n- Experience managing technology such as JupyterHub and Kubeflow.\n- Familiarity with containerization and orchestration tools such as Kubernetes and Docker.\n- Strong problem-solving skills and ability to troubleshoot complex issues.\n- Experience with monitoring tools and practices for model performance in production.\n- Ability to work collaboratively in cross-functional teams.\n \nBonus/nice to have: \n- Experience with infrastructure-as-code (IaC) tools such as Terraform or Crossplane.\n- Knowledge of big data technologies like Apache Spark or Hadoop.\n- Familiarity with data engineering practices and tools.\n- Experience with A/B testing and model validation in production environments.\n- Relevant MLOps certifications (e.g., AWS Certified Machine Learning – Specialty, DataRobot MLOps Certification) are 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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, develop, and implement the machine learning platform for the continuous deployment and integration of machine learning models.
\n- Collaborate with data scientists and engineers to understand model requirements and optimize pipeline processes.
\n- Automate the training, testing and deployment processes for machine learning models.
\n- Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability.
\n- Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.
\n- Ensure compliance with security and data privacy standards in all MLOps activities.
\n
\nQualifications:
\n- 3-5 years of experience supporting machine learning training platforms.
\n- Bachelor’s degree in Computer Science, Data Science or a related field.
\n- Strong understanding of machine learning principles and model lifecycle management.
\n- Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow or PyTorch.
\n- Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.
\n- Experience managing technology such as JupyterHub and Kubeflow.
\n- Familiarity with containerization and orchestration tools such as Kubernetes and Docker.
\n- Strong problem-solving skills and ability to troubleshoot complex issues.
\n- Experience with monitoring tools and practices for model performance in production.
\n- Ability to work collaboratively in cross-functional teams.
\n
\nBonus/nice to have:
\n- Experience with infrastructure-as-code (IaC) tools such as Terraform or Crossplane.
\n- Knowledge of big data technologies like Apache Spark or Hadoop.
\n- Familiarity with data engineering practices and tools.
\n- Experience with A/B testing and model validation in production environments.
\n- Relevant MLOps certifications (e.g., AWS Certified Machine Learning – Specialty, DataRobot MLOps Certification) are a plus.
","id":"1b9e7190-acb7-47bb-b6e4-d589d8561082","lists":[],"text":"Senior / Staff Machine Learning Infrastracture 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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, develop, and implement the machine learning platform for the continuous deployment and integration of machine learning models.
\n- Collaborate with data scientists and engineers to understand model requirements and optimize pipeline processes.
\n- Automate the training, testing and deployment processes for machine learning models.
\n- Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability.
\n- Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.
\n- Ensure compliance with security and data privacy standards in all MLOps activities.
\n
\nQualifications:
\n- 3-5 years of experience supporting machine learning training platforms.
\n- Bachelor’s degree in Computer Science, Data Science or a related field.
\n- Strong understanding of machine learning principles and model lifecycle management.
\n- Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow or PyTorch.
\n- Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.
\n- Experience managing technology such as JupyterHub and Kubeflow.
\n- Familiarity with containerization and orchestration tools such as Kubernetes and Docker.
\n- Strong problem-solving skills and ability to troubleshoot complex issues.
\n- Experience with monitoring tools and practices for model performance in production.
\n- Ability to work collaboratively in cross-functional teams.
\n
\nBonus/nice to have:
\n- Experience with infrastructure-as-code (IaC) tools such as Terraform or Crossplane.
\n- Knowledge of big data technologies like Apache Spark or Hadoop.
\n- Familiarity with data engineering practices and tools.
\n- Experience with A/B testing and model validation in production environments.
\n- Relevant MLOps certifications (e.g., AWS Certified Machine Learning – Specialty, DataRobot MLOps Certification) are a plus.
","descriptionBodyPlain":"You will..\n- Design, develop, and implement the machine learning platform for the continuous deployment and integration of machine learning models.\n- Collaborate with data scientists and engineers to understand model requirements and optimize pipeline processes.\n- Automate the training, testing and deployment processes for machine learning models.\n- Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability.\n- Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.\n- Ensure compliance with security and data privacy standards in all MLOps activities.\n \nQualifications:\n- 3-5 years of experience supporting machine learning training platforms.\n- Bachelor’s degree in Computer Science, Data Science or a related field.\n- Strong understanding of machine learning principles and model lifecycle management.\n- Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow or PyTorch.\n- Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.\n- Experience managing technology such as JupyterHub and Kubeflow.\n- Familiarity with containerization and orchestration tools such as Kubernetes and Docker.\n- Strong problem-solving skills and ability to troubleshoot complex issues.\n- Experience with monitoring tools and practices for model performance in production.\n- Ability to work collaboratively in cross-functional teams.\n \nBonus/nice to have: \n- Experience with infrastructure-as-code (IaC) tools such as Terraform or Crossplane.\n- Knowledge of big data technologies like Apache Spark or Hadoop.\n- Familiarity with data engineering practices and tools.\n- Experience with A/B testing and model validation in production environments.\n- Relevant MLOps certifications (e.g., AWS Certified Machine Learning – Specialty, DataRobot MLOps Certification) are a plus.\n","country":null,"hostedUrl":"https://jobs.lever.co/waabi/1b9e7190-acb7-47bb-b6e4-d589d8561082","applyUrl":"https://jobs.lever.co/waabi/1b9e7190-acb7-47bb-b6e4-d589d8561082/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:\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\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:
Waabi provides a competitive benefits package that includes:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- 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)
- As we grow, this list continues to evolve!
Waabi 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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:\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\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:
Waabi provides a competitive benefits package that includes:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- 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)
- As we grow, this list continues to evolve!
Waabi 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- 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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- 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/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:\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":"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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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:\nWaabi provides a competitive benefits package that includes:\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\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:
Waabi provides a competitive benefits package that includes:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- 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)
- As we grow, this list continues to evolve!
Waabi 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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: $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.\n\n\nPerks/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":"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.
Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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","Pittsburgh, PA","Dallas, TX","Remote US & Canada"]},"createdAt":1770868469737,"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 lead the architecture and development of Waabi’s monitoring and observability stack, used to monitor the health and performance of cloud and on-prem environments.\n- Develop and extend workloads and benchmarks (compute, storage, network, ML/AI) and integrate stress, chaos, and regression tests to validate hardware and platform choices.\n- Analyze and optimize end-to-end performance across hardware, firmware, Linux kernel, runtimes, and distributed services using advanced profiling tools (perf, eBPF, flamegraphs, tracing frameworks).\n- Build automation and observability tooling (Go/Python/Java, Kubernetes/Docker) for CI/CD-based performance regression detection, telemetry, alerting, and anomaly detection.\n- Work with client teams to support their applications’ observability requirements.\n- Influence system architecture and tooling decisions that improve how Waabi builds, monitors, and scales its infrastructure.\n- Drive execution and quality, writing design docs, setting milestones, mentoring ICs, and communicating insights and results to stakeholders and leadership.\n \nQualifications:\n- 5+ years software engineering or systems/performance engineering experience (BS in CS/EE or related), with demonstrated end-to-end ownership of complex projects.\n- Proficient in at least one of: Python, Rust, C/C++; strong CS fundamentals and system design skills.\n- Hands-on with Linux internals (CPU scheduling, memory, I/O, networking) and perf tooling (perf, eBPF, flamegraphs, tracing frameworks).\n- Experience with Kubernetes, microservices, and distributed systems; comfort building production services and pipelines.\n- Proven track record of clear communication, writing design docs, and leading cross-functional efforts.\n \nBonus: \n- Experience deploying and managing observability platforms (OpenTelemetry, Grafana OSS).\n- Performance tuning for databases/streaming/batch/ML platforms; GPU/xPU or Arm performance exposure.\n- Experience tuning stream processing, batch or ML platforms (e.g. Argo Workflows, PyTorch).\n- Familiarity with microservices debugging and distributed tracing (OpenTelemetry, Prometheus).\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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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 lead the architecture and development of Waabi’s monitoring and observability stack, used to monitor the health and performance of cloud and on-prem environments.
\n- Develop and extend workloads and benchmarks (compute, storage, network, ML/AI) and integrate stress, chaos, and regression tests to validate hardware and platform choices.
\n- Analyze and optimize end-to-end performance across hardware, firmware, Linux kernel, runtimes, and distributed services using advanced profiling tools (perf, eBPF, flamegraphs, tracing frameworks).
\n- Build automation and observability tooling (Go/Python/Java, Kubernetes/Docker) for CI/CD-based performance regression detection, telemetry, alerting, and anomaly detection.
\n- Work with client teams to support their applications’ observability requirements.
\n- Influence system architecture and tooling decisions that improve how Waabi builds, monitors, and scales its infrastructure.
\n- Drive execution and quality, writing design docs, setting milestones, mentoring ICs, and communicating insights and results to stakeholders and leadership.
\n
\nQualifications:
\n- 5+ years software engineering or systems/performance engineering experience (BS in CS/EE or related), with demonstrated end-to-end ownership of complex projects.
\n- Proficient in at least one of: Python, Rust, C/C++; strong CS fundamentals and system design skills.
\n- Hands-on with Linux internals (CPU scheduling, memory, I/O, networking) and perf tooling (perf, eBPF, flamegraphs, tracing frameworks).
\n- Experience with Kubernetes, microservices, and distributed systems; comfort building production services and pipelines.
\n- Proven track record of clear communication, writing design docs, and leading cross-functional efforts.
\n
\nBonus:
\n- Experience deploying and managing observability platforms (OpenTelemetry, Grafana OSS).
\n- Performance tuning for databases/streaming/batch/ML platforms; GPU/xPU or Arm performance exposure.
\n- Experience tuning stream processing, batch or ML platforms (e.g. Argo Workflows, PyTorch).
\n- Familiarity with microservices debugging and distributed tracing (OpenTelemetry, Prometheus).
","id":"17347bcc-7c94-4817-b7dc-28acebba05e1","lists":[],"text":"Senior / Staff Software Engineer (Observability / SRE)","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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 lead the architecture and development of Waabi’s monitoring and observability stack, used to monitor the health and performance of cloud and on-prem environments.
\n- Develop and extend workloads and benchmarks (compute, storage, network, ML/AI) and integrate stress, chaos, and regression tests to validate hardware and platform choices.
\n- Analyze and optimize end-to-end performance across hardware, firmware, Linux kernel, runtimes, and distributed services using advanced profiling tools (perf, eBPF, flamegraphs, tracing frameworks).
\n- Build automation and observability tooling (Go/Python/Java, Kubernetes/Docker) for CI/CD-based performance regression detection, telemetry, alerting, and anomaly detection.
\n- Work with client teams to support their applications’ observability requirements.
\n- Influence system architecture and tooling decisions that improve how Waabi builds, monitors, and scales its infrastructure.
\n- Drive execution and quality, writing design docs, setting milestones, mentoring ICs, and communicating insights and results to stakeholders and leadership.
\n
\nQualifications:
\n- 5+ years software engineering or systems/performance engineering experience (BS in CS/EE or related), with demonstrated end-to-end ownership of complex projects.
\n- Proficient in at least one of: Python, Rust, C/C++; strong CS fundamentals and system design skills.
\n- Hands-on with Linux internals (CPU scheduling, memory, I/O, networking) and perf tooling (perf, eBPF, flamegraphs, tracing frameworks).
\n- Experience with Kubernetes, microservices, and distributed systems; comfort building production services and pipelines.
\n- Proven track record of clear communication, writing design docs, and leading cross-functional efforts.
\n
\nBonus:
\n- Experience deploying and managing observability platforms (OpenTelemetry, Grafana OSS).
\n- Performance tuning for databases/streaming/batch/ML platforms; GPU/xPU or Arm performance exposure.
\n- Experience tuning stream processing, batch or ML platforms (e.g. Argo Workflows, PyTorch).
\n- Familiarity with microservices debugging and distributed tracing (OpenTelemetry, Prometheus).
","descriptionBodyPlain":"You will..\n- Design and lead the architecture and development of Waabi’s monitoring and observability stack, used to monitor the health and performance of cloud and on-prem environments.\n- Develop and extend workloads and benchmarks (compute, storage, network, ML/AI) and integrate stress, chaos, and regression tests to validate hardware and platform choices.\n- Analyze and optimize end-to-end performance across hardware, firmware, Linux kernel, runtimes, and distributed services using advanced profiling tools (perf, eBPF, flamegraphs, tracing frameworks).\n- Build automation and observability tooling (Go/Python/Java, Kubernetes/Docker) for CI/CD-based performance regression detection, telemetry, alerting, and anomaly detection.\n- Work with client teams to support their applications’ observability requirements.\n- Influence system architecture and tooling decisions that improve how Waabi builds, monitors, and scales its infrastructure.\n- Drive execution and quality, writing design docs, setting milestones, mentoring ICs, and communicating insights and results to stakeholders and leadership.\n \nQualifications:\n- 5+ years software engineering or systems/performance engineering experience (BS in CS/EE or related), with demonstrated end-to-end ownership of complex projects.\n- Proficient in at least one of: Python, Rust, C/C++; strong CS fundamentals and system design skills.\n- Hands-on with Linux internals (CPU scheduling, memory, I/O, networking) and perf tooling (perf, eBPF, flamegraphs, tracing frameworks).\n- Experience with Kubernetes, microservices, and distributed systems; comfort building production services and pipelines.\n- Proven track record of clear communication, writing design docs, and leading cross-functional efforts.\n \nBonus: \n- Experience deploying and managing observability platforms (OpenTelemetry, Grafana OSS).\n- Performance tuning for databases/streaming/batch/ML platforms; GPU/xPU or Arm performance exposure.\n- Experience tuning stream processing, batch or ML platforms (e.g. Argo Workflows, PyTorch).\n- Familiarity with microservices debugging and distributed tracing (OpenTelemetry, Prometheus).\n","hostedUrl":"https://jobs.lever.co/waabi/17347bcc-7c94-4817-b7dc-28acebba05e1","applyUrl":"https://jobs.lever.co/waabi/17347bcc-7c94-4817-b7dc-28acebba05e1/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:\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":"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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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:\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":"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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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","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\nYou will...\n- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable creating high definition maps at scale. \n- Build the engineering foundations of our long-term mapping infrastructure. \n- Build scalable pipelines to create, validate, maintain and visualize HD map data.\n- Design and develop metrics and monitoring across the various map systems.\n- Partner with map customers to capture requirements and implement new map features and intuitive APIs.\n- Engineer real-time scalable, highly-available map serving for a fleet of self-driving vehicles.\n\nQualifications:\n- BS or higher degree in EE/ CS or equivalent minimum 5 years of industry experience.\n- Experience with 3D geometry \n- Solid coding proficiency in Python and experience in either C++/Rust.\n- Solid experience in developing production quality software, versus only creating prototypes/proof of concepts.\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- Experience with cloud platforms (e.g., AWS/Azure/Google Cloud).\n\nBonus/nice to have:\n- Experience with geospatial systems and tooling such as QGIS and GDAL.\n- Experience with Machine Learning.\n- Experience with large-scale data processing systems (e.g., Apache Spark, Airflow).\n- Experience with automated testing.\n- Experience working in an Agile/Scrum environment.\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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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: $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:\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":"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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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","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.
","categories":{"commitment":"Full-time","department":"Software","location":"San Francisco, CA","team":"Software Engineering","allLocations":["San Francisco, CA","Toronto, ON","Pittsburgh, PA"]},"createdAt":1759239412857,"descriptionPlain":"Robots need to see the world they live in to make informed decisions. The Onboard Sensors Team brings that sight to our robot trucks. 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. Come 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 from.\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- 7+ years of industry experience working on fielded sensor systems (cameras, lidar, radar, GPS, IMU)\n- Enjoy collaborating with large teams that span many disciplines from engineering to operations.\n- Have a passion for developing efficient, readable and testable code.\n- Expert level C\\C++ or Rust (we use Rust) in resource constrained environments.\n- Have, independently, lead engineering effort to solve critical systems problems.\n- Have fielded and debugged Linux systems below the application level.\n- Firm grasp of how time plays a role in coordinated systems.\n- Passionate about self-driving technologies.\n- Some electronics experience - ability to read a schematic and use basic test equipment.\n","description":"Robots need to see the world they live in to make informed decisions. The Onboard Sensors Team brings that sight to our robot trucks. 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. Come 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 from.
\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- 7+ years of industry experience working on fielded sensor systems (cameras, lidar, radar, GPS, IMU)
\n- Enjoy collaborating with large teams that span many disciplines from engineering to operations.
\n- Have a passion for developing efficient, readable and testable code.
\n- Expert level C\\C++ or Rust (we use Rust) in resource constrained environments.
\n- Have, independently, lead engineering effort to solve critical systems problems.
\n- Have fielded and debugged Linux systems below the application level.
\n- Firm grasp of how time plays a role in coordinated systems.
\n- Passionate about self-driving technologies.
\n- Some electronics experience - ability to read a schematic and use basic test equipment.
","id":"8ba014bf-a0f8-422f-8686-5cde55f12bf6","lists":[],"text":"Senior / Staff Software Engineer, Onboard Software (Sensors)","country":"US","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"Robots need to see the world they live in to make informed decisions. The Onboard Sensors Team brings that sight to our robot trucks. 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. Come 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 from.
\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- 7+ years of industry experience working on fielded sensor systems (cameras, lidar, radar, GPS, IMU)
\n- Enjoy collaborating with large teams that span many disciplines from engineering to operations.
\n- Have a passion for developing efficient, readable and testable code.
\n- Expert level C\\C++ or Rust (we use Rust) in resource constrained environments.
\n- Have, independently, lead engineering effort to solve critical systems problems.
\n- Have fielded and debugged Linux systems below the application level.
\n- Firm grasp of how time plays a role in coordinated systems.
\n- Passionate about self-driving technologies.
\n- Some electronics experience - ability to read a schematic and use basic test equipment.
","descriptionBodyPlain":"Robots need to see the world they live in to make informed decisions. The Onboard Sensors Team brings that sight to our robot trucks. 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. Come 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 from.\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- 7+ years of industry experience working on fielded sensor systems (cameras, lidar, radar, GPS, IMU)\n- Enjoy collaborating with large teams that span many disciplines from engineering to operations.\n- Have a passion for developing efficient, readable and testable code.\n- Expert level C\\C++ or Rust (we use Rust) in resource constrained environments.\n- Have, independently, lead engineering effort to solve critical systems problems.\n- Have fielded and debugged Linux systems below the application level.\n- Firm grasp of how time plays a role in coordinated systems.\n- Passionate about self-driving technologies.\n- Some electronics experience - ability to read a schematic and use basic test equipment.\n","hostedUrl":"https://jobs.lever.co/waabi/8ba014bf-a0f8-422f-8686-5cde55f12bf6","applyUrl":"https://jobs.lever.co/waabi/8ba014bf-a0f8-422f-8686-5cde55f12bf6/apply"},{"additionalPlain":"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.\n\n\nPerks/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":"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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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.
You will...
- Contribute to and improve our state of the art self-driving simulator Waabi World to accelerate autonomous vehicle (AV) development.
- Improve the scalability and performance of the simulation platform to run simulations efficiently at an extremely large scale.
- Design and implement orchestration software between simulation subcomponents including the autonomy system, data-driven actor models, and sensor simulation powered by generative AI.
- Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers.
- Work closely with internal users to understand their requirements and workflows and propose new features to streamline and improve their experience using the simulator.
- Advocate and set patterns for software development.
- Drive complex cross-functional technical projects with impact across Waabi’s systems and company-wide impact.
Qualifications:
- 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.
- Experience with a variety of backend technologies and languages. Examples: Rust (Preferred), C++, Python.
- Experience developing and maintaining production quality software, versus only creating prototypes/proof of concepts.
- Linux/Unix experience
- Understanding of test-driven and API-driven development methodologies.
- Experience designing interfaces between systems.
- Experience with multi-threaded system design/architecture, algorithms, data structure design, and systems-level programming.
- Experience working with cross-functional partners/stakeholders when building software frameworks.
- Experience with software performance, optimization, and profiling.
- Experience with concurrency and determinism.
- Open-minded and collaborative team player with willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Bonus/nice to have:
- Experience with game engine development, simulation, or other similar application runtime development.
- Experience in autonomous systems, robotics or machine learning.
- Experience working in distributed systems or emulation at scale.
- Docker & Bazel experience
- Experience building software systems from scratch.
- Experience working in an Agile/Scrum environment.
- Experience working with accelerators.
- 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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.
You will...
- Contribute to and improve our state of the art self-driving simulator Waabi World to accelerate autonomous vehicle (AV) development.
- Improve the scalability and performance of the simulation platform to run simulations efficiently at an extremely large scale.
- Design and implement orchestration software between simulation subcomponents including the autonomy system, data-driven actor models, and sensor simulation powered by generative AI.
- Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers.
- Work closely with internal users to understand their requirements and workflows and propose new features to streamline and improve their experience using the simulator.
- Advocate and set patterns for software development.
- Drive complex cross-functional technical projects with impact across Waabi’s systems and company-wide impact.
Qualifications:
- 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.
- Experience with a variety of backend technologies and languages. Examples: Rust (Preferred), C++, Python.
- Experience developing and maintaining production quality software, versus only creating prototypes/proof of concepts.
- Linux/Unix experience
- Understanding of test-driven and API-driven development methodologies.
- Experience designing interfaces between systems.
- Experience with multi-threaded system design/architecture, algorithms, data structure design, and systems-level programming.
- Experience working with cross-functional partners/stakeholders when building software frameworks.
- Experience with software performance, optimization, and profiling.
- Experience with concurrency and determinism.
- Open-minded and collaborative team player with willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Bonus/nice to have:
- Experience with game engine development, simulation, or other similar application runtime development.
- Experience in autonomous systems, robotics or machine learning.
- Experience working in distributed systems or emulation at scale.
- Docker & Bazel experience
- Experience building software systems from scratch.
- Experience working in an Agile/Scrum environment.
- Experience working with accelerators.
- 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.- Open-minded and collaborative team player with willingness to help others.- 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.- Open-minded and collaborative team player with willingness to help others.- 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.- Open-minded and collaborative team player with willingness to help others.- 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.- Open-minded and collaborative team player with willingness to help others.- 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":"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:\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\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:
Waabi provides a competitive benefits package that includes:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- 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)
- As we grow, this list continues to evolve!
Waabi 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...\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 \nQualifications:\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 \nBonus/nice to have:\n- Startup/rapidly growing technology company experience.\n- ERP/financial system implementation.\n- Licensed CPA.\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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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
- 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
Qualifications:
\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
Bonus/nice to have:
\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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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
- 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
Qualifications:
\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
Bonus/nice to have:
\n
- Startup/rapidly growing technology company experience.
\n
- ERP/financial system implementation.
\n
- Licensed CPA.
\n
\n
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!
\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":1774903963629,"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- Lead the end-to-end strategic design and continuous improvement of core VO and FS training curriculum.\n- Develop and maintain comprehensive training policies and learning practices aligned with operational goals.\n- Ensure rigorous version control and audit-readiness of all training documentation and materials.\n- Guarantee all training records meet internal compliance standards and external regulatory requirements.\n- Manage and scale new-hire onboarding and professional development programs across all operational sites.\n- Collaborate with operational leadership and trainers to oversee effective program implementation.\n- Provide mentorship, coaching, and leadership to the future Training Specialist team.\n- Design and maintain a performance scale to track VO/FS skill development and measure training efficacy.\n- Conduct regular audits and quality checks to ensure instructional consistency across all sites.\n- Partner cross-functionally with Engineering, Safety, and Ops to integrate tech updates into training programs.\n\nQualifications:\n- Minimum 7+ years of progressive experience in L&D, training, or operations within transportation or AV industries.\n- Minimum 3+ years of direct people management experience, specifically scaling programs or leading strategic curriculum design.\n- Proven experience vetting, selecting, and implementing a new Learning Management System (LMS) from the ground up.\n- Strong organizational skills with meticulous attention to detail.\n- Ability to communicate effectively with various levels of staff and a passion for self-driving technologies.\n- 10% travel required.\n\nBonus:\n- Direct experience training personnel on the operation of Class 8 vehicles or similar complex machinery.\n- Advanced experience with e-learning content creation.\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…
- Lead the end-to-end strategic design and continuous improvement of core VO and FS training curriculum.
- Develop and maintain comprehensive training policies and learning practices aligned with operational goals.
- Ensure rigorous version control and audit-readiness of all training documentation and materials.
- Guarantee all training records meet internal compliance standards and external regulatory requirements.
- Manage and scale new-hire onboarding and professional development programs across all operational sites.
- Collaborate with operational leadership and trainers to oversee effective program implementation.
- Provide mentorship, coaching, and leadership to the future Training Specialist team.
- Design and maintain a performance scale to track VO/FS skill development and measure training efficacy.
- Conduct regular audits and quality checks to ensure instructional consistency across all sites.
- Partner cross-functionally with Engineering, Safety, and Ops to integrate tech updates into training programs.
\n
Qualifications:
- Minimum 7+ years of progressive experience in L&D, training, or operations within transportation or AV industries.
- Minimum 3+ years of direct people management experience, specifically scaling programs or leading strategic curriculum design.
- Proven experience vetting, selecting, and implementing a new Learning Management System (LMS) from the ground up.
- Strong organizational skills with meticulous attention to detail.
- Ability to communicate effectively with various levels of staff and a passion for self-driving technologies.
- 10% travel required.
\n
Bonus:
- Direct experience training personnel on the operation of Class 8 vehicles or similar complex machinery.
- Advanced experience with e-learning content creation.
\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…
- Lead the end-to-end strategic design and continuous improvement of core VO and FS training curriculum.
- Develop and maintain comprehensive training policies and learning practices aligned with operational goals.
- Ensure rigorous version control and audit-readiness of all training documentation and materials.
- Guarantee all training records meet internal compliance standards and external regulatory requirements.
- Manage and scale new-hire onboarding and professional development programs across all operational sites.
- Collaborate with operational leadership and trainers to oversee effective program implementation.
- Provide mentorship, coaching, and leadership to the future Training Specialist team.
- Design and maintain a performance scale to track VO/FS skill development and measure training efficacy.
- Conduct regular audits and quality checks to ensure instructional consistency across all sites.
- Partner cross-functionally with Engineering, Safety, and Ops to integrate tech updates into training programs.
\n
Qualifications:
- Minimum 7+ years of progressive experience in L&D, training, or operations within transportation or AV industries.
- Minimum 3+ years of direct people management experience, specifically scaling programs or leading strategic curriculum design.
- Proven experience vetting, selecting, and implementing a new Learning Management System (LMS) from the ground up.
- Strong organizational skills with meticulous attention to detail.
- Ability to communicate effectively with various levels of staff and a passion for self-driving technologies.
- 10% travel required.
\n
Bonus:
- Direct experience training personnel on the operation of Class 8 vehicles or similar complex machinery.
- Advanced experience with e-learning content creation.
\n
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:
- Competitive compensation and equity awards
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage
- Unlimited Vacation
- Flexible hours and Work from Home support
- Daily drinks, snacks and catered meals (when in office)
- Regularly scheduled team building activities and social events both on-site, off-site & virtually
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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…\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 \nQualifications:\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 \nNice to have:\n- Familiarity 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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
- 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
Qualifications:
\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
Nice to have:
\n
- Familiarity with Autonomous Vehicle (AV) policy within the trucking or robotaxi industries.
\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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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
- 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
Qualifications:
\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
Nice to have:
\n
- Familiarity with Autonomous Vehicle (AV) policy within the trucking or robotaxi industries.
\n
The US yearly salary range for this role is: $200,000 - $250,000 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- 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":"Policy","location":"Washington, DC","team":"Policy and Public Affairs","allLocations":["Washington, DC"]},"createdAt":1775006789132,"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- Cultivate and maintain relationships across Congressional offices and committees, and federal Agencies (with a focus on USDOT, NHTSA and FMCSA).\n- Execute on Waabi’s key legislative and regulatory goals and build awareness and understanding of Waabi’s technology and business.\n- Monitor and lead engagement with Congress on all major legislative initiatives impacting Waabi. Ensure Waabi's priorities are integrated into any relevant federal legislation including via direct lobbying.\n- Monitor key federal rulemakings, and lead the internal drafting of all relevant regulatory submissions. \n- Represent Waabi in-person at all major DC-based events (including industry events, Congressional hearings and markups, regulator forums, etc).\n- Serve as the point of contact for all federal policy matters, reporting key developments and strategic recommendations to the Head of Policy.\n \nQualifications:\n- Deep federal legislative and regulatory know-how.\n- Proven track record working with Congress, NHTSA, FMCSA, and various trade associations.\n- 10+ years of experience in federal government relations or public policy.\n- Familiarity with Autonomous Vehicle (AV) policy and the trucking industry.\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- Cultivate and maintain relationships across Congressional offices and committees, and federal Agencies (with a focus on USDOT, NHTSA and FMCSA).
\n- Execute on Waabi’s key legislative and regulatory goals and build awareness and understanding of Waabi’s technology and business.
\n- Monitor and lead engagement with Congress on all major legislative initiatives impacting Waabi. Ensure Waabi's priorities are integrated into any relevant federal legislation including via direct lobbying.
\n- Monitor key federal rulemakings, and lead the internal drafting of all relevant regulatory submissions.
\n- Represent Waabi in-person at all major DC-based events (including industry events, Congressional hearings and markups, regulator forums, etc).
\n- Serve as the point of contact for all federal policy matters, reporting key developments and strategic recommendations to the Head of Policy.
\n
\nQualifications:
\n- Deep federal legislative and regulatory know-how.
\n- Proven track record working with Congress, NHTSA, FMCSA, and various trade associations.
\n- 10+ years of experience in federal government relations or public policy.
\n- Familiarity with Autonomous Vehicle (AV) policy and the trucking industry.
","id":"0c3d9f42-57b1-428e-86c7-dd9be40e1e2d","lists":[],"text":"Senior Manager, Federal Policy and Public Affairs","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- Cultivate and maintain relationships across Congressional offices and committees, and federal Agencies (with a focus on USDOT, NHTSA and FMCSA).
\n- Execute on Waabi’s key legislative and regulatory goals and build awareness and understanding of Waabi’s technology and business.
\n- Monitor and lead engagement with Congress on all major legislative initiatives impacting Waabi. Ensure Waabi's priorities are integrated into any relevant federal legislation including via direct lobbying.
\n- Monitor key federal rulemakings, and lead the internal drafting of all relevant regulatory submissions.
\n- Represent Waabi in-person at all major DC-based events (including industry events, Congressional hearings and markups, regulator forums, etc).
\n- Serve as the point of contact for all federal policy matters, reporting key developments and strategic recommendations to the Head of Policy.
\n
\nQualifications:
\n- Deep federal legislative and regulatory know-how.
\n- Proven track record working with Congress, NHTSA, FMCSA, and various trade associations.
\n- 10+ years of experience in federal government relations or public policy.
\n- Familiarity with Autonomous Vehicle (AV) policy and the trucking industry.
","descriptionBodyPlain":"You will…\n- Cultivate and maintain relationships across Congressional offices and committees, and federal Agencies (with a focus on USDOT, NHTSA and FMCSA).\n- Execute on Waabi’s key legislative and regulatory goals and build awareness and understanding of Waabi’s technology and business.\n- Monitor and lead engagement with Congress on all major legislative initiatives impacting Waabi. Ensure Waabi's priorities are integrated into any relevant federal legislation including via direct lobbying.\n- Monitor key federal rulemakings, and lead the internal drafting of all relevant regulatory submissions. \n- Represent Waabi in-person at all major DC-based events (including industry events, Congressional hearings and markups, regulator forums, etc).\n- Serve as the point of contact for all federal policy matters, reporting key developments and strategic recommendations to the Head of Policy.\n \nQualifications:\n- Deep federal legislative and regulatory know-how.\n- Proven track record working with Congress, NHTSA, FMCSA, and various trade associations.\n- 10+ years of experience in federal government relations or public policy.\n- Familiarity with Autonomous Vehicle (AV) policy and the trucking industry.\n","hostedUrl":"https://jobs.lever.co/waabi/0c3d9f42-57b1-428e-86c7-dd9be40e1e2d","applyUrl":"https://jobs.lever.co/waabi/0c3d9f42-57b1-428e-86c7-dd9be40e1e2d/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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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":"People & Places","location":"Pittsburgh, PA","team":"Talent Acquisition","allLocations":["Pittsburgh, PA","San Francisco, CA","Toronto, ON","Dallas, TX","Remote US & Canada"]},"createdAt":1778594631566,"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- Help build multidisciplinary teams to enable safe self-driving at scale.\n- Own the full cycle recruitment for roles in both US and Canada: driving hiring strategy to closing top talent while delivering the best in class candidate experience.\n- Partner and collaborate with hiring managers to understand headcount needs while creating strategy, prioritization of roles, deliverables, and tracking processes with measurable metrics. \n- Maintain data in our Applicant Tracking System (Lever) and use data driven approaches to optimize recruiting pipelines, report on pipeline health, and influence strategy. \n- Build for the future by improving our systems & tools, interview frameworks, and hiring best practices across the team. \n \nQualifications:\n- Minimum of Bachelor's degree in Business, HR, Communications or similar fields. \n- 5+ years full-cycle recruitment experience in a fast paced, high growth environment supporting non tech & technical domains.\n- Excellent verbal, written communication and interpersonal skills.\n- Experience using an ATS to source, track and manage candidates (Lever preferred but not required).\n- Solid knowledge and end to end recruiting experience.\n- Ability to pull and drive conversations with business partners in regards to pipeline insights. \n- Project management experience and proven ability to achieve results in a fast moving, dynamic environment, self motivated and self-directed. \n- Experience partnering with a wide variety of clients and senior level business leaders.\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/nice to have:\n- Strong search experience sourcing candidates on various platforms.\n- Recruitment experience in both the US and Canada.\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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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- Help build multidisciplinary teams to enable safe self-driving at scale.
\n- Own the full cycle recruitment for roles in both US and Canada: driving hiring strategy to closing top talent while delivering the best in class candidate experience.
\n- Partner and collaborate with hiring managers to understand headcount needs while creating strategy, prioritization of roles, deliverables, and tracking processes with measurable metrics.
\n- Maintain data in our Applicant Tracking System (Lever) and use data driven approaches to optimize recruiting pipelines, report on pipeline health, and influence strategy.
\n- Build for the future by improving our systems & tools, interview frameworks, and hiring best practices across the team.
\n
\nQualifications:
\n- Minimum of Bachelor's degree in Business, HR, Communications or similar fields.
\n- 5+ years full-cycle recruitment experience in a fast paced, high growth environment supporting non tech & technical domains.
\n- Excellent verbal, written communication and interpersonal skills.
\n- Experience using an ATS to source, track and manage candidates (Lever preferred but not required).
\n- Solid knowledge and end to end recruiting experience.
\n- Ability to pull and drive conversations with business partners in regards to pipeline insights.
\n- Project management experience and proven ability to achieve results in a fast moving, dynamic environment, self motivated and self-directed.
\n- Experience partnering with a wide variety of clients and senior level business leaders.
\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/nice to have:
\n- Strong search experience sourcing candidates on various platforms.
\n- Recruitment experience in both the US and Canada.
","id":"9eab48b7-9fba-40b7-9ecb-beb1ec6ad3cb","lists":[],"text":"Senior Recruiter","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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- Help build multidisciplinary teams to enable safe self-driving at scale.
\n- Own the full cycle recruitment for roles in both US and Canada: driving hiring strategy to closing top talent while delivering the best in class candidate experience.
\n- Partner and collaborate with hiring managers to understand headcount needs while creating strategy, prioritization of roles, deliverables, and tracking processes with measurable metrics.
\n- Maintain data in our Applicant Tracking System (Lever) and use data driven approaches to optimize recruiting pipelines, report on pipeline health, and influence strategy.
\n- Build for the future by improving our systems & tools, interview frameworks, and hiring best practices across the team.
\n
\nQualifications:
\n- Minimum of Bachelor's degree in Business, HR, Communications or similar fields.
\n- 5+ years full-cycle recruitment experience in a fast paced, high growth environment supporting non tech & technical domains.
\n- Excellent verbal, written communication and interpersonal skills.
\n- Experience using an ATS to source, track and manage candidates (Lever preferred but not required).
\n- Solid knowledge and end to end recruiting experience.
\n- Ability to pull and drive conversations with business partners in regards to pipeline insights.
\n- Project management experience and proven ability to achieve results in a fast moving, dynamic environment, self motivated and self-directed.
\n- Experience partnering with a wide variety of clients and senior level business leaders.
\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/nice to have:
\n- Strong search experience sourcing candidates on various platforms.
\n- Recruitment experience in both the US and Canada.
","descriptionBodyPlain":"You will...\n- Help build multidisciplinary teams to enable safe self-driving at scale.\n- Own the full cycle recruitment for roles in both US and Canada: driving hiring strategy to closing top talent while delivering the best in class candidate experience.\n- Partner and collaborate with hiring managers to understand headcount needs while creating strategy, prioritization of roles, deliverables, and tracking processes with measurable metrics. \n- Maintain data in our Applicant Tracking System (Lever) and use data driven approaches to optimize recruiting pipelines, report on pipeline health, and influence strategy. \n- Build for the future by improving our systems & tools, interview frameworks, and hiring best practices across the team. \n \nQualifications:\n- Minimum of Bachelor's degree in Business, HR, Communications or similar fields. \n- 5+ years full-cycle recruitment experience in a fast paced, high growth environment supporting non tech & technical domains.\n- Excellent verbal, written communication and interpersonal skills.\n- Experience using an ATS to source, track and manage candidates (Lever preferred but not required).\n- Solid knowledge and end to end recruiting experience.\n- Ability to pull and drive conversations with business partners in regards to pipeline insights. \n- Project management experience and proven ability to achieve results in a fast moving, dynamic environment, self motivated and self-directed. \n- Experience partnering with a wide variety of clients and senior level business leaders.\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/nice to have:\n- Strong search experience sourcing candidates on various platforms.\n- Recruitment experience in both the US and Canada.\n","hostedUrl":"https://jobs.lever.co/waabi/9eab48b7-9fba-40b7-9ecb-beb1ec6ad3cb","applyUrl":"https://jobs.lever.co/waabi/9eab48b7-9fba-40b7-9ecb-beb1ec6ad3cb/apply"},{"additionalPlain":"The US yearly salary range for this role is: $147,900 - 212,700 USD and the Canada salary range for this role is: $180,400 - $220,500 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:\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 \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: $147,900 - 212,700 USD and the Canada salary range for this role is: $180,400 - $220,500 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- 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
\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":"San Francisco, CA","team":"Safety","allLocations":["San Francisco, CA","Remote US","Remote Canada","Pittsburgh, PA","Phoenix, AZ","Dallas, TX","Toronto, ON"]},"createdAt":1768958588696,"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…\n- Scale and manage safety framework methods by defining requirements for automated assessment workflows and partnering with the autonomy and algorithms teams to implement and debug the evaluation infrastructure.\n- Develop and monitor quantitative metrics to evaluate system performance against established safety targets.\n- Optimize test coverage within Waabi’s high-fidelity simulator to validate driving behaviors across safety-critical scenarios.\n- Define and iterate on human performance benchmarks to support robust comparative safety assessments.\n- Identify safety gaps and ensure traceability between requirements, validation artifacts, and safety case claims.\n- Maintain structured documentation of safety artifacts and readiness decisions to ensure rigorous transparency and traceability.\n- Mentor peers to foster technical excellence and drive constructive cross-functional collaboration.\n \nQualifications:\n- Undergrad required; Masters or PhD within an engineering discipline preferred.\n- 5+ years of automotive, robotics or related industry experience.\n- Experience contributing to the development of a safety case for autonomous vehicles.\n- Experience with using simulation and real-world testing to make readiness decisions.\n- Knowledge of relevant safety methods and standards such as STPA, SOTIF (ISO 21448), ISO/SAE PAS 22736, and UL 4600.\n- Strong fundamentals in mathematics, engineering and physics.\n- Excellent scripting and data analysis skills with tools such as Python and SQL.\n- Ability to communicate complex concepts or data in a simple-yet-accurate manner.\n- Collaborative team player who works effectively across functional boundaries.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus/nice to have:\n- Experience in launching a driverless product.\n- Experience in data science and machine learning\n- Experience implementing software systems components.\n- Advanced skills in data mining, mathematics, and 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.
\n
\nYou will…
\n- Scale and manage safety framework methods by defining requirements for automated assessment workflows and partnering with the autonomy and algorithms teams to implement and debug the evaluation infrastructure.
\n- Develop and monitor quantitative metrics to evaluate system performance against established safety targets.
\n- Optimize test coverage within Waabi’s high-fidelity simulator to validate driving behaviors across safety-critical scenarios.
\n- Define and iterate on human performance benchmarks to support robust comparative safety assessments.
\n- Identify safety gaps and ensure traceability between requirements, validation artifacts, and safety case claims.
\n- Maintain structured documentation of safety artifacts and readiness decisions to ensure rigorous transparency and traceability.
\n- Mentor peers to foster technical excellence and drive constructive cross-functional collaboration.
\n
\nQualifications:
\n- Undergrad required; Masters or PhD within an engineering discipline preferred.
\n- 5+ years of automotive, robotics or related industry experience.
\n- Experience contributing to the development of a safety case for autonomous vehicles.
\n- Experience with using simulation and real-world testing to make readiness decisions.
\n- Knowledge of relevant safety methods and standards such as STPA, SOTIF (ISO 21448), ISO/SAE PAS 22736, and UL 4600.
\n- Strong fundamentals in mathematics, engineering and physics.
\n- Excellent scripting and data analysis skills with tools such as Python and SQL.
\n- Ability to communicate complex concepts or data in a simple-yet-accurate manner.
\n- Collaborative team player who works effectively across functional boundaries.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\nBonus/nice to have:
\n- Experience in launching a driverless product.
\n- Experience in data science and machine learning
\n- Experience implementing software systems components.
\n- Advanced skills in data mining, mathematics, and statistical analysis.
","id":"0b2e24b5-0f78-4d73-b138-88bb8d0704cd","lists":[],"text":"Senior Safety Engineer, Collision Risk","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":"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…
\n- Scale and manage safety framework methods by defining requirements for automated assessment workflows and partnering with the autonomy and algorithms teams to implement and debug the evaluation infrastructure.
\n- Develop and monitor quantitative metrics to evaluate system performance against established safety targets.
\n- Optimize test coverage within Waabi’s high-fidelity simulator to validate driving behaviors across safety-critical scenarios.
\n- Define and iterate on human performance benchmarks to support robust comparative safety assessments.
\n- Identify safety gaps and ensure traceability between requirements, validation artifacts, and safety case claims.
\n- Maintain structured documentation of safety artifacts and readiness decisions to ensure rigorous transparency and traceability.
\n- Mentor peers to foster technical excellence and drive constructive cross-functional collaboration.
\n
\nQualifications:
\n- Undergrad required; Masters or PhD within an engineering discipline preferred.
\n- 5+ years of automotive, robotics or related industry experience.
\n- Experience contributing to the development of a safety case for autonomous vehicles.
\n- Experience with using simulation and real-world testing to make readiness decisions.
\n- Knowledge of relevant safety methods and standards such as STPA, SOTIF (ISO 21448), ISO/SAE PAS 22736, and UL 4600.
\n- Strong fundamentals in mathematics, engineering and physics.
\n- Excellent scripting and data analysis skills with tools such as Python and SQL.
\n- Ability to communicate complex concepts or data in a simple-yet-accurate manner.
\n- Collaborative team player who works effectively across functional boundaries.
\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
\n
\nBonus/nice to have:
\n- Experience in launching a driverless product.
\n- Experience in data science and machine learning
\n- Experience implementing software systems components.
\n- Advanced skills in data mining, mathematics, and statistical analysis.
","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…\n- Scale and manage safety framework methods by defining requirements for automated assessment workflows and partnering with the autonomy and algorithms teams to implement and debug the evaluation infrastructure.\n- Develop and monitor quantitative metrics to evaluate system performance against established safety targets.\n- Optimize test coverage within Waabi’s high-fidelity simulator to validate driving behaviors across safety-critical scenarios.\n- Define and iterate on human performance benchmarks to support robust comparative safety assessments.\n- Identify safety gaps and ensure traceability between requirements, validation artifacts, and safety case claims.\n- Maintain structured documentation of safety artifacts and readiness decisions to ensure rigorous transparency and traceability.\n- Mentor peers to foster technical excellence and drive constructive cross-functional collaboration.\n \nQualifications:\n- Undergrad required; Masters or PhD within an engineering discipline preferred.\n- 5+ years of automotive, robotics or related industry experience.\n- Experience contributing to the development of a safety case for autonomous vehicles.\n- Experience with using simulation and real-world testing to make readiness decisions.\n- Knowledge of relevant safety methods and standards such as STPA, SOTIF (ISO 21448), ISO/SAE PAS 22736, and UL 4600.\n- Strong fundamentals in mathematics, engineering and physics.\n- Excellent scripting and data analysis skills with tools such as Python and SQL.\n- Ability to communicate complex concepts or data in a simple-yet-accurate manner.\n- Collaborative team player who works effectively across functional boundaries.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n \nBonus/nice to have:\n- Experience in launching a driverless product.\n- Experience in data science and machine learning\n- Experience implementing software systems components.\n- Advanced skills in data mining, mathematics, and statistical analysis.\n","hostedUrl":"https://jobs.lever.co/waabi/0b2e24b5-0f78-4d73-b138-88bb8d0704cd","applyUrl":"https://jobs.lever.co/waabi/0b2e24b5-0f78-4d73-b138-88bb8d0704cd/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:\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":"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- 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":"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:\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":"\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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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
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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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.\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.\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.\nWhat You'll Do\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.\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.\nWhat Success Looks Like\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.\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\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).\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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
About the Role
\n\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
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- \n
Define the \"how\" behind novel autonomous trucking challenges through process mapping, operating model design, requirements definition, and cross-functional alignment.
\n \n- \n
Translate customer, operations, autonomy, and business needs into clear product requirements and deployment plans.
\n \n- \n
Build structured frameworks for site readiness, service design, partner integration, customer onboarding, launch readiness, and operational scalability.
\n \n- \n
Build repeatable pilot-to-scale playbooks that move customers, lanes, and sites from pilot to qualified, mature, and driverless-ready deployments.
\n \n- \n
Lead cross-functional workstreams with autonomy, operations, engineering, business development, safety, legal, and external partners.
\n \n- \n
Drive workshops with internal teams and external partners, including agenda design, decision framing, progress tracking, and follow-through.
\n \n- \n
Identify key tradeoffs across customer value, autonomy readiness, operational complexity, cost, speed, and long-term scalability.
\n \n- \n
Inform partnership requirements and operating models with OEMs, customers, service providers, and facility partners, in close partnership with BD.
\n \n- \n
Produce executive-ready decision memos, operating playbooks, and product artifacts for your workstreams.
\n \n- \n
Work closely with engineering and autonomy teams to understand technical constraints, risks, readiness levels, and product implications.
\n \n- \n
Communicate clearly with technical, operational, commercial, and executive audiences.
\n \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- \n
Turned ambiguous commercial problems into clear product requirements, operating models, and execution plans.
\n \n- \n
Created scalable playbooks that reduce friction for future customers, lanes, sites, and partners.
\n \n- \n
Helped internal teams make faster, better trade-off decisions.
\n \n- \n
Built trust with operations, autonomy, engineering, commercial teams, and external partners.
\n \n- \n
Improved Waabi’s ability to launch, operate, support, and scale driverless trucking missions.
\n \n- \n
Created artifacts and systems that become foundational to Waabi’s commercial deployment model.
\n \n
\n
Qualifications
\n
Required
\n
\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 \n- \n
Demonstrated experience standing up an operating model from scratch in a physical-world business — services + workflows + tools, not just software
\n \n- \n
Track record of designing, launching, or scaling complex B2B products, services, programs, or operating models
\n \n- \n
Strong systems thinking and first-principles judgment — able to break ambiguous problems into clear frameworks, requirements, decisions, and execution plans
\n \n- \n
Track record of leading cross-functional initiatives without formal authority
\n \n- \n
Executive-grade written and verbal communication
\n \n- \n
High EQ, low ego, and bias toward ownership and action
\n \n
\n
Strongly Preferred
\n
\n- \n
Experience with B2B enterprise customers, strategic partnerships, OEMs, or service provider ecosystems
\n \n- \n
Experience designing operational processes, customer onboarding flows, service models, or scaled deployment playbooks
\n \n- \n
Zero-to-one product or program experience at an early-stage or scaling startup
\n \n- \n
Direct experience in autonomous trucking, freight tech, or AV commercialization (vs. adjacent physical-AI domains)
\n \n- \n
Track record of owning end-to-end outcomes, not just deliverables (e.g., business unit, product line, or service area ownership).
\n \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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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":"About the Role
\n\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
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- \n
Define the \"how\" behind novel autonomous trucking challenges through process mapping, operating model design, requirements definition, and cross-functional alignment.
\n \n- \n
Translate customer, operations, autonomy, and business needs into clear product requirements and deployment plans.
\n \n- \n
Build structured frameworks for site readiness, service design, partner integration, customer onboarding, launch readiness, and operational scalability.
\n \n- \n
Build repeatable pilot-to-scale playbooks that move customers, lanes, and sites from pilot to qualified, mature, and driverless-ready deployments.
\n \n- \n
Lead cross-functional workstreams with autonomy, operations, engineering, business development, safety, legal, and external partners.
\n \n- \n
Drive workshops with internal teams and external partners, including agenda design, decision framing, progress tracking, and follow-through.
\n \n- \n
Identify key tradeoffs across customer value, autonomy readiness, operational complexity, cost, speed, and long-term scalability.
\n \n- \n
Inform partnership requirements and operating models with OEMs, customers, service providers, and facility partners, in close partnership with BD.
\n \n- \n
Produce executive-ready decision memos, operating playbooks, and product artifacts for your workstreams.
\n \n- \n
Work closely with engineering and autonomy teams to understand technical constraints, risks, readiness levels, and product implications.
\n \n- \n
Communicate clearly with technical, operational, commercial, and executive audiences.
\n \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- \n
Turned ambiguous commercial problems into clear product requirements, operating models, and execution plans.
\n \n- \n
Created scalable playbooks that reduce friction for future customers, lanes, sites, and partners.
\n \n- \n
Helped internal teams make faster, better trade-off decisions.
\n \n- \n
Built trust with operations, autonomy, engineering, commercial teams, and external partners.
\n \n- \n
Improved Waabi’s ability to launch, operate, support, and scale driverless trucking missions.
\n \n- \n
Created artifacts and systems that become foundational to Waabi’s commercial deployment model.
\n \n
\n
Qualifications
\n
Required
\n
\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 \n- \n
Demonstrated experience standing up an operating model from scratch in a physical-world business — services + workflows + tools, not just software
\n \n- \n
Track record of designing, launching, or scaling complex B2B products, services, programs, or operating models
\n \n- \n
Strong systems thinking and first-principles judgment — able to break ambiguous problems into clear frameworks, requirements, decisions, and execution plans
\n \n- \n
Track record of leading cross-functional initiatives without formal authority
\n \n- \n
Executive-grade written and verbal communication
\n \n- \n
High EQ, low ego, and bias toward ownership and action
\n \n
\n
Strongly Preferred
\n
\n- \n
Experience with B2B enterprise customers, strategic partnerships, OEMs, or service provider ecosystems
\n \n- \n
Experience designing operational processes, customer onboarding flows, service models, or scaled deployment playbooks
\n \n- \n
Zero-to-one product or program experience at an early-stage or scaling startup
\n \n- \n
Direct experience in autonomous trucking, freight tech, or AV commercialization (vs. adjacent physical-AI domains)
\n \n- \n
Track record of owning end-to-end outcomes, not just deliverables (e.g., business unit, product line, or service area ownership).
\n \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: $180,000 - $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- 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":"Systems Engineering and Safety","location":"Remote US","team":"Systems Engineering","allLocations":["Remote US","Remote Canada","Dallas, TX","Phoenix, AZ","Pittsburgh, PA","San Francisco, CA","Toronto, ON"]},"createdAt":1754427437314,"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- Lead and own the creation, documentation, alignment and verification of all behavioral system requirements at Waabi with a strong understanding of vehicle behaviors and interactions and how to describe and evaluate them efficiently and effectively\n- Act as a central point of contact at Waabi for all matters related to behavioral requirements and related scenario sets 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 all necessary improvements for our highly realistic simulator to effectively verify all driving behaviors under all required conditions and work with other teams at Waabi to get these improvements designed and implemented\n- Own the overall concept for how we document and link all product requirements, system requirements, tests and test executions for all aspects of the highly autonomous vehicle\n- Continuously evaluate and enhance Waabi’s behavioral evaluation 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 behavioral requirement processes where applicable\n- Work with external partners on gathering data and information related to driving behaviors of trucks as well as on supporting a strong safety case for the complete self-driving system\n\nQualifications:\n- Undergrad required; Masters or PhD within an engineering discipline preferred\n- 7+ years of automotive, robotics, aerospace or related industry experience\n- Experience with requirements and metrics for driving behavior evaluations\n- Experience with building complex driving behavior scenarios\n- Experience with methods and standards such as STPA, SOTIF (ISO 21448) and / or UL 4600\n- Strong fundamentals in mathematics, engineering and physics\n- Ability to communicate complex concepts or data in a simple-yet-accurate manner\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\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\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…
- Lead and own the creation, documentation, alignment and verification of all behavioral system requirements at Waabi with a strong understanding of vehicle behaviors and interactions and how to describe and evaluate them efficiently and effectively
- Act as a central point of contact at Waabi for all matters related to behavioral requirements and related scenario sets and communicate updates, progress and potential roadblocks to stakeholders at all levels
- 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
- Define all necessary improvements for our highly realistic simulator to effectively verify all driving behaviors under all required conditions and work with other teams at Waabi to get these improvements designed and implemented
- Own the overall concept for how we document and link all product requirements, system requirements, tests and test executions for all aspects of the highly autonomous vehicle
- Continuously evaluate and enhance Waabi’s behavioral evaluation capabilities, look for novel approaches, identify and apply lessons learned and ensure a detailed and comprehensive documentation that is easily accessible
- Implement tools and methodologies to streamline and automate the behavioral requirement processes where applicable
- Work with external partners on gathering data and information related to driving behaviors of trucks as well as on supporting a strong safety case for the complete self-driving system
Qualifications:
- Undergrad required; Masters or PhD within an engineering discipline preferred
- 7+ years of automotive, robotics, aerospace or related industry experience
- Experience with requirements and metrics for driving behavior evaluations
- Experience with building complex driving behavior scenarios
- Experience with methods and standards such as STPA, SOTIF (ISO 21448) and / or UL 4600
- Strong fundamentals in mathematics, engineering and physics
- Ability to communicate complex concepts or data in a simple-yet-accurate manner
- Excellent data analysis skills with modern tools such as Python or Matlab
- Open-minded and collaborative leader who is eager to provide guidance and has the willingness to help others
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
Bonus/nice to have:
- Experience in launching a driverless product
- Experience in leading small teams of systems engineers
- Experience in the automotive self driving industry
- Experience building software systems from scratch
- Experience in robotics or machine learning
- Proficiency with data mining, mathematics, and statistical analysis
","id":"37f44333-65ab-4bf2-896f-f6f19d909094","lists":[],"text":"Staff Systems Engineer - Behavior 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…
- Lead and own the creation, documentation, alignment and verification of all behavioral system requirements at Waabi with a strong understanding of vehicle behaviors and interactions and how to describe and evaluate them efficiently and effectively
- Act as a central point of contact at Waabi for all matters related to behavioral requirements and related scenario sets and communicate updates, progress and potential roadblocks to stakeholders at all levels
- 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
- Define all necessary improvements for our highly realistic simulator to effectively verify all driving behaviors under all required conditions and work with other teams at Waabi to get these improvements designed and implemented
- Own the overall concept for how we document and link all product requirements, system requirements, tests and test executions for all aspects of the highly autonomous vehicle
- Continuously evaluate and enhance Waabi’s behavioral evaluation capabilities, look for novel approaches, identify and apply lessons learned and ensure a detailed and comprehensive documentation that is easily accessible
- Implement tools and methodologies to streamline and automate the behavioral requirement processes where applicable
- Work with external partners on gathering data and information related to driving behaviors of trucks as well as on supporting a strong safety case for the complete self-driving system
Qualifications:
- Undergrad required; Masters or PhD within an engineering discipline preferred
- 7+ years of automotive, robotics, aerospace or related industry experience
- Experience with requirements and metrics for driving behavior evaluations
- Experience with building complex driving behavior scenarios
- Experience with methods and standards such as STPA, SOTIF (ISO 21448) and / or UL 4600
- Strong fundamentals in mathematics, engineering and physics
- Ability to communicate complex concepts or data in a simple-yet-accurate manner
- Excellent data analysis skills with modern tools such as Python or Matlab
- Open-minded and collaborative leader who is eager to provide guidance and has the willingness to help others
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
Bonus/nice to have:
- Experience in launching a driverless product
- Experience in leading small teams of systems engineers
- Experience in the automotive self driving industry
- Experience building software systems from scratch
- Experience in robotics or machine learning
- Proficiency with data mining, mathematics, and statistical analysis
","descriptionBodyPlain":"You will…\n- Lead and own the creation, documentation, alignment and verification of all behavioral system requirements at Waabi with a strong understanding of vehicle behaviors and interactions and how to describe and evaluate them efficiently and effectively\n- Act as a central point of contact at Waabi for all matters related to behavioral requirements and related scenario sets 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 all necessary improvements for our highly realistic simulator to effectively verify all driving behaviors under all required conditions and work with other teams at Waabi to get these improvements designed and implemented\n- Own the overall concept for how we document and link all product requirements, system requirements, tests and test executions for all aspects of the highly autonomous vehicle\n- Continuously evaluate and enhance Waabi’s behavioral evaluation 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 behavioral requirement processes where applicable\n- Work with external partners on gathering data and information related to driving behaviors of trucks as well as on supporting a strong safety case for the complete self-driving system\n\nQualifications:\n- Undergrad required; Masters or PhD within an engineering discipline preferred\n- 7+ years of automotive, robotics, aerospace or related industry experience\n- Experience with requirements and metrics for driving behavior evaluations\n- Experience with building complex driving behavior scenarios\n- Experience with methods and standards such as STPA, SOTIF (ISO 21448) and / or UL 4600\n- Strong fundamentals in mathematics, engineering and physics\n- Ability to communicate complex concepts or data in a simple-yet-accurate manner\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\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\n","hostedUrl":"https://jobs.lever.co/waabi/37f44333-65ab-4bf2-896f-f6f19d909094","applyUrl":"https://jobs.lever.co/waabi/37f44333-65ab-4bf2-896f-f6f19d909094/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\n","additional":"Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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","Dallas, TX"]},"createdAt":1750165900448,"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 develop a highly autonomous vehicle that integrates sensors, compute and actuators into a base vehicle. This is the platform which we use as the foundation for our Waabi Driver that uses novel generative AI algorithms to develop and scale an autonomous trucking solution very quickly. Ensuring that this platform is safe for supervised autonomy and driverless autonomy operations requires systems engineering practices like tracing product requirements to system requirements to tests and eventually test executions in order to build a very strong safety case. In this role you will work within the Platform Systems Engineering team and cross functionally with Hardware, Software and Operations at Waabi to define and realize verification methods by developing and executing tests.\n \nA strong focus will be on: \n- Creating verification plans based on requirements\n- Developing and documenting tests\n- Executing tests with support from other test engineers\n- Developing fault injection tools and techniques\n \nYou will…\n- Own the creation, documentation, alignment and verification of autonomous platform requirements at Waabi and define ways for how to describe and evaluate them efficiently and effectively\n- Act as a central point of contact at Waabi for specific platform-related verification methods and tests and communicate updates, progress and potential roadblocks to stakeholders at all levels\n- Define necessary improvements for our highly realistic simulator to effectively verify most autonomous platform aspects under all required conditions and work with other teams at Waabi to get these improvements designed and implemented; this includes HIL/SIL verification methods\n- Own the writing and tracking of tests and test executions in line with company project milestones\n- Implement tools and methodologies to streamline and automate the Waabi platform verification processes where applicable\n- Work with external partners on delivering a safe autonomous platform that has been verified and validated to support a strong safety case for the complete self-driving system\n \nExpectations:\n- In-vehicle testing, to be conducted with the assistance of a vehicle operator\n- 100% in-office presence when testing is needed\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- Knowledge of the typical autonomous vehicle stack\n- Systems engineering and verification and validation experience\n- Experience with executing complex vehicle test campaigns\n- Experience with functional safety, i.e. ISO 26262\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- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions\n- Experience with vehicle actuation (brakes, steering, propulsion)\n- Bring an in-depth understanding of sensors, compute and actuators used in the self-driving vehicle scope\n \nBonus/nice to have:\n- Having a good understanding of how trucks work and are operated will also be helpful to be successful in this role\n- Experience in launching a driverless product\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 \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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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 Waabi we develop a highly autonomous vehicle that integrates sensors, compute and actuators into a base vehicle. This is the platform which we use as the foundation for our Waabi Driver that uses novel generative AI algorithms to develop and scale an autonomous trucking solution very quickly. Ensuring that this platform is safe for supervised autonomy and driverless autonomy operations requires systems engineering practices like tracing product requirements to system requirements to tests and eventually test executions in order to build a very strong safety case. In this role you will work within the Platform Systems Engineering team and cross functionally with Hardware, Software and Operations at Waabi to define and realize verification methods by developing and executing tests.
\n
\nA strong focus will be on:
\n- Creating verification plans based on requirements
\n- Developing and documenting tests
\n- Executing tests with support from other test engineers
\n- Developing fault injection tools and techniques
\n
\nYou will…
\n- Own the creation, documentation, alignment and verification of autonomous platform requirements at Waabi and define ways for how to describe and evaluate them efficiently and effectively
\n- Act as a central point of contact at Waabi for specific platform-related verification methods and tests and communicate updates, progress and potential roadblocks to stakeholders at all levels
\n- Define necessary improvements for our highly realistic simulator to effectively verify most autonomous platform aspects under all required conditions and work with other teams at Waabi to get these improvements designed and implemented; this includes HIL/SIL verification methods
\n- Own the writing and tracking of tests and test executions in line with company project milestones
\n- Implement tools and methodologies to streamline and automate the Waabi platform verification processes where applicable
\n- Work with external partners on delivering a safe autonomous platform that has been verified and validated to support a strong safety case for the complete self-driving system
\n
\nExpectations:
\n- In-vehicle testing, to be conducted with the assistance of a vehicle operator
\n- 100% in-office presence when testing is needed
\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- Knowledge of the typical autonomous vehicle stack
\n- Systems engineering and verification and validation experience
\n- Experience with executing complex vehicle test campaigns
\n- Experience with functional safety, i.e. ISO 26262
\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- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
\n- Experience with vehicle actuation (brakes, steering, propulsion)
\n- Bring an in-depth understanding of sensors, compute and actuators used in the self-driving vehicle scope
\n
\nBonus/nice to have:
\n- Having a good understanding of how trucks work and are operated will also be helpful to be successful in this role
\n- Experience in launching a driverless product
\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
","id":"c45156f5-792e-459e-a312-435e66728733","lists":[],"text":"Systems Engineer - Test Platform Verification","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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":"At Waabi we develop a highly autonomous vehicle that integrates sensors, compute and actuators into a base vehicle. This is the platform which we use as the foundation for our Waabi Driver that uses novel generative AI algorithms to develop and scale an autonomous trucking solution very quickly. Ensuring that this platform is safe for supervised autonomy and driverless autonomy operations requires systems engineering practices like tracing product requirements to system requirements to tests and eventually test executions in order to build a very strong safety case. In this role you will work within the Platform Systems Engineering team and cross functionally with Hardware, Software and Operations at Waabi to define and realize verification methods by developing and executing tests.
\n
\nA strong focus will be on:
\n- Creating verification plans based on requirements
\n- Developing and documenting tests
\n- Executing tests with support from other test engineers
\n- Developing fault injection tools and techniques
\n
\nYou will…
\n- Own the creation, documentation, alignment and verification of autonomous platform requirements at Waabi and define ways for how to describe and evaluate them efficiently and effectively
\n- Act as a central point of contact at Waabi for specific platform-related verification methods and tests and communicate updates, progress and potential roadblocks to stakeholders at all levels
\n- Define necessary improvements for our highly realistic simulator to effectively verify most autonomous platform aspects under all required conditions and work with other teams at Waabi to get these improvements designed and implemented; this includes HIL/SIL verification methods
\n- Own the writing and tracking of tests and test executions in line with company project milestones
\n- Implement tools and methodologies to streamline and automate the Waabi platform verification processes where applicable
\n- Work with external partners on delivering a safe autonomous platform that has been verified and validated to support a strong safety case for the complete self-driving system
\n
\nExpectations:
\n- In-vehicle testing, to be conducted with the assistance of a vehicle operator
\n- 100% in-office presence when testing is needed
\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- Knowledge of the typical autonomous vehicle stack
\n- Systems engineering and verification and validation experience
\n- Experience with executing complex vehicle test campaigns
\n- Experience with functional safety, i.e. ISO 26262
\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- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
\n- Experience with vehicle actuation (brakes, steering, propulsion)
\n- Bring an in-depth understanding of sensors, compute and actuators used in the self-driving vehicle scope
\n
\nBonus/nice to have:
\n- Having a good understanding of how trucks work and are operated will also be helpful to be successful in this role
\n- Experience in launching a driverless product
\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
","descriptionBodyPlain":"At Waabi we develop a highly autonomous vehicle that integrates sensors, compute and actuators into a base vehicle. This is the platform which we use as the foundation for our Waabi Driver that uses novel generative AI algorithms to develop and scale an autonomous trucking solution very quickly. Ensuring that this platform is safe for supervised autonomy and driverless autonomy operations requires systems engineering practices like tracing product requirements to system requirements to tests and eventually test executions in order to build a very strong safety case. In this role you will work within the Platform Systems Engineering team and cross functionally with Hardware, Software and Operations at Waabi to define and realize verification methods by developing and executing tests.\n \nA strong focus will be on: \n- Creating verification plans based on requirements\n- Developing and documenting tests\n- Executing tests with support from other test engineers\n- Developing fault injection tools and techniques\n \nYou will…\n- Own the creation, documentation, alignment and verification of autonomous platform requirements at Waabi and define ways for how to describe and evaluate them efficiently and effectively\n- Act as a central point of contact at Waabi for specific platform-related verification methods and tests and communicate updates, progress and potential roadblocks to stakeholders at all levels\n- Define necessary improvements for our highly realistic simulator to effectively verify most autonomous platform aspects under all required conditions and work with other teams at Waabi to get these improvements designed and implemented; this includes HIL/SIL verification methods\n- Own the writing and tracking of tests and test executions in line with company project milestones\n- Implement tools and methodologies to streamline and automate the Waabi platform verification processes where applicable\n- Work with external partners on delivering a safe autonomous platform that has been verified and validated to support a strong safety case for the complete self-driving system\n \nExpectations:\n- In-vehicle testing, to be conducted with the assistance of a vehicle operator\n- 100% in-office presence when testing is needed\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- Knowledge of the typical autonomous vehicle stack\n- Systems engineering and verification and validation experience\n- Experience with executing complex vehicle test campaigns\n- Experience with functional safety, i.e. ISO 26262\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- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions\n- Experience with vehicle actuation (brakes, steering, propulsion)\n- Bring an in-depth understanding of sensors, compute and actuators used in the self-driving vehicle scope\n \nBonus/nice to have:\n- Having a good understanding of how trucks work and are operated will also be helpful to be successful in this role\n- Experience in launching a driverless product\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 \n","hostedUrl":"https://jobs.lever.co/waabi/c45156f5-792e-459e-a312-435e66728733","applyUrl":"https://jobs.lever.co/waabi/c45156f5-792e-459e-a312-435e66728733/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":"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…
- 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
- 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
- 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
- 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
- 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
- Own the writing and tracking of tests and test executions in line with company project milestones
- 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
- Implement tools and methodologies to streamline and automate the vehicle platform requirement processes where applicable
- 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
Qualifications:
- Undergrad required; Masters or PhD within an engineering discipline preferred
- 3+ years of automotive, robotics, aerospace or related industry experience
- Experience with requirements-specifications and metrics
- Experience with executing complex vehicle test campaigns
- Experience with methods and standards such as ISO 26262, SOTIF (ISO 21448) and / or UL 4600
- Strong fundamentals in mathematics, engineering and physics and basic understanding of vehicle dynamics
- Excellent data analysis skills with modern tools such as Python or Matlab
- Open-minded and collaborative leader who is eager to provide guidance and has the willingness to help others
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
- Experience with vehicle actuation (brakes, steering, propulsion)
Bonus/nice to have:
- Experience in launching a driverless product
- Experience in leading small teams of systems engineers
- Experience in the automotive self driving industry
- Experience building software systems from scratch
- Experience in robotics or machine learning
- Proficiency with data mining, mathematics, and statistical analysis
The 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…
- 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
- 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
- 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
- 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
- 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
- Own the writing and tracking of tests and test executions in line with company project milestones
- 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
- Implement tools and methodologies to streamline and automate the vehicle platform requirement processes where applicable
- 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
Qualifications:
- Undergrad required; Masters or PhD within an engineering discipline preferred
- 3+ years of automotive, robotics, aerospace or related industry experience
- Experience with requirements-specifications and metrics
- Experience with executing complex vehicle test campaigns
- Experience with methods and standards such as ISO 26262, SOTIF (ISO 21448) and / or UL 4600
- Strong fundamentals in mathematics, engineering and physics and basic understanding of vehicle dynamics
- Excellent data analysis skills with modern tools such as Python or Matlab
- Open-minded and collaborative leader who is eager to provide guidance and has the willingness to help others
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
- Experience with vehicle actuation (brakes, steering, propulsion)
Bonus/nice to have:
- Experience in launching a driverless product
- Experience in leading small teams of systems engineers
- Experience in the automotive self driving industry
- Experience building software systems from scratch
- Experience in robotics or machine learning
- Proficiency with data mining, mathematics, and statistical analysis
The 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":"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:\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\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:
Waabi provides a competitive benefits package that includes:
- Competitive compensation and equity awards.
- Health and wellness benefits encompassing Medical, Dental, and Vision coverage
- Paid parental, medical and family care leave.
- Generous PTO Policy
- Retirement savings plans including 401(k) or RRSP options.
- Health savings account contribution options.
- Daily drinks, snacks, and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- Additional benefits are offered and tailored to specific country locations.
- As we grow, this list continues to evolve!
Waabi 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!
Waabi 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\nYou will...\n- Manually drive Class 8 commercial vehicles safely and compliantly.\n- Manually drive passenger vehicles safely and compliantly.\n- Operate Class 8 autonomous vehicles on public roadways and test tracks.\n- Provide feedback about vehicle performance and capabilities.\n- Perform vehicle pre-trip and post-trip inspection to ensure safety and DOT compliance.\n- Maintain and improve the Waabi culture of excellence in safety\n \nQualifications:\n- CDL Class A driver’s licence\n- Minimum of 3 years of recent commercial driving experience with combination vehicles.\n- Clean background check, drug screen, and driving record.\n- Ability to use electronic logging device.\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- Comfortable with late night and weekend shifts.\n \nBonus/Nice to Have:\n- Previous vehicle autonomy experience.\n- Experience troubleshooting computer systems.\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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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- Manually drive Class 8 commercial vehicles safely and compliantly.
\n- Manually drive passenger vehicles safely and compliantly.
\n- Operate Class 8 autonomous vehicles on public roadways and test tracks.
\n- Provide feedback about vehicle performance and capabilities.
\n- Perform vehicle pre-trip and post-trip inspection to ensure safety and DOT compliance.
\n- Maintain and improve the Waabi culture of excellence in safety
\n
\nQualifications:
\n- CDL Class A driver’s licence
\n- Minimum of 3 years of recent commercial driving experience with combination vehicles.
\n- Clean background check, drug screen, and driving record.
\n- Ability to use electronic logging device.
\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- Comfortable with late night and weekend shifts.
\n
\nBonus/Nice to Have:
\n- Previous vehicle autonomy experience.
\n- Experience troubleshooting computer systems.
","id":"a7a2f637-0551-4387-af1f-32e76d170818","lists":[],"text":"Vehicle Operator (CDL)","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.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and 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- Manually drive Class 8 commercial vehicles safely and compliantly.
\n- Manually drive passenger vehicles safely and compliantly.
\n- Operate Class 8 autonomous vehicles on public roadways and test tracks.
\n- Provide feedback about vehicle performance and capabilities.
\n- Perform vehicle pre-trip and post-trip inspection to ensure safety and DOT compliance.
\n- Maintain and improve the Waabi culture of excellence in safety
\n
\nQualifications:
\n- CDL Class A driver’s licence
\n- Minimum of 3 years of recent commercial driving experience with combination vehicles.
\n- Clean background check, drug screen, and driving record.
\n- Ability to use electronic logging device.
\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- Comfortable with late night and weekend shifts.
\n
\nBonus/Nice to Have:
\n- Previous vehicle autonomy experience.
\n- Experience troubleshooting computer systems.
","descriptionBodyPlain":"You will...\n- Manually drive Class 8 commercial vehicles safely and compliantly.\n- Manually drive passenger vehicles safely and compliantly.\n- Operate Class 8 autonomous vehicles on public roadways and test tracks.\n- Provide feedback about vehicle performance and capabilities.\n- Perform vehicle pre-trip and post-trip inspection to ensure safety and DOT compliance.\n- Maintain and improve the Waabi culture of excellence in safety\n \nQualifications:\n- CDL Class A driver’s licence\n- Minimum of 3 years of recent commercial driving experience with combination vehicles.\n- Clean background check, drug screen, and driving record.\n- Ability to use electronic logging device.\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- Comfortable with late night and weekend shifts.\n \nBonus/Nice to Have:\n- Previous vehicle autonomy experience.\n- Experience troubleshooting computer systems.\n","hostedUrl":"https://jobs.lever.co/waabi/a7a2f637-0551-4387-af1f-32e76d170818","applyUrl":"https://jobs.lever.co/waabi/a7a2f637-0551-4387-af1f-32e76d170818/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!\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!
\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"]},"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…\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%\nQualifications:\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","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…
- Quickly identify and diagnose issues that arise during vehicle testing and on-road operations.
- Utilize deep technical knowledge of both hardware and software to address failures and anomalies.
- Implement documented temporary fixes or workarounds to keep vehicles operational while permanent solutions are developed.
- Ensure that every applied workaround maintains safety and performance standards.
- Rigorously log, track, and document all vehicle issues using robust diagnostic and issue-tracking systems.
- Provide detailed reports that include reproduction steps, diagnostic data, and recommended actions.
- Collaborate with cross-functional teams—spanning software, hardware, and operations—to conduct thorough root cause analyses on recurring issues.
- Translate technical data and observations into actionable insights for long-term system improvements.
- Recommend and implement process improvements and preventive measures to enhance overall vehicle reliability.
- Participate in both pre-test and post-test evaluations, ensuring vehicles are test-ready and that any issues are promptly addressed.
- Serve as the technical point of contact during vehicle testing
- Identify opportunities to streamline troubleshooting protocols, automate diagnostic routines, and improve data capture methods to boost operational efficiency.
- 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.
- 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.
- Travel required 10%
\n
Qualifications:
- 5+ years of hands-on experience in automotive, robotics, aerospace, or a related industry with a focus on troubleshooting complex vehicle systems.
- Proficient with Linux-based systems and command-line diagnostics.
- Solid understanding of computer networking fundamentals.
- Experienced in CAN bus diagnostics and the use of automotive diagnostic tools.
- Strong data analysis capabilities with familiarity in using spreadsheets or scripting languages
- Excellent written and verbal communication skills, with a proven ability to document technical issues clearly and work collaboratively with multidisciplinary teams.
- Bachelor’s degree in Mechanical, Electrical, or Computer Engineering (or related field) or equivalent hands-on experience.
\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…
- Quickly identify and diagnose issues that arise during vehicle testing and on-road operations.
- Utilize deep technical knowledge of both hardware and software to address failures and anomalies.
- Implement documented temporary fixes or workarounds to keep vehicles operational while permanent solutions are developed.
- Ensure that every applied workaround maintains safety and performance standards.
- Rigorously log, track, and document all vehicle issues using robust diagnostic and issue-tracking systems.
- Provide detailed reports that include reproduction steps, diagnostic data, and recommended actions.
- Collaborate with cross-functional teams—spanning software, hardware, and operations—to conduct thorough root cause analyses on recurring issues.
- Translate technical data and observations into actionable insights for long-term system improvements.
- Recommend and implement process improvements and preventive measures to enhance overall vehicle reliability.
- Participate in both pre-test and post-test evaluations, ensuring vehicles are test-ready and that any issues are promptly addressed.
- Serve as the technical point of contact during vehicle testing
- Identify opportunities to streamline troubleshooting protocols, automate diagnostic routines, and improve data capture methods to boost operational efficiency.
- 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.
- 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.
- Travel required 10%
\n
Qualifications:
- 5+ years of hands-on experience in automotive, robotics, aerospace, or a related industry with a focus on troubleshooting complex vehicle systems.
- Proficient with Linux-based systems and command-line diagnostics.
- Solid understanding of computer networking fundamentals.
- Experienced in CAN bus diagnostics and the use of automotive diagnostic tools.
- Strong data analysis capabilities with familiarity in using spreadsheets or scripting languages
- Excellent written and verbal communication skills, with a proven ability to document technical issues clearly and work collaboratively with multidisciplinary teams.
- Bachelor’s degree in Mechanical, Electrical, or Computer Engineering (or related field) or equivalent hands-on experience.
\n