[{"additionalPlain":"Teleo is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. All qualified people are encouraged to apply.\n","additional":"Teleo is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. All qualified people are encouraged to apply.
","categories":{"commitment":"Full-Time","location":"Various","team":"Operations","allLocations":["Various"]},"createdAt":1792783193587,"descriptionPlain":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.\n\n\nJob Summary:\nThe Field Electro-Mechanical Tech will work directly with mining and construction customers to install, integrate, and maintain Teleo’s remote operation and AI systems on heavy equipment. This role requires strong hands-on mechanical and electrical aptitude, the ability to work independently in field environments, and a willingness to learn complex, cross-domain systems.\nYou will travel to customer sites (50%+ travel required), operating within customer time constraints and safety conditions to complete installations of Teleo’s hardware, electrical, and network systems\n","description":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.
\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.
\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.
\n
Job Summary:
\n
The Field Electro-Mechanical Tech will work directly with mining and construction customers to install, integrate, and maintain Teleo’s remote operation and AI systems on heavy equipment. This role requires strong hands-on mechanical and electrical aptitude, the ability to work independently in field environments, and a willingness to learn complex, cross-domain systems.
\n
You will travel to customer sites (50%+ travel required), operating within customer time constraints and safety conditions to complete installations of Teleo’s hardware, electrical, and network systems
\n
\n
\n- \n
Measuring and integrating mechanical and electrical components
\n \n- \n
Installing and optimizing on-equipment systems and network infrastructure
\n \n- \n
Troubleshooting mechanical, electrical, and connectivity issues
\n \n- \n
Supporting new vehicle, control station, and network deployments
\n \n- \n
Performing routine maintenance and service visits
\n \n\n
\n
\n- \n
Excellent time management skills with a proven ability to meet deadlines.
\n \n- \n
Strong analytical and problem-solving skills.
\n \n- \n
Ability to prioritize tasks and to delegate them when appropriate.
\n \n\n
\n
\n- \n
2+ years of experience in a Technician or Mechanic role
\n \n- \n
Experience in Mining, Construction, Mechanical, Automotive, or other Industrial fields
\n \n- \n
Experience integrating mechanical, electrical, and hydraulic systems preferred
\n \n- \n
Hands-on experience with electrical systems, including rework and splicing
\n \n- \n
Ability to use electrical test instruments (multimeter, continuity tester, etc.)
\n \n- \n
Comfortable working from technical drawings and schematics
\n \n- \n
Proficient with computers (email, chat tools, spreadsheets, documentation)
\n \n- \n
Comfortable using power tools (grinder, drill, fabrication tools) and performing mechanical assemblies
\n \n- \n
Physically capable of performing field work, including lifting, climbing, and working on heavy equipment
\n \n- \n
Ability and willingness to travel 50%+ to customer sites (regional driving and periodic out-of-state travel)
\n \n- \n
Strong communication skills and professional customer interaction
\n \n- \n
Demonstrated willingness to learn and grow in a fast-paced, evolving technical environment
\n \n- \n
Strong work ethic and accountability
\n \n\n
\n
\n- \n
Performance of the position requires working safely and may occasionally require climbing up to elevated surfaces, working outdoors in a variety of weather conditions, noise levels, and on a range of outdoor work surfaces.
\n \n- \n
Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and the ability to adjust focus.
\n \n- \n
The position requires frequent movement and activity relating to using keyboards, viewing data on computer displays, and communicating verbally and in writing.
\n \n- \n
Ability and willingness to travel to customer sites (locally with several hours of driving or travel out of state).
\n \n- \n
You will need to stand for extended periods, operate tools and controls, and occasionally lift and move 50 lbs.
\n \n\n
Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.
\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.
\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.
","openingPlain":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.\n","descriptionBody":"\n
Job Summary:
\n
The Field Electro-Mechanical Tech will work directly with mining and construction customers to install, integrate, and maintain Teleo’s remote operation and AI systems on heavy equipment. This role requires strong hands-on mechanical and electrical aptitude, the ability to work independently in field environments, and a willingness to learn complex, cross-domain systems.
\n
You will travel to customer sites (50%+ travel required), operating within customer time constraints and safety conditions to complete installations of Teleo’s hardware, electrical, and network systems
\n
Teleo is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. All qualified people are encouraged to apply.
","categories":{"commitment":"Full-Time","location":"Palo Alto, CA","team":"Operations","allLocations":["Palo Alto, CA"]},"createdAt":1792782979716,"descriptionPlain":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.\n\n\nJob Summary:\nThe Field Electro-Mechanical Tech will work directly with mining and construction customers to install, integrate, and maintain Teleo’s remote operation and AI systems on heavy equipment. This role requires strong hands-on mechanical and electrical aptitude, the ability to work independently in field environments, and a willingness to learn complex, cross-domain systems.\nYou will travel to customer sites (50%+ travel required), operating within customer time constraints and safety conditions to complete installations of Teleo’s hardware, electrical, and network systems\n","description":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.
\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.
\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.
\n
Job Summary:
\n
The Field Electro-Mechanical Tech will work directly with mining and construction customers to install, integrate, and maintain Teleo’s remote operation and AI systems on heavy equipment. This role requires strong hands-on mechanical and electrical aptitude, the ability to work independently in field environments, and a willingness to learn complex, cross-domain systems.
\n
You will travel to customer sites (50%+ travel required), operating within customer time constraints and safety conditions to complete installations of Teleo’s hardware, electrical, and network systems
\n
\n
\n- \n
Measuring and integrating mechanical and electrical components
\n \n- \n
Installing and optimizing on-equipment systems and network infrastructure
\n \n- \n
Troubleshooting mechanical, electrical, and connectivity issues
\n \n- \n
Supporting new vehicle, control station, and network deployments
\n \n- \n
Performing routine maintenance and service visits
\n \n\n
\n
\n- \n
Excellent time management skills with a proven ability to meet deadlines.
\n \n- \n
Strong analytical and problem-solving skills.
\n \n- \n
Ability to prioritize tasks and to delegate them when appropriate.
\n \n\n
\n- \n
2+ years of experience in a Technician or Mechanic role
\n \n- \n
Experience in Mining, Construction, Mechanical, Automotive, or other Industrial fields
\n \n- \n
Experience integrating mechanical, electrical, and hydraulic systems preferred
\n \n- \n
Hands-on experience with electrical systems, including rework and splicing
\n \n- \n
Ability to use electrical test instruments (multimeter, continuity tester, etc.)
\n \n- \n
Comfortable working from technical drawings and schematics
\n \n- \n
Proficient with computers (email, chat tools, spreadsheets, documentation)
\n \n- \n
Comfortable using power tools (grinder, drill, fabrication tools) and performing mechanical assemblies
\n \n- \n
Physically capable of performing field work, including lifting, climbing, and working on heavy equipment
\n \n- \n
Ability and willingness to travel 50%+ to customer sites (regional driving and periodic out-of-state travel)
\n \n- \n
Strong communication skills and professional customer interaction
\n \n- \n
Demonstrated willingness to learn and grow in a fast-paced, evolving technical environment
\n \n- \n
Strong work ethic and accountability
\n \n
"},{"text":"Physical Requirements:","content":"\n
\n- \n
Performance of the position requires working safely and may occasionally require climbing up to elevated surfaces, working outdoors in a variety of weather conditions, noise levels, and on a range of outdoor work surfaces.
\n \n- \n
Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and the ability to adjust focus.
\n \n- \n
The position requires frequent movement and activity relating to using keyboards, viewing data on computer displays, and communicating verbally and in writing.
\n \n- \n
Ability and willingness to travel to customer sites (locally with several hours of driving or travel out of state).
\n \n- \n
You will need to stand for extended periods, operate tools and controls, and occasionally lift and move 50 lbs.
\n \n\n
Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.
\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.
\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.
","openingPlain":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.\n","descriptionBody":"\n
Job Summary:
\n
The Field Electro-Mechanical Tech will work directly with mining and construction customers to install, integrate, and maintain Teleo’s remote operation and AI systems on heavy equipment. This role requires strong hands-on mechanical and electrical aptitude, the ability to work independently in field environments, and a willingness to learn complex, cross-domain systems.
\n
You will travel to customer sites (50%+ travel required), operating within customer time constraints and safety conditions to complete installations of Teleo’s hardware, electrical, and network systems
\n
Teleo is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. All qualified people are encouraged to apply.
","categories":{"commitment":"Full-Time","location":"Palo Alto, CA","team":"Engineering","allLocations":["Palo Alto, CA"]},"createdAt":1791442195008,"descriptionPlain":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.\n\n\nThe Role\nThe Head of Autonomy owns Teleo's autonomy stack end to end and leads the team that builds it. You will lead the engineering team across perception, simulation, controls, path planning, fleet orchestration, learning-based methods (RL, imitation learning, and VLA-style models), and MLOps.\nThis is a senior player-coach role. You will set the technical direction, make the architecture calls, and stay close enough to the code and the field data to review designs in depth. You will also hire, grow, and run the team, and be accountable for autonomy performance on customer deployments across several machine types.\nThe core technical problem is taking a stack that works today in supervised autonomy on real job sites and scaling it: more machine types, more sites, more material-manipulation tasks, and fewer operator interventions per hour, without compromising safety.\n","description":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.
\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.
\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.
\n
The Role
\n
The Head of Autonomy owns Teleo's autonomy stack end to end and leads the team that builds it. You will lead the engineering team across perception, simulation, controls, path planning, fleet orchestration, learning-based methods (RL, imitation learning, and VLA-style models), and MLOps.
\n
This is a senior player-coach role. You will set the technical direction, make the architecture calls, and stay close enough to the code and the field data to review designs in depth. You will also hire, grow, and run the team, and be accountable for autonomy performance on customer deployments across several machine types.
\n
The core technical problem is taking a stack that works today in supervised autonomy on real job sites and scaling it: more machine types, more sites, more material-manipulation tasks, and fewer operator interventions per hour, without compromising safety.
\n
\n
Technical leadership
\n\n
Own the autonomy architecture from sensors to actuation: perception, localization, world modeling, planning, control, and the interfaces between them\n
Set the roadmap for moving from hand-engineered components to learned ones (imitation learning, RL, VLA-style policies), and decide where classical methods should stay\n
Drive a composable, skill-based approach to material manipulation (loading, pushing, scooping, dumping, digging) that transfers across machine types\n
Build the simulation and data engine: operator data capture, sim-to-real validation, closed-loop evaluation, and regression testing tied to field metrics\n
Scale autonomy to multi-machine fleets working alongside remote operators, including task allocation and coordination on shared sites\n
Shorten the time to bring autonomy up on a new vehicle model, working closely with hardware and vehicle integration\n
Define safety cases and release gates for autonomy software, in partnership with safety and compliance\n
Work with the hardware and software teams to make compute, sensor, and onboard performance trade-offs for the Teleo product and fleet\n\n
People leadership
\n\n
Manage the autonomy team directly, including technical leads for each area\n
Hire and retain strong engineers; grow the team as deployments scale\n
Run planning, prioritization, and execution for the autonomy org; set clear goals and hold a high bar on code and review quality\n
Coach engineers on technical depth and career growth; build leads where the team needs them\n
Represent autonomy to executive leadership, customers, and partners, and translate field needs into engineering priorities\n\n
You will lead engineers across the following areas. Sizes will shift as priorities change.
\n\nPerception: camera and lidar fusion, off-road segmentation, detection and tracking, localization and mapping, auto-labeling\nSimulation: machine and terrain simulation, material interaction, scenario generation, sim-to-real validation\nControls: system identification, MPC, learned and hybrid controllers across tracked and wheeled platforms\nPath planning: motion and task planning for dozers, loaders, excavators, and skid steers on unstructured sites\nFleet orchestration: multi-machine coordination, task allocation, and the interface to remote operators\nLearning-based autonomy: RL, imitation learning from operator data, and VLA-style models for material manipulation\nMLOps: data pipelines, training infrastructure, model evaluation, and deployment to the fleet\n"},{"text":"Requirements","content":"\nM.S. or Ph.D. in Robotics, Computer Science, Electrical or Mechanical Engineering, or a related field, or equivalent experience\n10+ years building autonomy or robotics software, with at least 5 years managing engineering teams, including managers or technical leads\nShipped autonomy that runs on physical robots or vehicles in real operating conditions, not only in simulation\nHands-on depth in at least two of: perception, planning, controls, simulation, or learning-based control, and working fluency across the full stack\nPractical experience with learning-based methods (imitation learning, RL, or large pretrained models) and a clear view of where they beat classical approaches and where they don't\nBuilt or run data and evaluation infrastructure that tied model changes to field performance\nStrong C++ and Python; able to review code and designs at a senior engineer's level\nExperience deploying autonomy and ML models on embedded compute (NVIDIA Jetson-class or similar)\nTrack record of hiring and developing strong engineers\nComfortable working on-site in Palo Alto and spending time in the field on job sites and test areas\nMust be a U.S. person (U.S. citizen or lawful permanent resident) due to export control requirements\n"},{"text":"Preferred Qualifications","content":"\n
\n- Autonomy for off-road, construction, mining, agriculture, or defense ground vehicles
\n- Hydraulic machines or articulated manipulators, including system identification and control of hydraulic actuators
\n- Behavior cloning from human operator data and sim-to-real transfer for contact-rich tasks
\n- Multi-robot coordination or fleet management systems
\n- Supervised autonomy or teleoperation systems, and designing for human intervention
\n- Functional safety (ISO 13849, IEC 61508, ISO 25119 or similar) and safety cases for autonomous systems
\n\n
\n
\n- Took an autonomy product from prototype to multi-site commercial deployment
\n- Led autonomy work on defense programs
\n- Scaled a team through a period of fast growth
\n\n
\n
\n- Took an autonomy product from prototype to multi-site commercial deployment
\n- Led autonomy work on defense programs
\n- Scaled a team through a period of fast growth
\n
\n
Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.
\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.
\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.
","openingPlain":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.\n","descriptionBody":"\n
The Role
\n
The Head of Autonomy owns Teleo's autonomy stack end to end and leads the team that builds it. You will lead the engineering team across perception, simulation, controls, path planning, fleet orchestration, learning-based methods (RL, imitation learning, and VLA-style models), and MLOps.
\n
This is a senior player-coach role. You will set the technical direction, make the architecture calls, and stay close enough to the code and the field data to review designs in depth. You will also hire, grow, and run the team, and be accountable for autonomy performance on customer deployments across several machine types.
\n
The core technical problem is taking a stack that works today in supervised autonomy on real job sites and scaling it: more machine types, more sites, more material-manipulation tasks, and fewer operator interventions per hour, without compromising safety.
\n
Teleo is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. All qualified people are encouraged to apply.
","categories":{"commitment":"Full-Time","location":"Palo Alto, CA","team":"Engineering","allLocations":["Palo Alto, CA"]},"createdAt":1790627157529,"descriptionPlain":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.\n\n\nAbout the Role\nWe are looking for a Lead Manufacturing Engineer, Contract Manufacturing, to sit at the intersection of Teleo engineering and contract manufacturing, supporting our autonomy retrofit kits from prototype through a stable transition to CM, and owning production from there. You'll collaborate with Teleo's cross-functional engineering, operations and PM teams on internal prototyping and manufacturing-process development, then own the handoff to the CM and shift into overseeing CM delivery, cost, and quality — acting as the primary point of contact when issues arise at the CM.\n","description":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.
\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.
\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.
\n
About the Role
\n
We are looking for a Lead Manufacturing Engineer, Contract Manufacturing, to sit at the intersection of Teleo engineering and contract manufacturing, supporting our autonomy retrofit kits from prototype through a stable transition to CM, and owning production from there. You'll collaborate with Teleo's cross-functional engineering, operations and PM teams on internal prototyping and manufacturing-process development, then own the handoff to the CM and shift into overseeing CM delivery, cost, and quality — acting as the primary point of contact when issues arise at the CM.
\n
\n
\n- \n
Partners with engineering on process design and DFX (DFM/DFA/DFT/DFS) for kit builds, fixtures, work instructions, routers, build sequencing, translating designs into a CM-ready package before handoff
\n \n- \n
Owns the handoff from Teleo engineering to the CM: process validation, first-article approval, and clear-to-build sign-off via BRR/MRR (Build/Material Readiness Review), confirming parts, documentation, and ECO status are ready for the CM to execute against
\n \n- \n
Own CM performance post-transition: delivery, cost, and quality against target; first line of defense for floor issues, with authority to hold CM shipment pending disposition
\n \n- \n
Coordinate ECRs/ECOs between the CM and Teleo engineering; keep build documentation current on both sides
\n \n- \n
Monitors on-time delivery and cost at the CM; drives root cause analysis and corrective action on production issues
\n \n- \n
Enforce quality (inspection, non-conformance, CAPA) and inventory control (WIP, cycle counts, reconciliation) at the CM
\n \n- \n
Oversee finished-goods kitting, correct configuration, packaging, and staging for shipment to a partner site or inventory
\n \n- \n
Support NPI and ramp-to-volume; specify and validate tooling/fixtures and test stations (in-line and EOL) for new build stations
\n \n- \n
Track yield, cycle time, and scrap/rework rate; drive down variance
\n \n\n
\n
\n- \n
Bachelor's degree in Mechanical, Electrical, or Manufacturing Engineering
\n \n- \n
5+ years in manufacturing or process engineering on electro-mechanical hardware that actually ships to the field
\n \n- \n
Hands-on with SOP development, box builds, PCB/A, harness and cable assembly manufacturing, and FW/SW flashing
\n \n- \n
Comfortable around autonomy systems; integration, test, and validation of sensor/compute hardware (LiDAR, camera, radar, compute)
\n \n- \n
Working knowledge of mechanical processes (CNC, casting, sheet metal, powder coating, jigs/fixtures), enough to judge whether a part or process will hold up in the field, and what to flag at the CM's FATP line
\n \n- \n
Advanced proficiency interpreting mechanical and electrical designs, with working knowledge of GD&T, tolerance stacking, and basic SPC
\n \n- \n
DFM/DFA/DFT experience across NPI, ramp, and scale, able to look at a design and flag manufacturability issues early
\n \n- \n
Strong root-cause instincts; can write build docs a CM tech can follow with zero design context
\n \n- \n
CM management experience, on-site support and running ECR/ECO across two organizations
\n \n- \n
Working knowledge of QMS (ISO 9001, AS9100, MIL-STD), supplier/vendor quality management (incoming inspection, SCAR, vendor scorecards), and inventory control at a CM
\n \n- \n
Familiar with CAD (Onshape or similar) and EE design tools (KiCAD, Altium or similar)
\n \n- \n
Familiar with ERP/PLM/inventory systems (NetSuite, Ironflow, Odoo, etc.)
\n \n- \n
Skilled at using AI tools to accelerate manufacturing workflows automating data review
\n \n\n
\n
\n- \n
Experience retrofitting or manufacturing autonomous vehicles, off-highway, construction, defense equipment
\n \n- \n
Experience with C++ and Python for coding, scripting, debugging, building UIs, building test benches, and troubleshooting
\n \n\n
Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.
\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.
\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.
","openingPlain":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.\n","descriptionBody":"\n
About the Role
\n
We are looking for a Lead Manufacturing Engineer, Contract Manufacturing, to sit at the intersection of Teleo engineering and contract manufacturing, supporting our autonomy retrofit kits from prototype through a stable transition to CM, and owning production from there. You'll collaborate with Teleo's cross-functional engineering, operations and PM teams on internal prototyping and manufacturing-process development, then own the handoff to the CM and shift into overseeing CM delivery, cost, and quality — acting as the primary point of contact when issues arise at the CM.
\n
Teleo is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. All qualified people are encouraged to apply.
","categories":{"commitment":"Full-Time","location":"Palo Alto, CA","team":"Engineering","allLocations":["Palo Alto, CA"]},"createdAt":1771025833177,"descriptionPlain":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.\n\n\nAbout the Role\n \nOwn the transition from manually tuned MPC-based vehicle control to learning-driven control policies that adapt across vehicles with minimal human intervention, while maintaining safety and interpretability.\n","description":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.
\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.
\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.
About the Role
\n
\nOwn the transition from manually tuned MPC-based vehicle control to learning-driven control policies that adapt across vehicles with minimal human intervention, while maintaining safety and interpretability.
","id":"26c8c2c3-37df-4db0-8dc6-ee95953bc422","lists":[{"text":"Core Responsibilities","content":"\nPractical understanding of vehicle dynamics and system identification\nPractical experience in generating test plans, collecting real-world data, and using real-world data for system identification of plant models for automatic control.\nDesign and implement learning-based control approaches (imitation learning, reinforcement learning, hybrid MPC + learning)\nReduce dependence on hand-tuned control parameters through data-driven methods\nIntegrate learned controllers into the existing vehicle control stack safely and incrementally\nDefine interfaces between classical control (MPC, PID, state estimation) and learning-based components\nWork closely with the Principal Controls Engineer to translate classical control insights into learning-friendly formulations\nEstablish validation criteria for learned control policies before real-vehicle deployment\n"},{"text":"Required Qualifications","content":"\n2-3 years of experience with experimental data collection and data analysis to estimate parameters of a plant model used for automatic control\nStrong software engineering skills in C, C++, or Python (production-quality code)\nDeep understanding of modern robotics control systems\nExperience with learning-based control or policy optimization for real-world systems\nComfort working close to hardware and real-time constraints\n"},{"text":"Preferred Qualification","content":"\nReinforcement learning or imitation learning for control\nModel-based RL, residual learning, or hybrid MPC architectures\nControl under uncertainty and partial observability\nDebugging and validating control systems on physical platforms\n"},{"text":"Bonus Points","content":"\nExperience deploying learned controllers on vehicles or mobile robots\nFamiliarity with safety-constrained learning methods\nBackground spanning both classical and modern control theory\n"}],"text":"Senior Autonomy Controls Engineer – Learning-Based Control","country":"US","workplaceType":"onsite","opening":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.
\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.
\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.
","openingPlain":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.\n","descriptionBody":"About the Role
\n
\nOwn the transition from manually tuned MPC-based vehicle control to learning-driven control policies that adapt across vehicles with minimal human intervention, while maintaining safety and interpretability.
","descriptionBodyPlain":"About the Role\n \nOwn the transition from manually tuned MPC-based vehicle control to learning-driven control policies that adapt across vehicles with minimal human intervention, while maintaining safety and interpretability.\n","hostedUrl":"https://jobs.lever.co/teleo/26c8c2c3-37df-4db0-8dc6-ee95953bc422","applyUrl":"https://jobs.lever.co/teleo/26c8c2c3-37df-4db0-8dc6-ee95953bc422/apply"},{"additionalPlain":"Teleo is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. All qualified people are encouraged to apply.\n","additional":"Teleo is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. All qualified people are encouraged to apply.
","categories":{"commitment":"Full-Time","location":"Palo Alto, CA","team":"Engineering","allLocations":["Palo Alto, CA"]},"createdAt":1777571661718,"descriptionPlain":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.\n\n\nMission\nOwn Teleo's board-level electrical hardware from schematic to production. Take ownership of existing PCB designs, bring them up to a professional standard, and establish the processes and rigor needed to design, validate, and manufacture reliable boards at the pace of a fast-growing startup.\n","description":"\n
Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.
\n
Teleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.
\n
This is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.
\n
\n
Mission
\n
Own Teleo's board-level electrical hardware from schematic to production. Take ownership of existing PCB designs, bring them up to a professional standard, and establish the processes and rigor needed to design, validate, and manufacture reliable boards at the pace of a fast-growing startup.
\n
\n
\n- \n
Own the full lifecycle of PCB design: schematic capture, layout, simulation, prototyping, validation, and production release
\n \n- \n
Take ownership of existing board designs — clean up schematics, BOMs, and documentation to a maintainable, professional standard
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Design power stages, sensor interfaces, high-precision analog I/O, digital I/O, and galvanic isolation circuits
\n \n- \n
Establish and own validation and test practices: bench testing, ESD, load testing, resonance tuning, and whatever else the design demands
\n \n- \n
Manage DFM reviews and own the relationship with contract manufacturers and fab houses
\n \n- \n
Own compliance and EMC testing
\n \n- \n
Collaborate with the embedded firmware team on board bring-up and hardware-software integration
\n \n- \n
Provide high-level systems guidance on cable harnesses and electrical architecture to junior engineers
\n \n\n
\n
\n- \n
B.S. in Electrical Engineering, Mechatronics, or a related technical field.
\n \n- \n
5+ years of professional electrical engineering experience with a focus on PCB design through production
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Strong analog and digital circuit design fundamentals
\n \n- \n
Experience designing low-voltage power circuits with high-current stages
\n \n- \n
Proficient in KiCad (schematic capture, layout, BOM management)
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Hands-on validation and debugging: oscilloscopes, multimeters, power supplies, load testing
\n \n- \n
Experience managing contract manufacturers and fab houses through DFM and production
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Demonstrated ability to own board designs end to end with minimal oversight
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Comfortable working on-site in Palo Alto, CA
\n \n\n
\n
\n- \n
Mixed-signal design: high-precision analog, sensor interfaces, galvanic isolation
\n \n- \n
DFM practices: panelization, tolerancing, component selection for manufacturability
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Compliance and EMC testing processes
\n \n- \n
Rapid iteration: comfortable spinning boards quickly without sacrificing quality
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Maintaining clean, well-documented schematics and BOMs across multiple active designs
\n \n\n
\n
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Experience in automotive, heavy equipment, or ruggedized industrial environments
\n \n- \n
Familiarity with embedded firmware concepts — enough to be a strong partner during bring-up
\n \n- \n
Experience establishing electrical engineering standards and validation processes on a small team
\n \n- \n
Early-stage startup experience — comfortable with broad ownership and fast iteration
\n \n\n
\n
Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.
\n
Teleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.
\n
This is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.
\n
\n
Mission
\n
Own Teleo's board-level electrical hardware from schematic to production. Take ownership of existing PCB designs, bring them up to a professional standard, and establish the processes and rigor needed to design, validate, and manufacture reliable boards at the pace of a fast-growing startup.
\n
Teleo is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. All qualified people are encouraged to apply.
","categories":{"commitment":"Full-Time","location":"Palo Alto, CA","team":"Engineering","allLocations":["Palo Alto, CA"]},"createdAt":1771024543738,"descriptionPlain":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.\n\n\nAbout the Role\n \nOwn and professionalize Teleo's full-stack platform. Unify fragmented internal tools and customer-facing products into a cohesive, production-grade stack. Establish engineering standards for web and cloud development across the company and scale the platform as the business grows.\n","description":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.
\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.
\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.
About the Role
\n
\nOwn and professionalize Teleo's full-stack platform. Unify fragmented internal tools and customer-facing products into a cohesive, production-grade stack. Establish engineering standards for web and cloud development across the company and scale the platform as the business grows.
","id":"1e86b394-8054-4651-ba25-58765e935efb","lists":[{"text":"Core Responsibilities","content":"\nOwn the architecture and development of customer-facing dashboards and internal tools\nConsolidate and harden a landscape of full-stack applications into maintainable, well-tested production services\nDefine and enforce engineering standards: API design, code quality, testing, CI/CD, and deployment practices for all full-stack work\nBuild and maintain backend services in Python and Node.js on AWS (Lambda, EC2, DynamoDB, S3, Cognito)\nDevelop responsive frontend experiences in React with TypeScript\nManage cloud infrastructure using infrastructure-as-code (Terraform or CDK)\nIntegrate with hardware systems via REST APIs and WebSockets for control and telemetry\nParticipate in remote support rotations, including occasional early/late hours\n"},{"text":"Required Qualifications","content":"\n4+ years of professional full-stack development (Python + React/TypeScript)\nStrong backend fundamentals: REST API design, authentication, database modeling\nProduction AWS experience (Lambda, EC2, S3, DynamoDB, or comparable services)\nDevOps experience: CI/CD pipelines, deployment automation, and production operations\nDemonstrated ability to own and ship products end-to-end with minimal oversight\nComfortable working in office in Palo Alto, CA\n"},{"text":"Preferred Qualification","content":"\nInfrastructure-as-code: Terraform, CDK, or CloudFormation\nFrontend state management, component architecture, and modern React patterns\nSecuring and hardening web applications for production use\nMonitoring, logging, and alerting for production web services\nWorking across multiple codebases and projects simultaneously\n"},{"text":"Bonus Points","content":"\nEarly-stage startup experience, comfortable with ambiguity, fast iteration, and wearing multiple hats\nHardware-adjacent experience: comfortable with telemetry systems, embedded device interfaces, or basic electronics concepts\nExperience with ROS\nExperience with C/C++\n"}],"text":"Senior Full Stack Engineer","country":"US","workplaceType":"onsite","opening":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.
\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.
\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.
","openingPlain":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.\n","descriptionBody":"About the Role
\n
\nOwn and professionalize Teleo's full-stack platform. Unify fragmented internal tools and customer-facing products into a cohesive, production-grade stack. Establish engineering standards for web and cloud development across the company and scale the platform as the business grows.
","descriptionBodyPlain":"About the Role\n \nOwn and professionalize Teleo's full-stack platform. Unify fragmented internal tools and customer-facing products into a cohesive, production-grade stack. Establish engineering standards for web and cloud development across the company and scale the platform as the business grows.\n","hostedUrl":"https://jobs.lever.co/teleo/1e86b394-8054-4651-ba25-58765e935efb","applyUrl":"https://jobs.lever.co/teleo/1e86b394-8054-4651-ba25-58765e935efb/apply"},{"additionalPlain":"Teleo is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. All qualified people are encouraged to apply.\n","additional":"Teleo is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. All qualified people are encouraged to apply.
","categories":{"commitment":"Full-Time","location":"Palo Alto, CA","team":"Engineering","allLocations":["Palo Alto, CA"]},"createdAt":1771892245980,"descriptionPlain":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.\n\n\nAbout the Role\n \nAs a Senior Vehicle Systems Integration Engineer, you will own the architectural integrity and field robustness of Teleo’s autonomy retrofit system across multiple heavy equipment platforms.\n \nThis is a high-impact position where you will go beyond routine execution to shape hardware architecture, drive environmental qualification strategies, and establish more rigorous standards for integration and validation. \n \nYou will collaborate closely with our existing senior engineers to navigate cross-functional design tradeoffs, helping the team evolve our systems for better reusability and certification readiness as we scale. \n \nThe role also includes approximately 10% travel within the United States\n","description":"\n
Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.
\n
Teleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.
\n
This is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.
\n
About the Role
\n
\nAs a Senior Vehicle Systems Integration Engineer, you will own the architectural integrity and field robustness of Teleo’s autonomy retrofit system across multiple heavy equipment platforms.
\n
\nThis is a high-impact position where you will go beyond routine execution to shape hardware architecture, drive environmental qualification strategies, and establish more rigorous standards for integration and validation.
\n
\nYou will collaborate closely with our existing senior engineers to navigate cross-functional design tradeoffs, helping the team evolve our systems for better reusability and certification readiness as we scale.
\n
\nThe role also includes approximately 10% travel within the United States
","id":"b43b0b59-d4f5-4cc2-ba50-60789f280998","lists":[{"text":"Responsibilities","content":"\nLead system-level integration architecture for new vehicle platforms\nDefine scalable, reusable integration frameworks across equipment types.\nDesign and review mechanical structures, enclosures, and compute integration strategies\nOwn environmental qualification strategy (IP, thermal, shock/vibration, EMI/EMC)\nGuide sensor and high-power compute integration in demanding environments\nDrive harness architecture, grounding strategy, and connector selection standards\nEstablish validation methodologies and qualification test plans\nMentor engineers in systems thinking and first-principles design\nTroubleshoot complex cross-domain issues in fielded systems\n"},{"text":"Required Qualifications","content":"\nBachelor’s or Master’s degree in Mechanical Engineering, Mechatronics, or a closely related field\n7+ years of experience in mechanical, mechatronics, or vehicle systems engineering roles\nDemonstrated ownership of complex, multi-disciplinary hardware systems from architecture through deployment\nStrong experience designing systems for harsh environments (automotive, construction, aerospace, military, or similar)\nExperience defining and executing environmental and regulatory qualification strategies, including: ingress protection (IP rating) validation, thermal modeling and test correlation, shock and vibration test design and verification, EMI/EMC qualification and certification\nExtensive experience integrating high-power compute platforms in vehicle environments\nDeep understanding of harness architecture, connector selection, grounding, shielding, and power distribution\nExperience integrating perception sensors (cameras, LiDAR) with awareness of calibration, vibration isolation, thermal drift, and environmental constraints\nStrong CAD proficiency and experience managing BOMs and lifecycle processes\nAbility to operate autonomously and influence cross-functional engineering decisions\nAbility and willingness to travel within the United States (~10%)\n"},{"text":"Preferred Qualifications","content":"\nDirect experience architecting modular hardware systems designed for deployment across diverse vehicle makes and models, with a focus on maximizing component commonality to reduce platform-specific engineering overhead.\nProven track record of transitioning hardware from low-volume pilot builds to high-volume production, including DFM (Design for Manufacturing) optimization and the technical management of contract manufacturers (CMs) during production ramp.\nExperience securing and maintaining technical certifications (e.g., ISO 26262, IEC, or relevant DOT/FMVSS standards) within an iterative, high-velocity engineering environment where hardware is evolving rapidly.\nExperience with PLM systems and the discipline required to manage engineering changes (ECOs) for fielded systems without disrupting active operations.\n"}],"salaryRange":{"min":180000,"max":230000,"currency":"USD","interval":"per-year-salary"},"text":"Senior Mechanical Engineer, Vehicle Integration & Validation","country":"US","workplaceType":"onsite","opening":"\n
Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.
\n
Teleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.
\n
This is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.
\n
About the Role
\n
\nAs a Senior Vehicle Systems Integration Engineer, you will own the architectural integrity and field robustness of Teleo’s autonomy retrofit system across multiple heavy equipment platforms.
\n
\nThis is a high-impact position where you will go beyond routine execution to shape hardware architecture, drive environmental qualification strategies, and establish more rigorous standards for integration and validation.
\n
\nYou will collaborate closely with our existing senior engineers to navigate cross-functional design tradeoffs, helping the team evolve our systems for better reusability and certification readiness as we scale.
\n
\nThe role also includes approximately 10% travel within the United States
","descriptionBodyPlain":"About the Role\n \nAs a Senior Vehicle Systems Integration Engineer, you will own the architectural integrity and field robustness of Teleo’s autonomy retrofit system across multiple heavy equipment platforms.\n \nThis is a high-impact position where you will go beyond routine execution to shape hardware architecture, drive environmental qualification strategies, and establish more rigorous standards for integration and validation. \n \nYou will collaborate closely with our existing senior engineers to navigate cross-functional design tradeoffs, helping the team evolve our systems for better reusability and certification readiness as we scale. \n \nThe role also includes approximately 10% travel within the United States\n","hostedUrl":"https://jobs.lever.co/teleo/b43b0b59-d4f5-4cc2-ba50-60789f280998","applyUrl":"https://jobs.lever.co/teleo/b43b0b59-d4f5-4cc2-ba50-60789f280998/apply"},{"additionalPlain":"Teleo is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. All qualified people are encouraged to apply.\n","additional":"Teleo is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. All qualified people are encouraged to apply.
","categories":{"commitment":"Full-Time","location":"Palo Alto, CA","team":"Engineering","allLocations":["Palo Alto, CA"]},"createdAt":1792462872606,"descriptionPlain":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.\n\n\nMission\nOwn the integration of Teleo's autonomy and vehicle subsystems into a reliable, cohesive platform. Bridge the gap between independently developed components — perception, controls, networking, hardware interfaces — and make them work together on real hardware.\n","description":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.
\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.
\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.
\n
Mission
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Own the integration of Teleo's autonomy and vehicle subsystems into a reliable, cohesive platform. Bridge the gap between independently developed components — perception, controls, networking, hardware interfaces — and make them work together on real hardware.
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Develop features across the full vehicle software stack: sensor interfaces, communication layers, diagnostics, and system services
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Integrate and validate subsystems from multiple teams into a unified, working platform
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Build and maintain backend infrastructure and tooling that support vehicle operations
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Design and implement inter-process and inter-system communication for vehicle and operator systems
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Contribute to OTA update pipelines and deployment workflows in collaboration with the full-stack team
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Write unit tests and help establish integration testing practices across the codebase
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Participate in remote support rotations, including occasional early/late hours
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B.S. in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or a related technical field.
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4+ years of professional software engineering in C/C++ and Python
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Strong computer systems fundamentals: OS internals, memory management, process lifecycle, IPC
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Hands-on embedded Linux experience at the application level
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Comfortable reading schematics and understanding hardware interfaces at a conceptual level
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Demonstrated ability to work across multiple subsystems and codebases
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Comfortable working on-site in Palo Alto, CA
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Linux systems programming: sockets, serial, device interfaces, systemd, debugging tools
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CAN bus protocols and serial communication
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Building and integrating multi-process systems with complex inter-component dependencies
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Debugging at the system level: logs, traces, packet captures, core dumps
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Working in cross-functional environments alongside firmware, perception, and controls teams
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ROS experience
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Networking fundamentals: VLANs, Layer 2/3 debugging, packet analysis
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Rust
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Experience bootstrapping test infrastructure: CI integration testing, hardware-in-the-loop setups
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Early-stage startup experience — comfortable with broad scope and fast iteration
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Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.
\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.
\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.
","openingPlain":"Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.\nTeleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.\nThis is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.\n","descriptionBody":"\n
Mission
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Own the integration of Teleo's autonomy and vehicle subsystems into a reliable, cohesive platform. Bridge the gap between independently developed components — perception, controls, networking, hardware interfaces — and make them work together on real hardware.
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