Vehicle Validation Engineer
Core
Plan and execute vehicle tests to support development, validation, benchmarking, and real-world deployment of end-to-end AI driving systems.
Role type
Vehicle Validation Engineer
Builds
Autonomous driving systems for automakers
Domain
Automotive / Embodied AI
Deliverable
production ML models
Required skills
CANalyzer, CANoe, vehicle instrumentation, data logging tools (Vector, ETAS, Racelogic), Linux/Windows/SSH environments, test case design, performance reporting, benchmarking, supplier management
Preferred skills
autonomous vehicle or ADAS systems experience, Python/MATLAB scripting, vehicle networks (CAN, LIN, Ethernet), simulation environments (HiL, SiL), ISO 26262 awareness
Technologies
CANalyzer, CANoe, Vector, ETAS, Racelogic, Linux, Windows, Python, MATLAB
Responsibilities
Plan and execute vehicle tests; develop and improve vehicle validation test concepts; work with engineering/product/operations teams; ensure vehicles are prepared and maintained; deliver high-quality test data and performance reporting; provide feedback on vehicle behavior and system gaps; conduct benchmarking activities; develop testing processes and documentation; manage relationships with external suppliers
Seniority
Individual Contributor, early-stage team