Staff, Software Engineer - Simulation Vehicle Modeling

Required

• Bachelor's Degree in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or a related technical field plus 10+ years of relevant experience; or Master's Degree in the above fields plus 7+ years; or PhD plus 3+ years.
• Deep proficiency in C++ (primary), Python for tooling, ROS/ROS2, CMake, and Linux.
• Strong background in physics-based modeling of ground vehicles, including longitudinal/lateral dynamics, tire models, and powertrain.
• Working knowledge of AV autonomy stack architecture — planning, controls, and system integration — to collaborate effectively with autonomy engineering teams and ensure vehicle models meet V&V requirements.
• Demonstrated ability to translate vehicle model capabilities and limitations to autonomy engineering teams, and to capture their requirements to inform model fidelity improvement initiatives.
• Experience defining statistical validation metrics and robustness testing frameworks used to support formal safety case claims.
• Experience with unit, integration, and regression testing, automated validation pipelines, and simulation-based performance benchmarking at scale.
• Track record of driving technical consensus across simulation, autonomy, controls, product, and safety teams — this role is expected to help set direction, not just execute against it.
• Ability to own and maintain key technical systems across multiple repositories and contribute to cross-org architectural decisions.
• Operates as an advanced-level professional with wide latitude for independent judgment and minimal supervision.
• Track record of mentoring engineers and contributing to technical direction within the simulation and autonomy domains.