Staff, Software Engineer - Simulation Vehicle Modeling
Torc RoboticsAnn Arbor, MI · Remote · full time · Staff
$186,200 – $223,400
Listed on Torc Robotics’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads the design and development of high-fidelity vehicle simulation models for autonomous truck validation, ensuring they meet safety certification standards and support large-scale testing of autonomy software. It suits experienced software engineers with deep expertise in vehicle dynamics, C++, and autonomous systems who want to own critical technical architecture in a safety-critical domain.
Our summary, not Torc Robotics’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Bachelor's degree in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or related field plus 10+ years experience (or Master's plus 7+ years, or PhD plus 3+ years)
- Deep proficiency in C++, Python, ROS/ROS2, CMake, and Linux
- Strong background in physics-based modeling of ground vehicles including longitudinal/lateral dynamics and tire models
- Working knowledge of autonomy stack architecture (planning, controls, system integration)
- Ability to translate vehicle model capabilities to autonomy teams and capture their requirements
- Experience defining statistical validation metrics and robustness testing frameworks for safety cases
- Experience with unit, integration, and regression testing and simulation-based performance benchmarking at scale
- Track record of driving technical consensus across simulation, autonomy, controls, and safety teams
- Ability to own and maintain key technical systems across repositories and contribute to cross-org architectural decisions
- Operates with wide latitude for independent judgment and minimal supervision
- Track record of mentoring engineers in simulation and autonomy domains
Nice to have
- Experience as technical lead for a vehicle simulation sub-team
- Experience with high-fidelity truck and trailer or heavy-vehicle models
- Experience building or extending closed-loop autonomous vehicle simulation environments at scale
- Familiarity with scenario-based validation and sim-to-real correlation activities
- Familiarity with learned models (neural networks) consuming simulation outputs in autonomy V&V workflows