Drimva

Torc Robotics

Staff, Software Engineer - Simulation Vehicle Modeling

$186K–$223K

Remote - US, Ann Arbor, MI +1 · Remote · Staff · Full-time · Posted Sep 11, 2026

Location
Remote - US, Ann Arbor, MI
Remote - US
Experience
10+ years with a bachelor's degree; 7+ years with a master's degree; or 3+ years with a PhD.
Education
Bachelor's, Master's, or PhD in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or a related technical field.

About the job

Leads the architecture and development of scalable, high-fidelity vehicle models and simulation systems for autonomous-truck validation, safety certification, and reinforcement-learning training.

What you'll do

  • Own vehicle-model and simulation architecture; develop truck dynamics models and closed-loop simulation platforms.
  • Define statistical validation metrics, robustness tests, and system-level verification strategies for safety claims and large-scale testing.
  • Partner with autonomy teams and vendors, maintain model release and regression practices, and mentor engineers.

What they ask for

  • Deep proficiency in C++, Python, ROS/ROS2, CMake, and Linux.
  • Strong background in physics-based ground-vehicle modeling, including vehicle dynamics, tire models, and powertrain.
  • Experience defining statistical validation metrics and robustness frameworks for formal safety claims.
  • Bachelor's degree in a listed or related technical field plus 10+ years of relevant experience, or Master's plus 7+ years, or PhD plus 3+ years.

Nice to have

  • Technical leadership in vehicle simulation; experience with truck, trailer, or heavy-vehicle models.
  • Experience scaling closed-loop AV simulation; familiarity with scenario-based validation, sim-to-real correlation, or learned models in V&V.

Pay

$186,200 — $223,400 USD (base salary)

Tools

C++, Python, ROS/ROS2, CMake, Linux

AI focus

Builds simulation and vehicle-model capabilities supporting autonomous driving software validation and high-throughput reinforcement-learning training.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)