Senior Simulation Vehicle Modeling Engineer

Senior Simulation Vehicle Modeling Engineer

About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Meet The Team:

At Torc, our simulation teams are building the foundation for AV 3.0 driver‑out development and certification. This team serves as the critical technical interface between simulation/modeling and autonomy consumers. By ensuring model fidelity, coverage, and usability, the team plays a vital role in evaluating and advancing autonomous driving software. We support massive‑scale, parallel execution for scaled verification and validation (V&V) and high‑throughput reinforcement learning (RL) training.

Ultimately, we provide the framework and tooling that serves Autonomy, Safety, and Release with shared artifacts, common metrics, and deterministic reproducibility.

• Develop and own vehicle dynamics models, including high‑fidelity truck models that accurately represent longitudinal, lateral, and transient behavior for use in simulation and autonomy validation.
• Design, develop, and maintain high‑fidelity simulation platforms used to validate autonomous driving software in closed‑loop evaluation pipelines at scale.
• Partner with autonomy engineering teams to capture and implement vehicle model requirements that support planning, controls, and system‑level V&V activities.
• Own model capability communication, known limitations, and release notes to enable effective autonomy validation.
• Ensure vehicle model updates do not regress autonomy V&V system performance by using automated regression frameworks.
• Execute full software development lifecycle activities primarily in C++ within a Linux development environment and ROS/ROS2 tooling, applying Lean‑Agile methodologies.
• Perform root cause analysis on issues identified during simulation runs and hardware‑in‑the‑loop testing.
• Participate in designing test plans for data acquisition and telemetry that support field data collection for vehicle model refinement.
• Support system‑level test plans and verification strategies.
• Communicate progress, design decisions, and blockers clearly at daily stand‑ups and design reviews.
• Build and maintain collaborative relationships with OEM partners and simulation tool vendors to evaluate, integrate, and co‑develop simulation capabilities.

• Bachelor’s Degree in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or a related technical field plus 6+ years of relevant experience; or Master’s Degree in the above fields plus 3+ years of relevant experience; or PhD in the above fields plus 1+ years of relevant experience.
• Proficiency in C++ (primary), Python for tooling and ML integrations, ROS/ROS2, CMake, and Linux.
• 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.
• Ability to translate vehicle model capabilities and limitations to autonomy engineering teams, and to capture their requirements to inform model fidelity improvement initiatives.
• Experience with unit, integration, and regression testing, as well as automated validation pipelines and simulation‑based performance benchmarking.
• Expected to drive consensus across simulation, autonomy, controls, and product engineering & safety teams.
• Ability to own and maintain key technical systems across multiple repositories and contribute to cross‑org architectural decisions.
• Must operate as an advanced‑level professional with wide…