Staff, Software Engineer - Simulation Vehicle Modeling

• Own and evolve the technical architecture for scalable vehicle modeling and simulation — extensible across vehicle types, sensor platforms, and fleet variability as Torc's autonomy program grows.
• Develop and own high-fidelity truck and vehicle dynamics models (longitudinal, lateral, and transient behavior) spanning nominal, off-nominal, and failure-mode simulation domains.
• Define and drive the statistical validation metrics that directly support Safety Case claims, ensuring model fidelity and coverage meet the bar required for driver-out certification.
• Design and scale robustness testing frameworks — including controller/planner interaction testing — to stress-test autonomy software at the fidelity and throughput required for large-scale V&V and RL training.
• 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 supporting planning, controls, and system-level V&V activities.
• Own model capability communication, known limitations, and release notes to enable effective autonomy validation across consuming teams.
• Ensure vehicle model updates don't regress autonomy V&V system performance, using automated regression frameworks you help define.
• Execute full software development lifecycle activities primarily in C++ within a Linux environment and ROS/ROS2 tooling, applying Lean-Agile methodologies.
• Perform root cause analysis on complex issues surfaced in simulation runs and hardware-in-the-loop testing.
• Drive test plan design for data acquisition and telemetry supporting field data collection and vehicle model refinement.
• Set direction for system-level test plans and verification strategies across the simulation org.
• Communicate technical direction, design decisions, and blockers clearly at stand-ups, design reviews, and cross-org architecture discussions.
• Build and maintain collaborative relationships with OEM partners and simulation tool vendors to evaluate, integrate, and co-develop simulation capabilities.
• Mentor engineers across the simulation and autonomy domains and help raise the bar on code quality, process, and testing rigor.

• 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.

• Experience as technical lead for a vehicle simulation sub-team, driving architecture across vehicle types, sensor platforms, and fleet variability.
• Experience with high-fidelity truck & 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 how learned models (neural networks) consume simulation and vehicle model outputs in autonomy V&V workflows.

Perks of Being a Full-time Torc’r 

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:   

• A competitive compensation package that includes a bonus component and stock options
• 100% paid medical, dental, and vision premiums for full-time employees   
• 401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
• AD+D and Life Insurance  

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. 

Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

Job ID: R-102979