Meet the TeamAt 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.
What You'll Do- 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.
What You'll Need to Succeed- 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.
Bonus Points!- 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
Job ID: R-102979Hiring Range for Job Opening US Pay Range
$186,200-$223,400 USD
