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.
What You'll Do: - 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.
What You'll Need to Succeed: - 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 latitude for independent judgment and minimal supervision.
- Willingness to mentor and guide engineers within the group and contribute to technical direction within the simulation and autonomy domains.
Bonus Points! - Experience with high-fidelity truck & trailer or heavy-vehicle models.
- Experience building or extending closed-loop autonomous vehicle simulation environments.
- 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 match
- Flexibility in schedule and generous paid vacation (available immediately after start date)
- AD+D and Life Insurance
Job ID: R-102814
Hiring Range for Job Opening US Pay Range
$160,800-$193,000 USD