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Senior Simulation Vehicle Modeling Engineer

1 month, 2 weeks ago
United States
Full-time
Senior
Robotics Engineer
Quality Assurance and Testing
C++ Linux Neural Networks Python Reinforcement Learning
Apply Now
Torc

Torc

Torc Robotics is a leading provider of unmanned and autonomous ground vehicle technology, specializing in self-driving trucks for various industries. Founded in 2005, Torc has a history of innovation, including winning the 2007 DARPA Urban Challenge an...

Road & Rail
251-1K
Founded 2007
$37M raised
View All Jobs 10

Description

  • Develop and own vehicle dynamics models, including high-fidelity truck models for simulation and autonomy validation.
  • Design, develop, and maintain high-fidelity simulation platforms used in closed-loop evaluation pipelines at scale.
  • Partner with autonomy engineering teams to capture and implement vehicle model requirements for planning, controls, and system-level V&V.
  • Own model capability communication, known limitations, and release notes to support autonomy validation.
  • Ensure vehicle model updates do not regress autonomy V&V performance by using automated regression frameworks.
  • Execute software development lifecycle activities in C++ within a Linux environment using ROS/ROS2 tooling and Lean-Agile methods.
  • Perform root cause analysis on issues found during simulation runs and hardware-in-the-loop testing.
  • Participate in designing test plans for data acquisition and telemetry to support field data collection and model refinement.
  • Support system-level test plans and verification strategies.
  • Build and maintain collaborative relationships with OEM partners and simulation tool vendors to integrate and co-develop simulation capabilities.

Requirements

  • Bachelor's degree in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or a related technical field with 6+ years of relevant experience; or a master's degree with 3+ years of relevant experience; or a PhD with 1+ years of relevant experience.
  • Proficiency in C++ as the primary language, plus Python for tooling and ML integrations.
  • Experience with ROS/ROS2, CMake, and Linux.
  • Experience with physics-based modeling of ground vehicles, including longitudinal and lateral dynamics, tire models, and powertrain.
  • Working knowledge of AV autonomy stack architecture, including planning, controls, and system integration.
  • Ability to translate vehicle model capabilities and limitations to autonomy engineering teams and capture their requirements.
  • Experience with unit, integration, and regression testing, automated validation pipelines, and simulation-based performance benchmarking.
  • Ability to drive consensus across simulation, autonomy, controls, product engineering, and safety teams.
  • Ability to own and maintain key technical systems across multiple repositories and contribute to cross-org architectural decisions.
  • Willingness to mentor engineers and contribute to technical direction within the simulation and autonomy domains.
  • Experience with high-fidelity truck and trailer or heavy-vehicle models (preferred).
  • Experience building or extending closed-loop autonomous vehicle simulation environments (preferred).
  • Familiarity with scenario-based validation and sim-to-real correlation activities (preferred).
  • Familiarity with how learned models, such as neural networks, consume simulation and vehicle model outputs in autonomy V&V workflows (preferred).

Benefits

  • Competitive compensation package with bonus component and stock options.
  • US pay range of $160,800 to $193,000 USD.
  • 100% paid medical, dental, and vision premiums for full-time employees.
  • 401(k) plan with a 6% employer match.
  • Flexible schedule and generous paid vacation available immediately after the start date.
  • AD&D and life insurance.
  • Potential sign-on payments and relocation support, depending on the position offered.

Interested in this position?

Apply directly on the company website

Apply Now

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