Staff Software Engineer - Simulation Vehicle Modeling

1 week agoLeadSalary: 186K - 223KRemote - US, Ann Arbor, MI Remote Full Time Engineering Jobs by Torc Robotics

Skills

C#Cmake Hardware-In-The-Loop Linux Powertrain Python Regression Testing Reinforcement Learning Robustness Testing Root-Cause Analysis Ros Ros2 Safety Case Simulation Telemetry Tire Model Validation Vehicle Dynamics Vehicle Modeling

Candidate Availability

Remote · Ann Arbor · Required

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own the architecture for scalable vehicle models and simulation. You will build high-fidelity vehicle dynamics models, define validation and robustness-testing frameworks, maintain C++ simulation platforms, investigate simulation issues, and guide verification strategies and technical direction.

Requirements

Bachelor's degree with 10+ years of relevant experience, Master's degree with 7+ years, or PhD with 3+ years
Proficiency in C++, Python, ROS/ROS2, CMake, and Linux
Background in physics-based ground-vehicle modeling, including vehicle dynamics, tire models, and powertrain
Knowledge of autonomous-vehicle planning, controls, and system integration
Experience defining statistical validation metrics and robustness-testing frameworks for safety-case claims
Experience with unit, integration, and regression testing, automated validation pipelines, and simulation benchmarking
Experience driving technical consensus across simulation, autonomy, controls, product, and safety teams
Experience mentoring engineers and contributing to technical direction

Responsibilities

Own and evolve scalable vehicle-modeling and simulation architecture
Develop high-fidelity truck and vehicle-dynamics models
Define statistical validation metrics supporting safety-case claims
Design robustness-testing frameworks for autonomy software
Develop and maintain closed-loop simulation platforms
Capture vehicle-model requirements from autonomy engineering teams
Maintain model capability communications and release notes
Prevent regression of autonomy validation performance through automated frameworks
Perform root-cause analysis for simulation and hardware-in-the-loop issues
Define system-level test plans and verification strategies
Mentor engineers and improve code quality and testing rigor

Benefits