Staff Software Engineer – Simulation Vehicle Modeling

• Own and evolve the technical architecture for scalable vehicle modeling and simulation across vehicle types, sensor platforms, and fleet variability.




• Develop and own high-fidelity truck and vehicle dynamics models covering nominal, off-nominal, and failure-mode simulation domains.




• Define and drive statistical validation metrics supporting Safety Case claims and driver-out certification.




• Design and scale robustness testing frameworks, including controller/planner interaction testing.




• Design, develop, and maintain high-fidelity simulation platforms for closed-loop autonomous-driving software evaluation at scale.




• Partner with autonomy engineering teams on vehicle model requirements for planning, controls, and system-level V\u0026V.




• Communicate model capabilities, limitations, and release notes across consuming teams.




• Prevent regressions in autonomy V\u0026V system performance through automated regression frameworks.




• Execute the full software development lifecycle primarily in C++ within Linux and ROS/ROS2, applying Lean-Agile methodologies.




• Perform root cause analysis on simulation and hardware-in-the-loop issues.




• 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 organization.




• Communicate technical direction, design decisions, and blockers in stand-ups, design reviews, and architecture discussions.




• Build relationships with OEM partners and simulation-tool vendors to evaluate, integrate, and co-develop capabilities.




• Mentor engineers and improve code quality, process, and testing rigor.

Requirements

• 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.




• Ability to translate vehicle model capabilities and limitations to autonomy engineering teams and capture their requirements.




• 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.




• Ability to own and maintain key technical systems across multiple repositories and contribute to cross-org architectural decisions.




• Advanced-level professional operating with wide latitude for independent judgment and minimal supervision.




• Track record of mentoring engineers and contributing to technical direction within simulation and autonomy domains.

Core Competencies

Demonstrates expertise in C++ programming, physics-based vehicle modeling, and simulation frameworks, with a strong focus on safety validation and autonomous vehicle systems. Proven ability to mentor engineers and drive technical direction across simulation and autonomy domains.

Highest-signal resume keywords

• C++ Programming




• Physics-Based Vehicle Modeling




• ROS/ROS2




• Statistical Validation Metrics




• Robustness Testing Frameworks

ATS Optimization Keywords

Hard Skills

• C++




• Python




• Linux




• CMake




• Vehicle Dynamics Modeling




• Automated Validation Pipelines




• Simulation-Based Performance Benchmarking




• Unit Testing




• Integration Testing




• Regression Testing

Soft Skills

• Mentoring




• Technical Communication




• Collaboration

Industry Keywords

• Autonomous Vehicles




• Safety Case




• Vehicle Model Requirements




• Test Plan Design




• System-Level Verification

Tools & Technologies

• ROS/ROS2




• Simulation Platforms




• Telemetry Systems




• Data Acquisition Tools