Senior Software Engineer, Collision Avoidance Testing

What you'll do

• Design and iterate on realistic collision-avoidance and collision-detection scenarios for replay and synthetic simulations, structured testing, and public-road test coverage.
• Analyze test results, build statistical and risk models, and recommend improvements to testing realism and autonomy architecture.
• Author test and residual-risk reports and support safety-case claims through documentation and cross-team communication.

What they ask for

• Bachelor’s, Master’s, or Doctoral Degree in a listed or related field.
• Strong algorithmic problem-solving and coding experience to implement scalable solutions; Python or C++ preferred.
• Experience with simulation-based evaluation suites and scenarios for autonomous vehicles, using well-defined metrics.
• Experience with collision-type metrics, data analytics, evaluation tooling, or CI/CD test pipelines; probability modeling; and working knowledge of systems engineering requirements, verification, and validation.

Nice to have

• Experience developing collision metrics for self-driving vehicles, structured or physical testing of robots or vehicles, or safety claims and requirements for SAE L3/L4 systems.
• Hands-on experience with STPA and ISO 21448.

Pay

USD 160,360–USD 291,150 base salary

Tools

Python, C++, NHTSA, NCAP, STPA, ISO 21448

AI focus

Uses statistical models and autonomous-driving simulation and evaluation to assess collision-avoidance performance and risk.