Who We Are
Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.
About the Role
As a Senior Software Engineer, Collision Avoidance Testing, you will work closely with the onboard autonomy, evaluation infrastructure, data science, operations, and simulation teams to evaluate the performance of the autonomous vehicle in collision avoidance scenarios. You will be responsible for identifying gaps in onroad and simulation tests, designing appropriate tests to fill those gaps, reviewing test outcomes, and iterating on test design. You will analyse the results, recommend product changes, and report on residual risk both to leadership and in the safety case.
About the Work
- Identify and design realistic scenarios to drive test coverage of collision avoidance scenarios and collision detection scenarios using replay simulations of logs and synthetic simulation of third-party accident reconstructions.
- Develop validation strategies to test Automated Emergency Braking functions using simulation and structured testing.
- Identify gaps in simulation and public roads testing and design structured test scenarios to address these gaps and by leveraging appropriate standards from NHTSA or NCAP.
- Support the building of and using models to quantify risk in scenarios with non-zero probability of collision.
- Author test and residual risk reports, and make strategic recommendations based on the results for improving simulation or test realism and autonomy architecture.
- Support the safety case by identifying, documenting, and communicating collision avoidance and simulation or test realism claims.
- Communicate effectively across onboard and offboard SWE, Test Operations, and Leadership to present risks and requirements effectively.
About You
- Bachelor’s Degree, Master’s Degree, or Doctoral Degree in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or related field.
- Strong algorithmic problem solving skills and coding (preferably Python or C++) experience to implement scalable solutions.
- Experience with designing simulation-based evaluation suites and scenarios for testing autonomous vehicles using well-defined metrics to score good behavior.
- Experience developing collision-type metrics, data analytics, evaluation tooling, or CICD test pipelines to quantify robot performance in tes