The opportunity
Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy…
What you'll do
Using human benchmarks from naturalistic data, develop statistical models: that drive strategic decisions as a function of test volume, system performance, and confidence level.
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.
What they're looking for
- 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.
- 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.
