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
Develop and implement in Python generalizable metrics to verify the driving behavior of an autonomous vehicle.
Leverage a combination of machine learning (ML) models and safety metrics: from literature to evaluate the end-to-end driving behavior.
Evaluate these metrics on a variety of tests: synthetic and log simulation, on-road logs, closed-course testing data, and third-party accident reconstructions.
Collaborate closely with Systems, Behavior, Perception, Data Science,: Product, Legal and Public Trust teams to develop acceptance criteria for metrics and tests.
Partner with simulation infrastructure and test integration teams to set up automated verification workflows.
Generate detailed performance and validation reports to prove that the: behavior of the autonomous system is safe to deploy in our target Operation Design Domain (ODD).
What they're looking for
- + years of technical work experience in a relevant area with 3+ years of experience with software development.
- Hands-on software experience, with the ability to code proficiently in Python or C++.
- Bachelor’s Degree or Master’s Degree in Computer Science, Electrical: Engineering, Mechanical Engineering, Robotics, Physics, or related field.
- Strong understanding of robotic systems architecture: how sensing, localization, perception, prediction, behavior, and control modules interact.
