About the job
As a Senior/Staff Software Engineer working on driving behavior verification, you are responsible for implementing metrics that evaluate the end-to-end behavior of the Nuro Driver. These metrics will be used to quantify the safety of the driving behavior in our target ODD. This requires prior experience with the development or verification of behavior planning/prediction systems for robots, and a collaborative nature to work closely with a variety of teams across Nuro: Systems, Onboard Software, Simulation, Product, and Operations.
Responsibilities
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).
Qualifications
Minimum
5+ 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.
Familiarity with simulation and real-world testing of autonomous systems.
Highly collaborative in nature, with strong abilities to think and communicate analytically and effectively.
Preferred
Background in autonomous vehicles ideally with developing software for L4 autonomous.
Prior experience building computational models for driving behavior or ML based metrics for behavior evaluation.