Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Aug 29, 2026. Nuro scores B on the Alion truth index.
Join Nuro, a leading autonomous delivery service, as a Senior/Staff Software Engineer specializing in behavior verification. In this role, you will implement metrics to evaluate the end-to-end behavior of the Nuro Driver, quantifying the safety of driving behavior in our target Operation Design Domain (ODD). You will collaborate closely with various teams across Nuro and leverage machine learning models and safety metrics to evaluate driving behavior. Additionally, you will set up automated verification workflows and generate detailed performance and validation reports.
Missions
- Implementing metrics to evaluate the end-to-end behavior of the Nuro Driver and quantifying the safety of the driving behavior.
- Developing and implementing generalizable metrics to verify the driving behavior of an autonomous vehicle, leveraging machine learning models and safety metrics.
- Collaborating closely with various teams to develop acceptance criteria for metrics and tests, and partnering with simulation infrastructure and test integration teams to set up automated verification workflows.
Profil recherché
- 5+ years of technical work experience in a relevant area with 3+ years of experience with software development- Highly collaborative in nature, with strong abilities to think and communicate analytically and effectively
- 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
- Hands-on software experience, with the ability to code proficiently in Python or C++
- Familiarity with simulation and real-world testing of autonomous systems
- 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

