Who We Are

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 platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets.

Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T.

Rowe Price, and other leading investors.

About The Role

As the Autonomous Driving System Safety Lead on the Systems Engineering team, you will own and author safety claims in the forward-facing ADS safety case for onboard and offboard software, a large fraction of which is AI components.

Requirements

, AI architecture, and evidence in support of these claims. You will be responsible for ensuring that the cross-functional team creates a safety case for onboard and offboard software that is comprehensive and that potential gaps are identified and mitigated. About the Work Manage safety claims by understanding the ADS design, interfaces, and technical capabilities of the system and by working closely with Autonomy Robotics and Software Infrastructure leads.

Generate atomic claims through claim decomposition, delegating to the cross-functional teams where appropriate and managing quality where delegated. Generate counter-arguments (challenges) to claims, and ensure that they are either addressed or mitigated. Review and assess evidence from evaluation and validation as arguments for safety case claims, and by working closely with V V test teams.

Develop processes for and coordinate the tracking of safety performance indicators, as available from various Systems Engineering and Software Evaluation teams, to monitor driverless (driver-out L4) deployment. Escalate functional and technical risks, and missing work items such as test gaps, ADS design risks, and AI architecture insufficiencies to senior leadership and propose mitigations. Support safety research, identify appropriate technical standards and best practices that support the safety case, and apply them effectively.

While this role starts as an individual contributor, there is opportunity to grow a team after the initially defined technical milestones. About You 5+ years of technical work experience in a relevant area, of which 3+ years should be in robotics software. Bachelor’s Degree, Master’s Degree, or Doctoral Degree in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or related field.

, verification, and validation, with a deep understanding of how robotic systems work. g. robotics, automotive, aviation/aerospace, medical devices) for a complex robotic system.

Hands-on experience with ISO 21448 and familiarity with ISO 8800. Highly collaborative in nature with strong abilities to think and communicate analytically and effectively, and the ability to build good working relationships. Bonus Points Background in autonomous vehicles ideally with L4 AV deployment.

for SAE L2/L3/L4 systems to operate safely. Experience with ISO 8800.