Jobs / United States / Nuro INC
Autonomous Driving System Safety Lead
Nuro INC · 🇺🇸 Mountain View, California (HQ)
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 39 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 15 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — Nuro INC
The US Department of Labor certified 39 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 15 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Nuro INC →
About the role
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. You will work closely with the autonomy software, data platform, operations, and legal teams to coordinate system 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. • Working knowledge of and ability to apply systems engineering concepts of requirements, verification, and validation, with a deep understanding of how robotic systems work. • Strong quantitative analytical skills and Python experience. • Experience working in a safety-critical industry (e.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 c