Jobs / United States / General Motors Company

Principal AV Behavior Safety Engineering Lead

General Motors Company · 🇺🇸 2 Locations

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 606 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 267 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.
  • What General Motors Company paid sponsored hires in similar roles4 certified filings for “Senior Software Safety Architect” (Software Quality Assurance Analysts and Testers) in CA: $220k–$220k, median $220k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
  • 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).

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Sponsor Radar — General Motors Company

606 H-1B filings certified since Oct 2025

The US Department of Labor certified 606 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 267 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 General Motors Company →

About the role

Job Description The Safety Assurance for Effective Autonomous Driving Software (SAFE ‑ ADS) department is part of GM’s Global Product Safety, System, and Certification (GPSSC) organization. Our mission is to help GM deliver trusted automated ‑ driving products .    As the central authority for automated driving system (ADS) safety, SAFE ‑ ADS brings together experts from across the company to develop and   maintain   a comprehensive safety case including safety performance indicators for GM’s automated ‑ driving technologies.     GM’s vision is zero crashes, zero emissions, and zero congestion—and autonomous vehicle safety is essential to achieving that vision.     As Principal   AV Behavior Safety Engineering   L ead , you will lead the strategy and support execution for how GM defines, measures, and   validates   the safety of   SAE Level 3 – 4 Automated Driving S ystems powered by machine‑learned models. You will report   into   the AV Safety Strategy and Ass urance   organization and directly influence launch decisions for GM’s next generation of automated driving products.       If you are passionate about safety, have deep experience in autonomous vehicle development   and validation , and are a proven technical leader in AI/ML‑driven systems, this role is an opportunity to shape how millions of people experience safe automated driving.     The Role       The AV Safety Strategy and Ass urance   team is seeking a hands‑on   Principal engineer   with extensive experience in the   end ‑ to ‑ end   development lifecycle of autonomous vehicle behaviors, from   ADS Architecture,   O D D and behavior   de finition   through simulation, closed‑course, and public‑road validation.   If   you’re   excited to lead   in   autonomous driving safety,   we’d   love to hear from you!     You will:   Lead Technically   • Reference and interpret standards such as ISO 21448 (SOTIF), ISO 5083, and AVSC best practices to define GM’s strategy for safe autonomous system development ,   validation   and   deployment   • Own safety strategy for next generation ADS architectures   • Own the behavior‑focused   portion   of the ADS Safety Case, including key claims, sufficiency criteria, and recommended evidence for AV behavior   safety performance .   • Collaborate with Software Validation, Embodied AI, Simulation, and Safety Metrics teams to define the end‑to‑end AV behavior validation   methodology   for AI‑driven systems.   • Set the strategy for   how we systematically break down ODDs and how   performance is   validated   per behavior and in aggregate.   • Collaborate on   evaluation   metrics, human benchmarks, and safety launch targets for AV behaviors and overall system performance .    This includes supporting development of safety performance indicators (SPIs) for AV behaviors.   • Assess AV performance across safety and reliability dimensions using simulation, closed‑course, and public‑road data and provide clear, prioritized feedback to engineering teams   • Define and run an assurance process to verify the sufficiency criteria and safety targets to support launch readiness       Your Skills & Abilities   (Required   Qualifications )   • Bachelor's degree in Computer Science , Engineering, Mathematics, or a related field    • 8 + years of experience in   m achine learning ,   engineering, data science, or a related field   • 8 + years in autonomous vehicle or robotics development or related field   • Demonstrated experience working on production‑intent AV programs    • Track record   providing technical safety leadership in AV development (e.g., defining safety strategies, risk assessments,   validation methodologies,   safety case contributions).   • Deep understanding of AV behavior development: defining ODDs,

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Source: Employer career site (Workday) First seen: 2026-09-09 Last confirmed: 2026-10-03 How our data works → Report this job

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