Jobs / United States / General Motors Company
Senior AI Governance Specialist – Vehicle Motion Software
General Motors Company · 🇺🇸 Milford, Michigan, United States of America
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 roles1 certified filing for “AI/ML Engineer” (Software Developers) in MA: $187k–$187k, median $187k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Last confirmed live 2 days agoWhen 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
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 Work Arrangement: Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, MI three days (Tues., Wed., Thurs.) a week, at minimum. Our Mission: There’s never been a more exciting time to work at General Motors! We are passionate about our bold vision of a world with Zero Crashes, Zero Emissions, and Zero Congestion . Our culture is built on inclusivity, where diverse perspectives are embraced, and every employee can contribute to their fullest potential. We offer flexible and tech-savvy work environments, foster innovation through collaboration, and encourage community engagement through volunteerism. The Role: The AI Governance Specialist is responsible for establishing, executing, and continuously improving the AI governance framework for vehicle motion software product portfolio. This role provides technical leadership to ensure that all AI elements — whether embedded in vehicle products (e.g., vehicle motion control) or used in the software development process (e.g., AI-assisted requirement generation, test case generation, code tools) comply with applicable automotive safety standards and GM AI policies. The engineer serves as VMEC's primary lead on AI governance methodology and acts as the bridge between software engineering, system safety, and enterprise AI governance bodies. What You'll Do: • Derive and maintain VMEC's AI governance framework from applicable standards including ISO 26262, ISO/PAS 8800, ISO/IEC TR 5469, ISO 21448 (SOTIF), and GM's AI Policy. • Establish methodology to classify all AI elements and AI-powered tools within VMEC's scope using ISO 8800 usage levels, distinguishing in-product AI from off-line development AI. • Develop and own the VMEC AI Governance Process and documentation aligned with ISO 26262 and ISO 8800 requirements. Pilot and scale up the process. • Integrate AI governance requirements into existing VMEC software development processes and product lifecycle stages. • Interpret and translate ISO 26262, ISO/PAS 8800, ISO 21448 and ISO/IEC 5469 requirements into actionable VMEC engineering guidance. • Conduct gap analyses between current VMEC software processes, GM safety requirements, and applicable AI governance standards; prioritize and drive closure plans. • Monitor the evolving AI standards landscape and proactively assess impact on VMEC processes. • Maintain a comprehensive inventory of AI elements and AI-powered tools used within VMEC's product and process scope. • Lead tool confidence level (TCL) determination per ISO 26262 and ISO 8800, assessing Tool Impact (TI) and Tool Error Detection (TD) for each AI tool in safety-critical workflows. • Define and execute tool qualification plans for AI tools requiring qualification (e.g., AI-assisted test case generators, ML model trainers, code generation tools used in ASIL-rated software). • Establish criteria and checklists for onboarding new AI tools into VMEC's governed ecosystem. • Define and implement AI lifecycle controls encompassing data governance, model development oversight, verification and validation requirements, performance bounds, and operational guardrails. • Develop and maintain processes for generating audit-ready AI governance artifacts (AI safety case evidence, tool qualification reports, data governance documentation). • Support VMEC's participation in AI tool inventory reviews and compliance assessments. • Align with GM's enterprise AI Governance Council, Enterprise Data Governance Office (EDGO), and GM AI Policy compliance requirements including data privacy, security, and export control considerations. • Serve as the VMEC subject matter expert for AI safety standards; provide training and guidance to software engineers, s