Jobs / United States / General Motors Company
Senior Software Systems Engineer, Autonomous Vehicles - Metrics & Evaluation
General Motors Company · 🇺🇸 Sunnyvale, California, 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 roles8 certified filings for “Software Systems Engineer” (Mechanical Engineers) in CA: $192k–$220k, median $209k. 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
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 T he Role You will be part of a team that driv es systematic and data-driven improvements to the Autonomous Vehicle sof twa re by designing, implementing, and maintaining robust processes for evaluation and validation of our AVs . To achieve this objective , we are looking for a highly motivated individual with excellent analytical skills to own end to end execution, methodology improvements and insight articulation/communication to ensure hig h -qual ity evaluation and release of our End-to-End ML Stack . In this position, you will work closely with AI/ML Engineers, Simulation Engineers , Systems Engineers, Product Managers to identify , analyze, monitor and prioritize the most important s ignals to assess performance of our ML based stack leveraging simulation and on-road data and building scalable processes to evaluate compliance to our KPIs . If you're interested in having a major impact on accelerating AV Behavioral Evaluation assessment on ML-driven autonomy through creative problem solving, let's chat! What you’ll be doing: • Define an AV evaluation process that spans from initial conception through implementation, ensuring it is applied to the release of our end-to-end (E2E) ML s tack. • Provide hands-on implementation of infrastructure solutions t o assess AV performance from E LT tooling at GM from simulation and on-road data . • Proactively scope and identify metrics needed to imp rove our evaluation workflows and devise paths for implementation if not available . • Contribute to automated triage strategies for AV deficiencies in an End-to- E nd sta ck architecture and p resent findings to rele vant stakeholders. • Articulate insights, summaries and recommendations to AV developers and executives based on continuous analysis of AV performance . • Define and maintain scalable processes to identify , monitor and improve evaluation KPIs as definition of success of evaluation initiatives . • Map and articulate link between continuous improvement processes with the product s afety case and compliance with safety standards . What you must have: • Strong Python and SQL programming • Strong skills in high quality SW Development using AI tools • Prio r knowledge and implementation of ELT pipelines for product quality analysis • Experience with GitHub and Jira or equivalent tools • Strong problem-solving skills - End to End ownership from problem definition to deriving the desired outcome • Proven track record of analytical and systems engineering skills while dealing with complex systems and ambiguous AI functions • Proven track record of root cause analysis in complex SW/HW systems • Familiarity with analytical methods for driving behavioral analysis • Ability to creatively problem solve with limited supervision • Motivated by a fast paced, challenging environment with high expectations and quick turnarounds • Ability to learn quickly, starting with little information and quickly becoming an expert in your domain • Strong cross functional communication and collaboration skills • Proven experience at communicating data driven decisions to leadership • Passionate about robotics/AI complexities • BS , MS or PhD in Engineering or related discipline or equivalent combination education and experience Bonus Points! • Experience with AVs and/or Production grade robotics developments and AV/ADAS systems • Experience with statistical methods for produ