Jobs / United States / General Motors Company
2027 Summer Intern - Research and Development - System Safety
General Motors Company · 🇺🇸 Warren, 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 roles3 certified filings for “Manager, Business Strategy” (Operations Research Analysts) in MI: $133k–$202k, median $202k. 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).
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 — 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 The Role: Join General Motors Research & Development as a System Safety Intern. You will contribute research and thought leadership in system safety, safety assurance, and evidence-based decision-making across current and emerging technology areas. Conduct research and work on the development, assessment, and continuous improvement of system safety analyses for complex products and safety-critical systems. As part of the system safety case development, evaluate safety arguments, evidence strategies, and sufficiency criteria to support safe technology development and align with regulatory expectations, industry best practices, and enterprise safety objectives. GM R&D is seeking a System Safety Intern to work on research, assessment, and methodological advancement in system safety and safety assurance. You will perform safety analyses, develop and improve safety cases, define claims and sufficiency criteria with domain experts, integrate evidence across disciplines, and ensure alignment with product evolution, regulatory expectations, and industry best practices. The role works across engineering, research, AI/ML, systems engineering, functional safety, cybersecurity, validation, product safety, legal, regulatory, and leadership teams to strengthen traceability, evidence quality, and safety decisions. What You’ll Do: • Conduct the research, development, governance, and continuous improvement of safety analyses and system safety cases for complex products and safety-critical systems. • Support system safety evaluation of newly developed technologies within R&D by defining evaluation approaches, reviewing evidence, identifying gaps, and communicating recommendations. • Author and present safety-case materials for product submissions, audits, internal reviews, external assessments, and executive or regulatory audiences. • Integrate and assess evidence from systems engineering, AI/ML, functional safety, cybersecurity, validation, product safety, and other relevant disciplines. • Perform impact analyses when system scope, architecture, operating context, platform, or release changes affect safety claims, criteria, or evidence. • Improve compliance, traceability, and evidence-tracking processes, including opportunities to automate safety-evidence collection across the engineering lifecycle. • Surface safety gaps, evidence weaknesses, and emerging risks, and drive timely escalation and resolution through appropriate forums. • Align safety-case claims with applicable standards, guidance, and best practices, including UL 4600, ISO 26262, ISO 21448, AVSC guidance, and ISO/PAS 8800. • Research emerging approaches in AI/ML safety validation, probabilistic safety arguments, evidence sufficiency, and structured safety-case development; synthesize findings into recommendations. Required Qualifications: • Pursuit of an advanced degree (MS or PhD) in one of the following areas: Engineering, Mathematics, Computer Science, Robotics, Safety Management, or a related technical field. • Must be a current student • Able to work fulltime, 40 hours per week during the summer months • Green Card Holder or US Citizen • Relevant experience in systems engineering, system safety, safety assurance, program leadership, or other complex software-intensive safety-critical environments. • Demonstrated experience developing, supporting, or assessing safety cases, assurance cases, or equivalent structured safety arguments. • Knowledge of functional safety and safety assurance concepts, including ISO 26262 (FuSa), ISO 21448 (SOTIF), ISO/PAS 8800 (AI safety), and UL 4600. • Ability to decompose safety goals into clear requirements and evidence needs, synthesize ambiguous technical data, and evaluate evidence sufficiency