Jobs / United States / General Motors Company
Senior Software Engineer, Simulation
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 roles1 certified filing for “Senior Software Engineer, Simulation” (Software Developers) in NH: $210k–$210k, median $210k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% 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.
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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 The Role: General Motors is a global leader in advanced driver assistance . With Super Cruise hands-free technology in more than 500,000 Super Cruise-equipped vehicles on the road, and over 700 million hands ‑ free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting ‑ edge advances to everyday drivers at an unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences. About the Organization: The Simulation team, part of the Autonomous Vehicle organization, is responsible for developing and advancing the simulation ecosystem that enables the growth and maturity of GM’s autonomous driving technology. We develop scalable tools, workflows, and analysis capabilities that enable data-driven decisions across AV development, testing, and validation. Partnering with Autonomy, Systems, Safety, and other cross-functional teams, we provide the simulation foundation needed to assess system behavior, improve development velocity, and support end-to-end AV quality. We own large-scale scenario libraries, test and evalu ation pipelines, and core infrastructure that support virtual testing, data analysis, model development, and validation within a unified framework. By joining this team, you will help shape GM’s core simulation platforms, turn complex system behavior into actionable insights, and accelerate the development of safe, scalable autonomous vehicles. What You’ll Do: • Design, build, and maintain large-scale test infrastructure and evaluation pipelines that enable and quantify the accuracy, reliability, and efficiency of simulation tests used for autonomous vehicle software validation. • Develop and maintain GM’s core simulation dashboards and reports, delivering clear, actionable, and interpretable insights on test operations, simulation trust and health trends to engin eering teams and leadership. • Drive scalable simulation quality assessments, standardized processes, and automation to support seamless integration of automated outputs with human-in-the-loop analysis and evaluation. • Collaborate with cross-functional partners across Autonomy, Systems, Safety, and customer teams to define, refine, and drive consensus on simulation validation methodologies and requirements. • Uphold high standards for code quality and software architecture through code reviews and technical leadership, mentoring other engineers on software engineering and simulation testing best practices. • Leverage AI-assisted development tools and analytics platforms to enhance productivity, improve code quality, and drive innovation in simulation testing. What You Must Have: • 5+ years of applied experience developing complex evaluation, simulation, or test frameworks. • Proficient in developing Python for production systems, including unit testing, code review, performance tradeoffs, and reliability best practices. • Demonstrated ability to drive technical design and execution across multiple teams and organizations in a remote or distributed environment. • Strong communication and collaboration skills . • BS, MS, or PhD in Computer Science, Engineering, or equivalent experience. What Will Give You a Competitive Edge: • Experience testing and evaluating robotics systems or autonomous vehicles, including working on simulation frameworks. • Experience working on test strategies and validation for safety-critical products. • A strong, data-driven curiosity to investigate anomalies and systematically root-cause discrepancies. • Familiarity with SQL, time-series data analysis, performance mon