Jobs / United States / General Motors Company
Software Developer - Simulation Platform (Galileo)
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 As a Software Engineer on the Galileo team, you will design, build, and scale the infrastructure and technology that powers testing and evaluation workflows for vehicle release and autonomous driving stack validation and verification. This includes developing and optimizing data processing pipelines, backend services, and internal tools used for large-scale analysis. In this role, you will independently own significant technical areas, drive high-quality implementation from design through production, and partner with cross-functional teams to build systems that support AV / ADAS development. You will help raise the engineering bar through sound technical judgment, strong execution, and mentorship of other engineers. About the Organization The GM AV Simulation team builds world-class testing and analysis products and technologies to help accelerate development of autonomous vehicles and broader vehicle software systems. Our customers range from AV developers understanding the effects of their code on vehicle behavior, to data engineers using our pipelines for evaluation insights, to release teams tracking top-line performance metrics. AV Simulation aims to deliver intuitive user experiences for robotics and AI engineers that help move GM toward a driverless future. Galileo is building the core infrastructure and architecture to support testing at scale. As part of this team, you will help build and evolve the infrastructure required for test organization, test triggering, test analysis workflows, and related data pipelines. What You’ll Do • Design, develop, and maintain software systems that support large-scale autonomous driving evaluation workflows • Own major components and services that enable simulation, test execution, analysis, and reporting at scale • Build and improve infrastructure used to process and analyze large volumes of driving and evaluation data • Drive reliable software delivery through strong engineering practices including code reviews, automated testing, observability, and continuous integration • Collaborate across teams to define technical requirements, resolve ambiguous problems, and deliver scalable solutions • Debug complex production issues, improve system performance, and strengthen operational excellence for critical infrastructure • Mentor other engineers and contribute to a collaborative, inclusive, and high-performing engineering culture • Support GM engineering culture through ownership, technical excellence, teamwork, and continuous improvement Your Skills & Abilities • BS, MS in Computer Science, Robotics, Software Engineering, or a related field, or equivalent practical experience • Demonstrated experience building and operating high-quality production software systems • Strong proficiency in one or more programming languages such as Python, Go, JavaScript, or C++ • Experience designing and building backend systems, APIs, data pipelines, or distributed systems • Solid understanding of software engineering fundamentals including testing, debugging, version control, code reviews, and system design • Experience working with cloud platforms such as AWS or GCP • Familiarity with relational databases such as PostgreSQL and analytics or warehouse technologies such as BigQuery or Redshift • Strong problem-solving, communication, and cross-functional collaboration skills • Ability to operate with ownership in a fast-paced engineering environment and drive work through ambiguity • Passion for autonomous driving technology and its potential impact on the world What Will Give You a Competitive Edge • Experience in robotics, AV / ADAS, simulation, or developer infrastructure • Experience building internal platforms, developer tools, or workflow orchestration s