Jobs / United States / General Motors Company
oftware Engineer, AV Launch – Early Career
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 roles34 certified filings for “Senior Software Engineer” (Software Developers) in CA: $216k–$265k, median $235k. Most were filed at wage level IV (65%) — 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.
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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 About the Team The AV Launch team builds the software foundation that brings GM’s autonomous driving capabilities to life on the vehicle. We configure, deploy, launch, and monitor the applications that make up the autonomy stack, developing onboard services that orchestrate vehicle activities from startup through shutdown. We are part of GM’s Autonomous Vehicle Platform Core team, delivering the core software frameworks that enable other teams and major vehicle systems. We own critical platform capabilities that include software deployment, application configuration and lifecycle management, vehicle power and software modes, and observability systems. Our systems span embedded vehicle platforms, manufacturing lines, developer infrastructure, cloud services, and simulation. We support internal data collection fleets and production vehicles , and partner closely with platform teams and autonomy developers to solve complex problems. About the Role As an early career Software Engineer on the AV Launch team, you will design, implement, test, and operate the services that reliably manage autonomous driving software on GM vehicles. You will work across the software lifecycle: from understanding requirements and defining platform behavior to building production-quality services, integrating with vehicle hardware, validating behavior on benches and vehicles, and diagnosing issues in real-world environments. This role is designed for a recent graduate or engineer early in their career who wants to build depth in embedded systems, distributed software, vehicle platforms, and autonomous driving technology. You will learn from experienced engineers while contributing meaningful code to systems that must be dependable, observable, and maintainable. You will develop a systems-level perspective as you learn how individual services, devices, and vehicle states interact. Over time , you will turn that understanding into clear abstractions and design guidance that inform how other developers build vehicle software . What You’ll Do • Build on-vehicle services that provision, launch , and monitor autonomous vehicle software in development and production workflows. • Build frameworks to configure autonomy software for a wide variety of hardware platforms, simulation environments, and use cases. • Develop systems and frameworks to monitor vehicle status and reliability . • Work alongside experienced engineers to ramp up on AV software, embedded systems, and the production engineering practices required to support autonomous driving at scale. • Grow through progressively more complex assignments spanning design, implementation, integration, and testing. Required Qualifications • Recently completed a bachelor’s, master’s, or PhD degree in a STEM field. For completed degrees, graduation must have occurred within the past 9 months. • Strong background in C++ and Python development, demonstrated through coursework, internships, research, or substantial projects. • Experience developing in a Linux environment. • Strong grasp of software fundamentals including data structures, algorithms, operating systems , concurrency, and computer architecture. • Ability to debug complex software problems, reason about system behavior, and communicate clearly in a collaborative team environment. • Interest in autonomous vehicles, robotics, embedded systems, or high-performance software. Preferred Qualifications • Familiarity with robotics middleware platforms and related concepts, such as inter-process communication or logging. • Prior internship, research, or project experience in autonomous driving