Jobs / United States / General Motors Company
2027 Summer Intern – Software Engineer, AV/AI Platform
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 “AI/ML Engineer” (Software Developers) in MA: $187k–$187k, median $187k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% 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 About the Team: GM’s Autonomous Vehicle Platform Software Engineering organization builds the foundational software that enables autonomous-driving capabilities to run reliably on production vehicle platforms. The organization’s teams span platform operating systems and compute drivers, embedded MCU software, core services and tools, and system-performance engineering. Their work includes developing low-level platform software, middleware, service interfaces, software-update and deployment capabilities, diagnostics, logging and observability, and performance tooling across vehicle compute systems. Working at the intersection of software, hardware, AI/ML, and vehicle systems, the teams integrate operating systems, sensors, compute, and application workloads to deliver secure, efficient, testable, and production-ready autonomous-vehicle capabilities. Engineers collaborate closely with AV, AI/ML, hardware, systems, validation, and safety partners, with opportunities to contribute across embedded software, platform engineering, developer tools, and performance optimization. Depending on team needs, projects may focus on platform OS and drivers, MCU software, core services, vehicle software integration, or system and ML-workload performance. About the Role: As an Autonomous Driving Software Engineer Intern, you will contribute to the design, development, and validation of cutting-edge software powering self-driving systems. You’ll collaborate with experienced engineers across AV Platform teams to build scalable, safety-critical software for autonomous vehicles operating in real-world environments. What You’ll Do: • Develop, test, and deploy production-ready code across components of vehicle platform software. • Quickly ramp up on assigned codebase, product area, and/or system. • Complete assigned tasks efficiently with few iterations. • Identify problem statements, outline optimal solutions, account for tradeoffs and edge cases • Participate in design reviews, code reviews, technical discussions, and continuous integration and deployment practices. • Collaborate with cross-functional teams including hardware, systems, test, and safety to ensure seamless software integration. • Communicate effectively across multiple stakeholders. Required Qualifications: • Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelor's or Master's degree in computer science, artificial intelligence, machine learning, robotics, engineering, or a related STEM field. • Must be graduating between December 2027 and August 2029 and have at least one additional quarter/semester of school remaining following the completion of the internship. • Availability to work full-time, 40 hours per week, during the 12 week summer internship period between May 24th – August 13th or June 14th – September 3rd 2027 • Strong foundation in algorithms and data structures, with proficiency in C++, Python, or another object-oriented programming language. • Strong written and verbal communication skills and the ability to collaborate across teams. Preferred Qualifications • Demonstrated software engineering experience through an internship, work experience, coding competition, student engineering team or competition (e.g., SAE student competitions, EcoCAR, Formula SAE, or Baja SAE), research, coursework, or personal project. • Experience building, testing, and shipping production software, with exposure to safety-critical development (FDA, FAA, Automotive) • Familiarity with embedded build systems such as Yocto or Buildroot, networking fundamentals, and software integration across compute, MCU, and vehicle platforms. • Understanding of networking fundame