Jobs / United States / General Motors Company
2027 Summer Intern – Software Verification Engineer, AV/AI Platform
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 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: AV Platform System Integration and Validation team is responsible for defining, implementing, and optimizing system integration & validation to ensure the quality, safety, and reliability of the AV platform software. We combine deep expertise in hardware, software features, and vehicle systems engineering to ensure the quality, safety, and reliability of the ADAS/AV platform software. About the Role: As an Autonomous Driving System Integration & Validation Intern, you will contribute to the integration, testing, and validation of software and hardware systems that power autonomous vehicles. You’ll collaborate with experienced engineers across AV Platform teams to bring up complex systems, develop test automation, analyze results, and help ensure reliable performance in real-world operating environments. What You Will Do : • Execute functional bring-up and system integration on subsystem and system benches. • Evaluate system interactions across compute platforms, ECUs, sensors, and vehicle software. • Execute functional, performance, and validation tests using simulation, HIL, SIL, benches, and on-road fleets. • Develop Python-based automation and supporting tools to improve testing efficiency and accelerate development cycles. • Analyze test data, document results, consolidate findings, and support root-cause investigations. • Support the creation of datasets, scenario libraries, and automated test pipelines for HIL and SIL environments. • Identify problem statements, outline effective solutions, and account for tradeoffs and edge cases. • Participate in technical discussions, test planning, design reviews, and cross-functional problem-solving. • Collaborate with software, hardware, systems, safety, and vehicle engineering teams to ensure seamless system integration. • Communicate test results, technical findings, and recommendations clearly 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, electrical engineering, computer 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. • Experience programming in C++, Python, or another object-oriented language. • Strong interest in working with hardware, embedded systems, system integration, automated testing, or related areas. • Strong problem-solving, analytical, written, and verbal communication skills. • Ability to work collaboratively across software, hardware, systems, test, and safety teams. • 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. 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. • Hands-on experience building, testing, debugging, or integrating hardware and software systems. • Familiarity with communication protocols such as CAN, LIN, or Ethernet. • Coursework or project experience involving Python, C/C++, embedded microcontrollers, or test automation. • Basic understanding of embedded Linux, real-time systems, ECUs, sensors, or vehicle networks. • Experience with simulation, hardware-in-the-loop, software-in-the-loop, test benches, or automated validation pipelines. • Experience analyzing test data and