Jobs / United States / General Motors Company
2027 Intern - AI/ML Engineer, Autonomous Vehicle ML Infrastructure
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 roles2 certified filings for “Senior ML Engineer - Embodied AI Offboard Percepti” (Data Scientists) in CA: $230k–$240k, median $235k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. The pay stated here ($9,600 - $11,800 per month) is below what this employer usually pays sponsored hires for this role. 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 Work Arrangement: Hybrid: This internship is categorized as a hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. Location: Sunnyvale, California About the Team: The AV ML Infra team at GM builds ML infrastructure designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more. We enable scalable and efficient ML experimentation, enhance the productivity of ML engineers, and drive the adoption of cutting-edge ML techniques. Our AV ML infrastructure includes: AI Validation & Inference: Ensures robust model performance by running large-scale simulation workloads and managing reliable ML inference pipelines. ML Compute: Streamlines and optimizes large-scale ML training and inference across cloud and on-prem compute resources. AV Pipelines & Lineage: Automates ML workflows via Orchestration platform while tracking data and model lineage across diverse infrastructures, accelerating engineering velocity and ensuring reproducibility. Together, these tools and systems empower GM to tackle the complexities of autonomous driving technology and expedite our path to commercialization. About the Role: As an intern, you will help develop and optimize our AV ML Infra by improving data processing pipelines, scheduling, accelerating model training and inference workflows, and/orenhancing testing infrastructure like Carbench/HIL. You will support tool development, instrumentation, and system monitoring to boost reliability, reduce latency, and increase iteration speed for autonomous driving performance. What You’ll Do: • Develop scalable infrastructure and tools to support model training, regression, and rules-based models, operations, and inference. • Suggest, collect and synthesize requirements and create effective feature roadmap. • Code deliverables in tandem with the engineering team. • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). • Perform specific responsibilities which vary by team. 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 or a related technical field. • Experience in systems software or algorithms. • Experience with modern object-oriented programming languages (e.g., Java, C++, Python). Experience coding in Java, C/C++, Perl, PHP, GO or Python. • Strong communication skills with experience collaborating across cross- functional teams. • Able to work full-time, 40 hours per week. Preferred Qualifications: • Demonstrated software engineer experience via an internship, work experience, coding competitions. • Familiarity with AI-assisted engineering tools (e.g., for code generation, model analysis, or experiment planning). • Demonstrated creativity and quick problem-solving capabilities. • Research and/or work experience in machine learning infrastructure. • Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable. • Experience with distributed systems (e.g., Spark, Ray, Kubernetes, Slurm). • Experience in scheduling algorithms, orchestration or compute. • Intent to return to degree-program after internship. • Graduating between December 2027 and August 2028. Compensation: • The monthly salary range for this role is $9,600 - $11,800 per month. • GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program. What You’ll Get from Us (Benefits): • Paid US GM Holidays • GM Family First Vehicle Discount Program • Result-based potential for growth within GM • Intern events