General Motors
2027 Intern - AI/ML Engineer - Capacity & Performance Engineering, Autonomous Vehicles
Sunnyvale, California, United States of America · Hybrid · Internship · Posted Oct 14, 2026
- Experience
- No specific number of years stated.
- Education
- Currently pursuing a Bachelor's or Master's degree in computer science or a related technical field.
About the job
Develop and optimize GM’s capacity intelligence system, building tools and insights for compute capacity and performance across autonomous-vehicle AI and engineering workloads.
What you'll do
- Develop scalable infrastructure, tools, and insights for Model Training, Simulation, CI Build, and Data Generation.
- Code deliverables in collaboration with the engineering team.
- Help integrate new capabilities into the capacity intelligence system.
What they ask for
- Currently enrolled full-time in a degree-seeking program pursuing 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 and Python; experience with SQL and BigQuery.
- Strong communication and cross-functional collaboration skills; able to work 40 hours per week.
Nice to have
- Software engineering experience through an internship, work experience, or coding competitions; familiarity with AI-assisted engineering tools.
- Research or work experience in machine learning infrastructure; experience with distributed systems, scheduling algorithms, orchestration, or compute.
Pay
$9,600 - $11,800 per month (base salary)
Tools
Java, C++, Python, SQL, BigQuery, Spark, Ray, Kubernetes
AI focus
Supports AI/ML infrastructure and capacity insights for Model Training, Simulation, Data Science, and related workloads; familiarity with AI-assisted engineering tools is preferred.
Model-written summary · the original posting is authoritative