2027 Intern - AI/ML Engineer - Capacity & Performance Engineering, Autonomous Vehicles

GM • Sunnyvale, CA

24d • Hybrid

About The Position

The AV / AI Capacity & Performance Engineering team provides compute, networking, storage, and AI infrastructure for AI and machine learning work across areas including Embodied AI, Simulation, and Data Science. The team builds capacity models, improves cloud efficiency, supports vendor planning, and develops tools that make capacity, demand, utilization, reliability, and cost visible to engineering stakeholders. Its Capacity Intelligence system is being developed as an operational interface and single source of truth for capacity intake, cloud spending, budget pacing, quota and queue analysis, egress forecasting, and related insights, with plans to add cloud providers and advanced modeling capabilities.

As an intern, you will help develop and optimize the capacity intelligence system, focusing on integrating new capabilities. You will work with the engineering team to build scalable infrastructure, tools, and insights supporting Model Training, Simulation, CI Build, and Data Generation.

Requirements

• Currently enrolled in a full-time, degree-seeking program and 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 such as Java, C++, or Python.
• Experience coding in Python.
• Experience with SQL and BigQuery.
• Strong communication skills and experience collaborating across cross-functional teams.
• Able to work full-time, 40 hours per week.

Nice To Haves

• Demonstrated software engineering experience through an internship, work experience, or coding competitions.
• Familiarity with AI-assisted engineering tools for code generation, model analysis, or experiment planning.
• Creativity and quick problem-solving capabilities.
• Research or work experience in machine learning infrastructure.
• Experience with distributed systems such as Spark, Ray, Kubernetes, or Slurm.
• Experience in scheduling algorithms, orchestration, or compute.
• Intent to return to a degree program after the internship.
• Graduating between December 2027 and August 2028.

Responsibilities

• Develop scalable infrastructure, tools, and insights for Model Training, Simulation, CI Build, and Data Generation within the capacity intelligence program.
• Code deliverables in tandem with the engineering team.
• Perform specific responsibilities that vary by team.

Benefits

• Paid U.S. GM holidays.
• GM Family First Vehicle Discount Program.
• Result-based potential for growth within GM.
• Intern events to network with company leaders and peers.
• A one-time lump-sum taxable stipend payment for eligible students selected for the 2027 Student Program.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern