2027 Intern - AI/ML Engineer - Capacity & Performance Engineering, Autonomous Vehicles
$115k - $142k • Sunnyvale, California, United States of America • Internship
Posted 17d ago
About the job
The AV / AI Capacity & Performance Engineering team provides essential compute, networking, storage, and AI infrastructure to support AI and ML innovation across various use cases. The team focuses on building capacity models, enhancing cloud efficiency, supporting vendor planning, and developing tools to provide visibility into capacity, demand, utilization, reliability, and cost for engineering stakeholders. Our Capacity Intelligence system serves as the central operational interface for capacity intake, cloud spending, budget pacing, quota and queue analysis, egress forecasting, and related capacity insights, with ongoing expansion to include new cloud providers and advanced modeling capabilities. As an intern, you will contribute to the development and optimization of this system, focusing on integrating new functionalities and developing scalable infrastructure, tools, and insights to support model training, simulation, CI build, and data generation.
Responsibilities
- Develop scalable infrastructure, tools, and insights for the capacity intelligence program, supporting model training, simulation, CI build, and data generation.
- Write code deliverables in collaboration with the engineering team.
- Perform specific responsibilities that may vary by team.
Requirements
- Currently enrolled in a full-time, degree-seeking Bachelor's or Master's program in computer science or a related technical field.
- Experience in systems software or algorithms.
- Proficiency in modern object-oriented programming languages such as Java, C++, or Python, with specific experience coding in Python.
- Experience with SQL and BigQuery.
- Strong communication skills and experience collaborating with cross-functional teams.
- Ability to work full-time, 40 hours per week.
Benefits
- Paid US GM Holidays
- GM Family First Vehicle Discount Program
- Result-based potential for growth within GM
- Intern events for networking with company leaders and peers