AI/ML Capacity & Performance Intern - Hybrid Sunnyvale

General Motors Corporation; Sunnyvale (CA); Hybride; USD 107 000 - 132 000; Plein temps

Avantages offerts par ce poste

Hybrid work arrangement

Stipend for eligible students

Résumé du poste

General Motors Corporation in Sunnyvale, California is seeking a 2027 Intern - AI/ML Engineer for Capacity & Performance Engineering to support capacity intelligence work for autonomous vehicles. This hybrid internship reports to a team focused on compute, networking, storage, and AI infrastructure.

You will develop scalable infrastructure using Java/C++/Python, SQL/BigQuery, and tools like Spark, Ray, Kubernetes, and Slurm while gaining hands-on experience with model training, simulation, and

Qualifications

• Currently enrolled in a full-time degree program pursuing a Bachelor's or Master's in computer science or a related technical field.
• Experience in systems software or algorithms.
• Proficiency in Java, C++, and Python; comfortable with SQL/BigQuery.
• Strong communication and cross-functional teamwork.

Responsabilités

• Develop scalable infrastructure, tools and insights to support capacity intelligence workflows.
• Code deliverables in collaboration with the engineering team.
• Contribute to capacity models, data generation and performance optimization.

Connaissances

Java

C++

Python

SQL

BigQuery

Data structures

Communication

Team collaboration

Object-oriented programming

Formation

Bachelor's or Master's in CS/related field

Outils

Spark

Ray

Kubernetes

Slurm

Description du poste

General Motors Corporation in Sunnyvale, California is seeking a 2027 Intern - AI/ML Engineer for Capacity & Performance Engineering to support capacity intelligence work for autonomous vehicles. This hybrid internship reports to a team focused on compute, networking, storage, and AI infrastructure.

You will develop scalable infrastructure using Java/C++/Python, SQL/BigQuery, and tools like Spark, Ray, Kubernetes, and Slurm while gaining hands-on experience with model training, simulation, and