Autonomous AI Engineer Intern — Summer 2027

General Motors Corporation; Sunnyvale (CA); Hybrid; USD 90,000 - 132,000; Full time

Job summary

General Motors Corporation in Sunnyvale, CA invites an intern to help develop and optimize our AI training platform, focusing on data processing pipelines, model training and inference workflows, and testing infrastructure.

You will work with engineers to implement scalable tools, adapt ML methods to parallel environments, and contribute to cross-team efforts through August 2027. The program runs 12 weeks, with hybrid work and opportunities to impact autonomous driving technology.

Qualifications

• Currently enrolled in a full-time degree program and pursuing Bachelor's or Master's in CS/AI/ML/robotics or related STEM.
• Graduating between December 2027 and August 2029 with at least one term remaining after internship.
• Available to work full-time, 40 hours/week for a 12-week summer internship (May 24–Aug 13 2027 or Jun 14–Sep 3 2027).
• Strong foundation in algorithms and data structures; proficiency in C++/Python.
• Experience with AI/ML coursework, projects, or research; strong communication and collaboration skills.

Responsibilities

• Develop scalable infrastructure and tools to support model training and deployment to edge devices and inference.
• Suggest, collect and synthesize requirements; create feature roadmaps with managers or leads.
• Code deliverables in tandem with the engineering team.
• Adapt ML methods to parallel environments (distributed clusters, multicore SMP, GPU).
• Perform responsibilities which vary by team.

Skills

Algorithms

Data structures

C++

Python

Communication

Team collaboration

Software development

Systems engineering

Education

Bachelor's or Master's degree in CS/AI/ML/Robotics/Engineering

Tools

CUDA

PyTorch

TensorRT

ONNX

Kubernetes

Spark

Ray

Slurm

Kubeflow

Job description

General Motors Corporation in Sunnyvale, CA invites an intern to help develop and optimize our AI training platform, focusing on data processing pipelines, model training and inference workflows, and testing infrastructure.

You will work with engineers to implement scalable tools, adapt ML methods to parallel environments, and contribute to cross-team efforts through August 2027. The program runs 12 weeks, with hybrid work and opportunities to impact autonomous driving technology.