2026 Summer Intern – AI/ML Engineer, Cloud and Developer Infrastructure (Master's)

GM•Mountain View, CA

6h•Hybrid

About The Position

The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhancing the entire development process of engineers at GM — how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain. We are looking for an intern with strong engineering fundamentals and who is passionate about developer productivity. As a member of this team, we are looking for someone who cares deeply about the quality of software and products the team owns. The way this engineer will deliver impact may vary depending on the situation but they will be expected to partner effectively with other engineers, take feedback and guidance from more experienced team members, and deliver effective and reliable solutions to tasks at hand.

Requirements

Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Masters degree in Computer Science or a related field.
An academic understanding of highly scalable distributed systems.
Experience writing Go, Python, or other languages commonly used for production services.
Understanding of Unix/Linux, SSH, and networking fundamentals.
Able to work full-time, 40 hours per week.

Nice To Haves

Attention to detail, and a desire to improve processes and systems around you.
Experience with GCP.
Experience with Docker and Kubernetes.
Passion for self-driving technology and its potential impact on the world.
Intent to return to degree-program after the completion of the internship.
Graduating with a Master's Degree between December 2026 and June 2027.

Responsibilities

Ship improvements to our AV development toolchains and services which have a measurable and direct impact on engineering productivity and our core company metrics.
Leverage the guidance and experience of more senior engineers on the team to identify engineering pain points and implement solutions that are reliable, scalable, and maintainable.
Effectively communicate the status of their work.
Follow software engineering best practices within your team.
Contribute to the engineering culture on the team.
Demonstrate high levels of accountability.