Summer Intern - AI​/ML Engineer, Cloud and Developer Infrastructure; Master's

Job Description

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.).

Hybrid:
This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. This internship may be considered remote for an individual in the Seattle area.

• Mountain View, California
• Sunnyvale, California
• Austin, Texas
• Detroit, Michigan
• Warren, Michigan
• Milford, Michigan

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.

• Ship improvements to our AV development tool chains 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.
• Type of tools/functionality this position works on.

• Golang, Python, gRPC, SSH, Kubernetes, Docker, Linux, Buildkite, GCP, Open Telemetry.

• Currently enrolled in a full‑time, degree‑seeking program and in the process of obtaining a Master’s 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.

• 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.

• The monthly salary range for this role is $9,100 - $10,600 per month.
• GM will provide a one‑time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program.

• 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.

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can…