2027 Summer Intern - AI/ML Engineer - Autonomous Vehicles

About the role

Work Arrangement

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.

Locations: Sunnyvale, California

About The Role

We are looking for an intern with strong engineering fundamentals and who is passionate about developing tooling and 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.

What You'll Do

• 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.
• Type of tools/functionality this position works on.
• Golang, Python, gRPC, SSH, Kubernetes, Docker, Linux, Buildkite, GCP, OpenTelemetry.

Required Qualifications

• Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelors OR Masters degree in Computer Science or a related field.
• Graduating between December 2027 and August 2028.
• An academic understanding of highly scalable distributed systems.
• Experience writing Go 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.

Preferred Qualifications

• Attention to detail, and a desire to improve processes and systems around you.
• Experience with GCP.
• Experience with Docker and Kubernetes.
• Hands-on experience utilizing agentic developer tools.
• Passion for self-driving technology and its potential impact on the world.
• Intent to return to degree-program after the completion of the internship.

Compensation

• The monthly salary range for this role is $9,600 - $11,800 per month
• GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program.

What you'll get from us (Benefits)

• Paid US GM Holidays
• GM Family First Vehicle Discount Program
• Result-based potential for growth within GM
• Intern events to network with company leaders and peers

Benefits Overview

• From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
• Non-Discrimination and Equal Employment Opportunities (U.S.)

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 thrive and develop better products for our customers.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.