Autonomous Vehicles AI/ML Intern — Developer Tools

General Motors Company

Sunnyvale (CA)

Hybrid

USD 107,000 - 132,000

Full time

14 days+

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Benefits offered by this job

Paid US GM Holidays
GM Family First Vehicle Discount — GM
Intern events to network with company 
Growth opportunities within GM

Job summary

General Motors Company is offering a hybrid internship in Sunnyvale, CA, focused on developing and improving tooling and productivity for AV engineers. You will work with Go, Python, and related technologies to ship improvements to our development toolchains.

The role emphasizes collaboration with senior engineers, adherence to best practices, and delivering reliable, scalable solutions while contributing to a strong engineering culture.

Qualifications

  • Currently enrolled in a full-time, degree-seeking program in Computer Science or related field.
  • Graduating between December 2027 and August 2028.
  • Strong understanding of highly scalable distributed systems.
  • Experience writing Go or other languages used for production services.
  • Understanding of Unix/Linux, SSH, and networking fundamentals.
  • Able to work full-time, 40 hours per week.

Responsibilities

  • Ship improvements to AV development toolchains and services with measurable impact on productivity and core metrics.
  • Collaborate with senior engineers to identify pain points and implement reliable, scalable solutions.
  • Communicate status of work effectively to the team.
  • Follow software engineering best practices within the team.
  • Contribute to the engineering culture on the team.
  • Demonstrate high levels of accountability.

Skills

Go
Python
Distributed systems
Unix/Linux

Education

Bachelors or Masters in Computer Science or related field

Tools

Docker
Kubernetes
gRPC
SSH
Linux
Buildkite
GCP
OpenTelemetry

Job description

General Motors Company is offering a hybrid internship in Sunnyvale, CA, focused on developing and improving tooling and productivity for AV engineers. You will work with Go, Python, and related technologies to ship improvements to our development toolchains.

The role emphasizes collaboration with senior engineers, adherence to best practices, and delivering reliable, scalable solutions while contributing to a strong engineering culture.

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