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Senior AI/ML Engineer - CI Platform

General Motors
Mountain View, United Statesfull_timeVerifiedPosted 30 Oct 2025
💰 $240,000/yr($170,000/yr$240,000/yr)

About the role

Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to the office in [Austin, Detroit, Warren, Milford, Mountain View or Sunnyvale] a minimum of 3 days per week. This position can be considered Remote if the successful candidate is in the Seattle, Washington area.

About Us 

 

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. 

 

The Role 

 

We are looking for a Senior Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers. 

 

The way this engineer will deliver impact may vary depending on the situation, but they will be expected to be able to identify how they can best have impact with minimal guidance. 

 

The Team 

 

The Continuous Integration (CI) Platform team owns our CI infrastructure along with the tools that improve the CI customer experienceWe are part of the AI and Cloud Developer Productivity Organization and own the building blocks to produce high quality CI experiences and workflows. This includes services such as the Remote Build Execution (RBE) service which allows GM AI to reliably test at scale and the build artifact storage which is a FUSE based network file system used in conjunction with RBE. Our goal is to accelerate AV development by supporting developer workflows for building, testing, and releasing software. 

 

What You’ll Do (Responsibilities) 

  • Identify engineering pain points and propose/design/implement solutions that are reliable, scalable, and maintainable 

  • Influence the team’s technical roadmap 

  • Evaluate new tools and technologies through PoCs 

  • Ship improvements to our AV development toolchains and services which have a measurable and direct impact on engineering productivity and our core company metrics 

  • Drive software engineering best practices within your team, and create tooling which encourages these 

  • Help steer the engineering culture on the team 

  • Guide the team to find the right balance between delivering impact and addressing technical debt 

  • Mentor and grow engineers on the team 

  • Set the example for high levels of accountability 

  • Execute and deliver impact both individually and through the team 

  • Set strong boundaries when selecting external requests and pushing back on requests that do not align with our team vision 

 

Minimum Qualifications (Must-Have) 

  • 3+ years of experience designing, building and operating production systems at scale in the cloud 

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Company

General Motors

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