Staff AI/ML Engineer - CI Platform

General Motors (GM)

Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TXWarren, MIMountain View, CASunnyvale, CA
Salary
$170,000–$300,000 / yr
Posted
46 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $207k
This role $235k
$153k most similar roles pay here $316k

This role pays more than 71% of similar roles. Most pay $168,593–$246,150 — the shaded band above. At the midpoint, this role pays about $235k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 130 open roles on FindRole.

Listed pay typically runs $160,200–$261,300 across 74 roles with salary data.

Most-posted roles

View all roles at General Motors (GM)

At a glance

TL;DR · Staff AI/ML Engineer - CI Platform

As a Staff Engineer on the Continuous Integration (CI) Platform team at General Motors, you will lead the development and maintenance of tools that enhance developer productivity for autonomous vehicle engineers. Your role involves identifying pain points in the CI process, proposing scalable solutions, and implementing reliable services such as Remote Build Execution (RBE). You will influence the technical roadmap, evaluate new technologies through proof-of-concepts, and mentor junior team members to foster a culture of excellence. Key responsibilities include driving best practices, managing competing priorities, and ensuring that your work has a measurable impact on engineering productivity and company metrics. The ideal candidate has 7+ years of experience in building production systems at scale, proficiency in Go or Python, and a strong understanding of Unix/Linux fundamentals. Experience with cloud platforms like GCP, Docker, Kubernetes, and open-source contributions is preferred.

What you'll do

  • Identify and solve engineering pain points with reliable, scalable solutions.
  • Influence the team’s technical roadmap and evaluate new tools through PoCs.
  • Improve AV development toolchains to enhance engineering productivity significantly.
  • Drive software engineering best practices and create tooling that encourages them.
  • Mentor engineers on the team and guide them in balancing impact and debt.

What we're looking for

  • 7+ years of experience designing and operating production systems at scale in the cloud.
  • Strong background in Go, Python, or other languages for large-scale production environments.
  • Proven ability to design highly scalable, reliable, and maintainable services.
  • Deep understanding of Unix/Linux, SSH, and networking fundamentals.
  • Excellent leadership skills with a focus on mentoring junior engineers.
  • Capacity to manage competing priorities and deliver under pressure effectively.
  • Skill in researching, documenting, and defending technical proposals.

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