Staff AI/ML Engineer, Developer Productivity

General Motors (GM)

Remote

Quick summary

Work type
Remote
Location
Mountain View, CA · Washington · Austin, TX · Warren
Salary
$180,000–$284,000 / yr
Posted
54 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $196k
This role $232k
$140k most similar roles pay here $299k

This role pays more than 77% of similar roles. Most pay $162,000–$230,425 — the shaded band above. At the midpoint, this role pays about $232k versus about $196k 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 126 open roles on FindRole.

Listed pay typically runs $170,000–$258,500 across 75 roles with salary data.

Most-posted roles

View all roles at General Motors (GM)

At a glance

TL;DR · Staff AI/ML Engineer, Developer Productivity

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As a Staff Engineer on the AV Developer Tools team within the AI Cloud and Developer Productivity organization at GM, you will lead efforts to enhance developer productivity by identifying pain points and proposing scalable solutions. Your responsibilities include influencing the technical roadmap, evaluating new tools through PoCs, and mentoring junior engineers while fostering a culture of accountability and best practices. You will work with technologies like Go or Python in cloud environments, ensuring services are reliable and maintainable at scale. This role requires 5+ years of experience in designing and operating production systems, along with strong leadership skills to guide the team towards achieving both immediate impact and long-term technical goals.

Skills

Go Python Docker Kubernetes GCP CI/CD Unix/Linux SSH Networking Terraform AWS PostgreSQL MVP LLMs MCPs

What you'll do

  • Identify and solve engineering pain points by designing reliable, scalable solutions.
  • Influence the team’s technical roadmap and evaluate new tools through PoCs.
  • Ship improvements to AV development toolchains with measurable impacts on productivity.
  • Drive software engineering best practices and create tooling that encourages these practices.
  • Mentor engineers, guiding them in balancing impact delivery and addressing technical debt.

What we're looking for

  • 5+ years of experience designing and operating production systems at scale in the cloud.
  • Strong background in building highly scalable, reliable, and maintainable services.
  • Proficiency in Go, Python, or other languages for production-scale applications.
  • Deep understanding of Unix/Linux, SSH, and networking fundamentals.
  • Proven ability to lead, influence others, and manage competing priorities effectively.

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