Staff AI/ML Engineer, Developer Productivity
AI summary of the role
Staff AI/ML Engineer role on the AV Developer Tools team at GM, focused on building AI-native tools and services to accelerate autonomous vehicle development.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Identify engineering pain points and propose/design/implement reliable, scalable, and maintainable solutions
- Influence the team’s technical roadmap
- Evaluate new tools and technologies through PoCs
- Ship improvements to AV development toolchains and services that directly impact engineering productivity
What you’ll bring
- 5+ years of experience designing, building, and operating production systems at scale in the cloud
- Bachelors Degree in Computer Science or related field or equivalent work experience
- Experience writing in Go, Python, or other languages at production scale
- Understanding of Unix/Linux, SSH, and networking fundamentals
Technologies
Go · Python · Unix/Linux · SSH · LLMs · MCPs · GCP · Docker · Kubernetes · Open-Source
About General Motors
Global automaker selling Chevrolet, GMC, Cadillac, and Buick vehicles, plus financing and connected services, while shifting into EVs and driver assistance.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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 AV Developer Tools team owns AI-native tools and services that enable others to deploy consistent and secure agentic workflows with visibility into their usage, both hosted and on-device. We are part of the AI Cloud and Developer Productivity organization and own building blocks that allow customers to easily instrument their products to debug, optimize, reach, and maintain production level reliability and availability. This includes setting best practices and providing opinionated drop-in libraries and recommendations for
More from the job description
Job Description About Us The AI Cloud and Developer Productivity 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 Staff 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 AV Developer Tools team owns AI-native tools and services that enable others to deploy consistent and secure agentic workflows with visibility i [... source excerpt omitted ...] rt of the AI Cloud and Developer Productivity organization and own building blocks that allow customers to easily instrument their products to debug, optimize, reach, and maintain production level reliability and availability. This includes setting best practices and providing opinionated drop-in libraries and recommendations for service instrumentation. Our goal is to accelerate AV development by supporting developer workflows for performance and observability into their systems. 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 [... source excerpt omitted ...] 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) 5+ years of experience designing, building and operating production systems at scale in the cloud Bachelors Degree in Computer Science or related field or equivalent work experience Experience designing highly scalable, reliable, and maintainable services Experience writing in Go, Python, or other languages at production scale Understanding of Unix/Linux, SSH, and networking fundamentals Attention to detail, and a desire to improve processes and systems around you Ability to
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