Staff AI/ML Engineer, Developer Productivity

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 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 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 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)

• 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 lead and influence others, both internal and external to the team
• Ability to research, document, communicate, and defend proposals, and provide and take critical feedback
• Ability to effectively make trade-offs and communicate the reasoning
• Ability to manage competing priorities, focus on shipping, and work effectively under pressure
• Passion for mentoring and growing junior engineers
• Passion for self-driving technology and its potential impact on the world

Preferred Qualifications (Nice-to-Have)

• Demonstrated application of LLMs, skills, and MCPs to coding & review workflows
• Experience working with GCP
• Experience working with Docker and Kubernetes
• Experience owning or contributing to Open-Source projects

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. …