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   appl ication of   LLM s, skills, and MCPs   to   cod ing   & 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.

The salary range for this role: is $180,000 to $284,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

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This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

Relocation benefits are available for candidates who qualify under company policy.

 About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.