Senior ML/AI Engineer - Agentic Developer Experience

Job Description

This role is categorized as hybrid. The successful candidate is expected to report to the office in Austin, Detroit, Warren, Milford, Mountain View or Sunnyvale a minimum of 3 days per week. The position can be considered Remote if the candidate is in the Seattle, Washington area. The selected candidate will be required to travel less than 25% for this role. This job may be eligible for relocation benefits.

About Us

The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services that engineers at GM use every day to do their best work and drive our cars forward. We enhance 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 Senior Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As an IC 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 Team

As part of the AV Developer Productivity Org, the AV Developer Experience is responsible for creating and maintaining a robust, reliable, and cohesive inner loop development experience for AV developers at GM to optimize the rate at which quality code is produced at Cruise. We achieve this through a combination of internally developed tools, vendor tools, and vendor tool integrations.

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.

What You’ll Do (Responsibilities)

• Identify engineering pain points and propose, design, and implement solutions that are reliable, scalable, and maintainable.

• Synthesize large amounts of company, org, and customer information and context to establish priorities and 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 that 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 push back on requests that do not align with our team vision.

Minimum Qualifications (Must-Have)

• 3+ years of experience designing, building, and operating production systems at scale in the cloud.

• Bachelor’s Degree in Computer Science or related field or equivalent work experience.

• Understanding of AI Engineering principles and concepts.

• Experience designing highly scalable, reliable, and maintainable services.

• Experience writing in effective Go or other equivalent 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.

• Principled reasoning and the 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 leveling up the overall efficiency and effectiveness of the team.

• Passion for self‑driving technology and its potential impact on the world.

Preferred Qualifications (Nice‑to‑Have)

• 5+ years of experience designing, building, and operating production systems at scale in the cloud.

• Experience working with GCP.

• Experience working with gRPC, Docker, and Kubernetes.

• Experience owning or contributing to Open‑Source projects.

Non‑Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800‑865‑7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.