Senior ML/AI Engineer - Agentic Developer Experience

Job Description This role is categorized as hybrid. This means 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. This position can be considered Remote if the successful candidate is in the Seattle, Washington area. About Us The AI Cloud and Developer Infrastructure 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 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 a part of th [... source excerpt omitted ...] . What You’ll Do Identify engineering pain points and propose/design/implement solutions that are reliable, scalable, and maintainable Synthesize large amounts of company, org, 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 which encourages these Help steer the engineering culture on the team Guide the team to find the right balance b [... source excerpt omitted ...] and through the team Set strong boundaries when selecting external requests and pushing back on requests that do not align with our team vision Your Skills & Abilities (Required Qualifications) 3+ 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 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 desi