Staff AI/ML Engineer - Autonomy CI Platform

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 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 del [... source excerpt omitted ...] y how they can best have impact with minimal guidance. The Team The Continuous Integration (CI) Platform team owns our CI infrastructure along with the tools that improve the CI customer experience. We are part of the AI and Cloud Developer Productivity Organization and own the building blocks to produce high quality CI experiences and workflows. This includes services such as the Remote Build Execution (RBE) service which allows GM AI to reliably test at scale and the build artifact storage which is a FUSE based network file system used in conjunction with RBE. Our goal is to accelerate AV development by supporting developer workflows for building, testing, and releasing softw [... 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) 7+ 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