Staff AI/ML Engineer - Autonomy CI Platform

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.

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 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 software. As part of the CI Platform team, you will specialize in RBE (Remote Build Execution) and our in-house FUSE file system used for: CI, ML Training, Simulation, and Remote Build. You will support and extend this system by working with internal customers to help them integrate their tools that rely on source code to the in-house FUSE file system. This role's primary focus will be enabling source code editing in a developer environment from our FUSE file system. 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)   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 lead and influence others, both internal and external to the team  Ability to research, document, communicate, and defend proposals, and provide and take