Staff AI/ML Engineer - CI Platform

General Motors•Washington, DC

1d•Hybrid

About The Position

The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers 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. This role is categorized as hybrid, meaning 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.

Requirements

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 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

Nice To Haves

Experience working with GCP
Experience working with Docker and Kubernetes
Experience owning or contributing to Open-Source projects

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