Senior AI/ML Engineer - Autonomy CI Platform

GM•Sunnyvale, CA

1d•Hybrid

About The Position

The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers 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 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.

Requirements

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
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

Collaborate with engineers across the company to understand and support their development workflows.
Own technical projects from start to finish and be responsible for major technical decisions and tradeoffs.
Lead complex projects that span teams, with many partners and customers.
Effectively participate in planning, code reviews, and design discussions.
Contribute impactful projects to the team’s roadmap.
Thrive in a fast-paced, collaborative work environment where impact is a result of your efforts and where your contribution is highly visible.
Drive software engineering best practices both within our team and across engineering.
Create tooling that encourages and supports these practices.
Mentoring and up-leveling other engineers on the team.
Conduct technical interviews with well-calibrated standards and play a crucial role in recruiting activities.
Be a positive contributor to our team culture.