Senior AI/ML Engineer - Autonomy CI Platform

Description

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 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 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 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)

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.

Minimum 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 

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 

Preferred Qualifications (Nice-to-Have)

Experience working with GCP 

Experience working with Docker and Kubernetes 

Experience owning or contributing to Open-Source projects 

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.  

The salary range for this role: is $170,600 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. 

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. 

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Total Rewards | Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. 

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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