Senior ML / AI Engineer - Developer Experience

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 Senior Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As an IC 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 Team

As a part of the AV Developer Productivity Org, the AV Developer Experience is responsible for creating and maintaining a robust, reliable, and cohesive inner loop development experience for AV developers at GM to optimize the rate at which quality code is produced at Cruise. We achieve through a combination of internally developed tools, vendor tools, and vendor tool integrations.

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.

What You’ll Do

Identify engineering pain points and propose / design / implement solutions that are reliable, scalable, and maintainable

Synthesize large amounts of company, org, customer information and context to establish priorities and 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

Your Skills & Abilities (Required 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

Understanding of AI Engineering principles and concepts

Experience designing highly scalable, reliable, and maintainable services

Experience writing in effective Go or other equivalent 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

Principled reasoning and the 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 leveling up the overall efficiency and effectiveness of the team

Passion for self-driving technology and its potential impact on the world

What Will Give You a Competitive Edge (Preferred Qualifications)

Experience designing, building, and operating production systems at scale in the cloud

Experience working with GCP

Experience working with gPRC, 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 $108,420 to $161,500. 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.

Benefits :

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.

Relocation :  This job may be eligible for relocation benefits.

Remote / Hybrid : This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.

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}.

The selected candidate will be required to travel <25% for this role.

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.

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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