Senior ML/AI Engineer - Agentic 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 Agentic Developer Engineer 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 $178,420 to $230,500. 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.

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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._ \#GM-AV-1 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