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Senior ML/AI Engineer - Developer Experience

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General Motors

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Location:
United States , Austin

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Contract Type:
Not provided

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Salary:

108420.00 - 161500.00 USD / Year

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. 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.

Job Responsibility:

  • 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

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
  • 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

Nice to have:

  • 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
What we offer:
  • 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
  • incentive pay program based on company, job level, and individual performance
  • relocation benefits (if eligible)

Additional Information:

Job Posted:
March 03, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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