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General Motors

Staff AI/ML Engineer – Autonomy CI Platform

General Motors

Staff AI/ML Engineer enhancing General Motors’ autonomous-vehicle CI platform, Remote Build Execution, and FUSE systems. Improving developer productivity through scalable cloud tooling and engineering leadership.

Posted 9/9/2026full-timeMountain View • California, Missouri, Texas, Washington • 🇺🇸 United StatesLead💰 $218,800 - $335,300 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing, building, and operating scalable production systems in the cloud, with a strong focus on software engineering best practices and mentoring junior engineers. Proficient in Go and Python, with a solid understanding of Unix/Linux and networking fundamentals.

Highest-signal resume keywords
7+ Years Experience In Production SystemsGo Programming LanguagePython Programming LanguageCloud Infrastructure ExperienceFUSE File System Specialization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Production System DesignScalable Service DevelopmentSoftware Engineering Best PracticesRemote Build ExecutionUnix/Linux ProficiencyNetworking FundamentalsDocker ExperienceKubernetes ExperienceOpen-Source ContributionCI/CD Integration
Soft Skills
MentoringInfluencing OthersAttention To DetailCritical Feedback CommunicationManaging Competing Priorities
Tools & Technologies
GCPFUSE File SystemDockerKubernetesSSH
Certifications & Qualifications
Bachelor's Degree In Computer Science
Industry Keywords
Cloud ComputingSelf-Driving TechnologyEngineering CultureTechnical RoadmapEngineering Productivity

Tech Stack

Tools & technologies
CloudDockerGoGoogle Cloud PlatformKubernetesLinuxPythonUnix

About the role

Key responsibilities & impact
  • Identify engineering pain points and propose, design, and implement reliable, scalable, and maintainable solutions
  • Influence the team's technical roadmap
  • Evaluate new tools and technologies through proofs of concept
  • Ship improvements to AV development toolchains and services with measurable impact on engineering productivity and company metrics
  • Drive software engineering best practices and create tooling that encourages them
  • Help steer the team's engineering culture
  • Guide the team in balancing delivery impact with technical debt
  • Mentor and grow engineers on the team
  • Set an example for accountability
  • Execute and deliver impact individually and through the team
  • Set boundaries when evaluating external requests against the team's vision
  • Specialize in Remote Build Execution and the in-house FUSE file system used for CI, ML training, simulation, and remote build
  • Support and extend the FUSE system and help internal customers integrate source-code-dependent tools
  • Enable source code editing in developer environments from the FUSE file system

Requirements

What you’ll need
  • 7+ years of experience designing, building, and operating production systems at scale in the cloud
  • Bachelor's 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 desire to improve processes and systems
  • Ability to lead and influence others, internally and externally
  • Ability to research, document, communicate, and defend proposals, and provide and take critical feedback
  • Ability to 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
  • Preferred: experience working with GCP
  • Preferred: experience working with Docker and Kubernetes
  • Preferred: experience owning or contributing to open-source projects

Benefits

Comp & perks
  • Bonus potential through an incentive pay program based on company performance, job level, and individual performance
  • Medical, dental, and vision benefits
  • Health Savings Account
  • Flexible Spending Accounts
  • Retirement savings plan
  • Sickness and accident benefits
  • Life insurance
  • Paid vacation and holidays
  • Tuition assistance programs
  • Employee assistance program
  • GM vehicle discounts
  • Company vehicle evaluation program, subject to motor vehicle report review
  • Potential relocation benefits