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Staff AI/ML Engineer, Developer Productivity

$180k - $284k • Mountain View, California, United States of America • Full-time

Posted 29d ago

Job Location

Mountain View, California, United States of America

Tech Stack

Remote Work Policy

On-site

Employment Type

Full-time

Categories

Machine Learning Engineer

About the job

The AI Cloud and Developer Productivity organization delivers and maintains the tools and services engineers use daily to enhance the entire development process, from code checkout to deployment. The AV Developer Tools team specifically owns AI-native tools and services that enable consistent and secure agentic workflows with visibility into their usage. The goal is to accelerate AV development by supporting developer workflows for performance and observability, ensuring production-level reliability and availability. This role focuses on building AI-native tools and services to improve developer productivity.

Responsibilities

  • 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 (PoCs).
  • Ship improvements to AV development toolchains and services that measurably impact engineering productivity and core company metrics.
  • Drive software engineering best practices and create tooling to encourage them.
  • Help steer the engineering culture on the team.
  • Guide the team to balance delivering impact with addressing technical debt.
  • Mentor and grow engineers on the team.
  • Set an example for high levels of accountability.
  • Execute and deliver impact individually and through the team.
  • Set strong boundaries when selecting external requests and push back on misaligned requests.

Requirements

  • 5+ 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.
  • Ability to lead and influence others.
  • Ability to research, document, communicate, and defend proposals, and provide/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.

Benefits

  • Bonus Potential based on company, job level, and individual performance.
  • Medical, dental, and vision insurance.
  • Health Savings Account (HSA).
  • Flexible Spending Accounts (FSA).
  • Retirement savings plan.
  • Sickness and accident benefits.
  • Life insurance.
  • Paid vacation and holidays.
  • Tuition assistance programs.
  • Employee assistance program.
  • GM vehicle discounts.
  • Relocation benefits.

About General Motors