Senior AI/ML Engineer, Autonomy CI Platform

General Motors (GM)

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Sunnyvale, CAWashingtonAustin, TXMountain View, CAWarren, MI
Salary
$170,600–$261,300 / yr
Posted
51 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $209k
This role $216k
$160k most similar roles pay here $273k

This role pays less than 54% of similar roles. Most pay $171,500–$246,150 — the shaded band above. At the midpoint, this role pays about $216k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 116 open roles on FindRole.

Listed pay typically runs $160,200–$245,000 across 59 roles with salary data.

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At a glance

TL;DR · Senior AI/ML Engineer, Autonomy CI Platform

Senior AI/ML Engineer - Autonomy CI Platform is a senior-level role within the Continuous Integration Platform team. This position focuses on building and maintaining infrastructure that improves the developer experience for autonomous vehicle engineers. You will specifically work on Remote Build Execution services and an in-house FUSE-based network file system used for CI, ML training, simulation, and remote builds. Your daily responsibilities include owning technical projects from inception to completion, making critical architectural decisions, mentoring junior engineers, and collaborating with internal customers to integrate tools into the existing infrastructure. The role requires proficiency in Go, Python, Unix/Linux, SSH, and networking fundamentals. You will solve complex problems related to scaling build artifacts and enabling source code editing within a distributed development environment while promoting software engineering best practices across the organization.

What you'll do

  • Manage and support Remote Build Execution (RBE) services for large-scale testing and build artifact storage.
  • Maintain and extend an in-house FUSE file system used for CI, ML training, and simulation.
  • Enable source code editing within developer environments using the internal FUSE file system.
  • Own technical projects from inception to completion, including making critical architectural decisions and trade-offs.
  • Lead complex, multi-team projects while managing diverse requirements from internal customers and partners.
  • Drive software engineering best practices and create tooling to support these standards across the organization.
  • Mentor junior engineers and conduct technical interviews to support team growth and recruiting efforts.

What we're looking for

  • Bachelor's degree in Computer Science or a related field, or equivalent work experience.
  • 3+ years of experience designing, building, and operating production systems at scale in the cloud.
  • Experience designing highly scalable, reliable, and maintainable services.
  • Proficiency in writing Go, Python, or other languages at production scale.
  • Understanding of Unix/Linux, SSH, and networking fundamentals.
  • Ability to lead complex projects, mentor junior engineers, and conduct technical interviews.
  • Experience with GCP, Docker, and Kubernetes is preferred.
  • Experience owning or contributing to Open-Source projects is preferred.

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