Staff AI/ML Engineer - DevTools for AV & Cloud

General Motors Company; Jackson (TN); Hybrid; USD 180,000 - 284,000; Full time

Benefits offered by this job

Hybrid work arrangement

Relocation assistance

Job summary

The AI Cloud and Developer Productivity team at General Motors is seeking a Staff Engineer with a deep background in building and operating cloud-scale production systems. You will lead the AV developer tools effort, shaping roadmaps, evaluating new tools, and delivering measurable improvements in productivity and reliability.

This role emphasizes mentoring, architectural influence, and balancing rapid impact with sound engineering discipline.

Qualifications

• 5+ years 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 scalable, reliable, and maintainable services.
• Production-scale coding in Go, Python, or similar languages.
• Strong Unix/Linux knowledge, SSH, and networking fundamentals.
• Proven ability to lead, mentor, and influence others.

Responsibilities

• Identify engineering pain points and design reliable, scalable, and maintainable solutions.
• Influence the team's technical roadmap and evaluate new tools via PoCs.
• Ship improvements to AV development toolchains to boost productivity and metrics.
• Drive engineering best practices and mentor engineers on the team.
• Balance delivering impact with addressing technical debt and boundaries.

Skills

Go

Python

Distributed systems

Leadership

Mentoring

DevOps

Unix/Linux

Networking basics

Communication

Prioritization

Education

Bachelors in Computer Science or related field

Tools

Docker

Kubernetes

GCP

Open-Source contributions

Job description

The AI Cloud and Developer Productivity team at General Motors is seeking a Staff Engineer with a deep background in building and operating cloud-scale production systems. You will lead the AV developer tools effort, shaping roadmaps, evaluating new tools, and delivering measurable improvements in productivity and reliability.

This role emphasizes mentoring, architectural influence, and balancing rapid impact with sound engineering discipline.