Senior ML Infra Engineer: Autonomous Driving Foundations

General Motors; Sunnyvale (CA); Hybrid; USD 129,000 - 261,000; Full time

Benefits offered by this job

medical

dental

vision

Health Savings Account

Flexible Spending Accounts

retirement savings plan

life insurance

paid vacation & holidays

tuition assistance programs

GM vehicle discounts

Job summary

General Motors is seeking a Senior ML Infra Engineer to accelerate the machine learning development cycle for autonomous driving. You will design and deploy scalable platforms powering model training and evaluation, collaborating with multi-team partners to optimize performance and reliability.

Your role includes end-to-end project ownership, architectural trade-offs, and mentoring junior engineers. This remote-friendly position offers potential relocation within California and a chance to

Qualifications

• 3+ years of experience building large-scale distributed systems or advanced ML applications.
• Proven track record of building robust APIs.
• Deep understanding of machine learning algorithms.
• Experience with cloud infrastructure and cost-efficient systems.
• Hands-on experience with the ML development lifecycle and MLOps.

Responsibilities

• Lead the design, implementation, and deployment of scalable platforms and tools for ML model training and evaluation across GM.
• Own complex technical projects end-to-end, making architectural decisions and trade-offs.
• Mentor and onboard junior engineers and interns, helping them grow their careers.

Skills

Distributed systems

APIs

ML algorithms

Cloud infrastructure

MLOps

Collaboration

Python

C++

Education

BS, MS, or PhD in Computer Science, Math, or equivalent

Tools

Docker

Kubernetes

Job description

General Motors is seeking a Senior ML Infra Engineer to accelerate the machine learning development cycle for autonomous driving. You will design and deploy scalable platforms powering model training and evaluation, collaborating with multi-team partners to optimize performance and reliability.

Your role includes end-to-end project ownership, architectural trade-offs, and mentoring junior engineers. This remote-friendly position offers potential relocation within California and a chance to