Staff ML Infra Engineer — Remote/Hybrid

General Motors; Washington; On-site; USD 172,000 - 335,000; Full time

Benefits offered by this job

Relocation benefits

Company vehicle program

Job summary

General Motors is seeking a Staff ML Infra Engineer to lead scalable ML training and evaluation platforms for autonomous driving initiatives. You will own end-to-end systems, drive architectural choices, and collaborate across teams to accelerate model development.

The role emphasizes robust APIs, cloud infrastructure, and high-performance training pipelines, with exposure to CUDA-friendly accelerators, large datasets, and production-grade tooling. Remote or hybrid work options available.

Qualifications

• 5+ years in distributed systems, ML platforms, or large-scale software
• Experience building robust APIs with durable interfaces
• Experience with ML lifecycle and MLOps practices
• Proficiency in Python or C++ and cloud infrastructure

Responsibilities

• Lead design and deployment of scalable ML training/evaluation platforms
• Own end-to-end technical projects with architectural decisions
• Drive cross-team collaboration to maximize systems impact
• Shape team through technical interviews and recruiting
• Mentor and onboard junior engineers and interns

Skills

Distributed systems

API design

ML algorithms

Cloud infrastructure

MLOps

Collaboration

Python/C++

Autonomous driving

CS/Math degree

Education

BS/MS/PhD in CS/Math

Tools

Docker

Kubernetes

PyTorch

TensorFlow

Bazel

CMake

Job description

General Motors is seeking a Staff ML Infra Engineer to lead scalable ML training and evaluation platforms for autonomous driving initiatives. You will own end-to-end systems, drive architectural choices, and collaborate across teams to accelerate model development.

The role emphasizes robust APIs, cloud infrastructure, and high-performance training pipelines, with exposure to CUDA-friendly accelerators, large datasets, and production-grade tooling. Remote or hybrid work options available.