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ML Infrastructure Engineer

Sunnyvale, California, United States of America💼 Full-time💰 $119,220–$119,220🗓 2026-01-28 → 2026-07-31

Core

Building critical backend services and platform infrastructure to scale performance, reliability, and usability for the GM ML ecosystem.

Role type

Senior IC ML Infrastructure Engineer

Builds

Core platform backend software components, distributed systems, and GPU/TPU optimized infrastructure for the ML ecosystem.

Domain

Automotive industry + Cloud infrastructure & Machine Learning platforms

Deliverable

production ML models | infrastructure

Required skills

Go, C++, Python, distributed systems, cloud platforms (GCP, Azure, AWS)

Preferred skills

ML platforms, GPU/TPU optimizations, Ray framework, Kubernetes at Scale

Technologies

GCP, Azure, AWS, Ray, Kubernetes

Responsibilities

Design core platform backend software components, analyze and improve efficiency/scalability/stability of system resources, drive large initiatives across the GM ML ecosystem.

Seniority

Senior, hands-on IC

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