Senior ML Infrastructure Engineer (Compute)

General Manufacturing(1 month ago)

HybridFull TimeSenior$125,326 - $167,199 (estimated)Machine Learning Infrastructure

About this role

Senior ML Infrastructure engineer on GM’s AI Validation Platform responsible for building and scaling a cloud-agnostic compute platform that powers autonomous vehicle simulation and ML model validation. The role focuses on improving GPU utilization, scalability, reliability, and influencing the architecture and roadmap for AI validation services. It supports cross-functional teams developing state-of-the-art ML models for AV applications.

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Required Skills

Go
Distributed Systems
Cloud Platforms
Compute Architecture
Auto Scaling
Observability
Monitoring
GPU Optimization
HPC
System Design

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About General Manufacturing

gm.com

General Motors is a global automotive company and the parent of Chevrolet, Buick, GMC and Cadillac, designing, engineering and manufacturing a full range of cars, trucks and SUVs. Beyond vehicles, GM provides connected and mobility services—such as OnStar and GM Energy—and invests in vehicle safety, autonomous driving and other advanced engineering. The company is pursuing electrification and sustainability through initiatives like its Journey to Zero Emissions while supporting communities and workforce development. For more than a century GM emphasizes quality, reliability and delivering a vehicle for every drive.

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