Senior ML Infrastructure Engineer - Embodied AI

General Manufacturing(1 day ago)

RemoteFull TimeSenior$153,200 - $234,100Engineering

About this role

GM's Embodied AI team is developing machine learning solutions to support safe autonomous vehicle behavior in real-world scenarios. The role involves building infrastructure to accelerate machine learning development and deployment, contributing to the advancement of autonomous driving technology.

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Required Skills

Python
C++
Kubernetes
Docker
ML Systems
Distributed Systems
Cloud Infrastructure
Model Deployment
MLOps
Deep Learning

Qualifications

BS in Computer Science or Mathematics
MS in Computer Science or Mathematics
PhD in Computer Science or Mathematics

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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