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Software / AI Infrastructure Engineer - GPU Clusters

Doghouse Recruitment • United States
Remote
This Job is No Longer Active This position is no longer accepting applications

Design and develop backend services and automation tooling in Python. Build and maintain provisioning, testing, and lifecycle management systems for physical hardware. Work with cutting-edge NVIDIA hardware.

Key Highlights
Build automation and lifecycle systems for GPU-cluster fleet
Design and develop backend services and automation tooling in Python
Work with cutting-edge NVIDIA hardware
Key Responsibilities
Design and develop backend services and automation tooling in Python
Build and maintain provisioning, testing, and lifecycle management systems for physical hardware
Work across networking layers and interface with hardware management controllers and their protocols
Technical Skills Required
Python Linux Shell scripting
Benefits & Perks
Salary up to 250K USD
Remote work within the US/Canada
Nice to Have
Experience at large infrastructure scale
ARM platforms in production
Hardware testing and factory provisioning

Job Description

Software / AI Infrastructure Engineer – GPU Clusters - Up To Principal – Remote

This position is open to candidates working remotely in the United States or Canada.

Our client is a cloud technology company driving the next generation of AI infrastructure. They empower organizations to build and scale AI and ML solutions without the need for large in-house teams or heavy upfront infrastructure costs. Their global team of engineers works at the forefront of GPU cloud computing, supporting businesses across industries to solve complex, real-world problems.

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