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GPU Cluster Infrastructure Engineer at FAR.AI - ApplyBlast

GPU Cluster Infrastructure Engineer

FAR.AI

1 month ago

3.5 on Glassdoor

Remote

Full Time

Senior

6 applicants

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About this role

This role involves operating and maintaining the Kubernetes GPU fleet, including node lifecycle, batch scheduling, and storage systems, to support large-scale AI research experiments. The engineer will work directly with researchers to ensure fault-tolerant multi-node training runs and harden the platform's security posture. The position requires deep expertise in infrastructure engineering, particularly in GPU workloads, distributed systems, and automation.

Responsibilities

Operate the Kubernetes GPU fleet day to day
Own batch scheduling and multi-tenancy across research teams
Design and run the storage under the fleet

Skills

About FAR.AI

far.ai

Headquarters

Berkeley, California, United States

Company Size

11-50 employees

Founded

2022

View Profile

FAR.AI is a research and education non-profit dedicated to ensuring that advanced artificial intelligence is safe and beneficial for everyone. The organization focuses on facilitating technical breakthroughs, promoting global collaboration, and providing resources to researchers and organizations working on critical AI safety challenges. Through its research initiatives, events, and programs, FAR.AI aims to foster a thriving ecosystem that drives impactful, lasting change in the field of trustworthy AI.