Member of Technical Staff - GPU Infrastructure Engineer

Remote Remote · San Francisco

kubernetesgo research & engineeringfulltime

ashby

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Job description

You will ensure the reliability of GPU clusters that support AI research and training. Your work will focus on improving resource efficiency and building automation tools.

Details

San Francisco, remote
Competitive salary with equity
Strong software engineering experience required
Experience with distributed systems, Linux, networking, and storage

The work

Own the reliability and operation of GPU clusters
Debug issues across compute, storage, networking, and distributed workloads
Improve resource utilization through tooling and automation
Onboard and migrate workloads across GPU providers and hardware platforms