Member of Technical Staff, GPU Infrastructure

Deploy and operate GPU Kubernetes clusters across clouds, and bring up new hardware generations and providers.

Work with cloud providers and hardware partners on reliability, performance, and cost, including RDMA and high-speed interconnects.

Automate node, GPU, and fabric fault detection and remediation so most faults are fixed without a human.

Improve fleet utilization, track cost, and cut the time it takes to get a faulty node back into service.

Troubleshoot production failures and performance problems, and leave the system easier to operate than you found it.

We hire at more than one level. We set level based on the scope you've owned and how independently you drive work.