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GPU Cluster Deployment Engineer

You bring GPU clusters up from the racks through the operating system and burn-in. You check the racks and cabling, set firmware and BMC settings, install the operating system and drivers, and run burn-in until every node passes. Then you hand the cluster to the forward deployed engineers, who install the platform on top.

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Team: GPU cluster deployment, Kind: Full-time, Location: On site at client locations in the United States, with travel, Pay: $126,000 to $176,000 a year

Duties

  • Check each delivered rack against the build plan, including serial numbers, parts, cabling and power.
  • Configure BMC access, BIOS settings and firmware versions on every node.
  • Install the operating system on each node from a known image with automated provisioning.
  • Install GPU drivers, CUDA libraries and network adapter firmware to the versions set for the cluster.
  • Run burn-in on every node with GPU stress, memory and storage tests, and replace parts that fail.
  • Check the fabric from each node for link speed, errors and bandwidth between nodes.
  • Record each node's configuration and test results, and hand them over with the cluster.
  • Work with the data center technicians on repairs, and fold each fix into the provisioning scripts.

What you bring

  • 3+ years deploying servers or HPC clusters on bare metal.
  • Strong Linux administration, including installs, kernel modules and drivers.
  • Hands-on work with GPU servers and their drivers.
  • Experience with BMC tools and automated provisioning.
  • Scripting in Bash or Python.

Nice to have

  • NVIDIA HGX or DGX systems.
  • MAAS, Foreman, Warewulf or another provisioning tool.
  • InfiniBand diagnostics.
  • Ansible.

Pay and benefits

$126,000 to $176,000 a year

Full-time W-2 employment with health insurance, a retirement plan and paid leave.

No application deadline. We accept applications for this role on an ongoing basis.

Location

On site at client locations in the United States, with travel

Apply

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We review applications as each team grows and contact you when there is a match.

Rillor is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status or any other status protected by law.

If you need an accommodation to apply, email careers@rillor.com.

Notices

Trademarks. NVIDIA, AMD, Ceph, Kubernetes and related product names are trademarks of their owners and are used only to identify products. No affiliation or endorsement is implied.