GPU Bare-Metal & DPU Engineer for Scalable Compute

Bitdeer

San Jose (CA)

On-site

USD 150,000 - 210,000

Full time

11 days ago
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Job summary

Bitdeer Technologies Group is expanding its team to own the end-to-end lifecycle of bare-metal GPU nodes—from provisioning and delivery through break-fix, firmware/DPU management, and decommissioning—across multiple regions, to drive throughput, fleet availability, and ROI of our largest capital investment.

You will build automated pipelines to deliver GPUs, manage DPU/SmartNIC and server firmware, reduce MTTR, participate in a 7×24 on-call rotation, and collaborate with Storage, Image, and

Qualifications

  • ,

Responsibilities

  • Own the full lifecycle of bare-metal GPU nodes: provisioning, delivery / onboarding, in-service operation, break-fix, and decommissioning across multiple regions.
  • Build and operate automated, repeatable node-delivery pipelines to eliminate the current delivery backlog and keep pace with fleet growth toward 10,000+ GPUs.
  • Manage DPU / SmartNIC and server firmware (BMC / BIOS / NIC / GPU firmware): version baselines, upgrades, and validation.
  • Drive fleet reliability: reduce MTTR, lead incident response and root-cause analysis, and improve hardware-health monitoring.
  • Participate in a sustainable 7×24 multi-region on-call rotation; build runbooks and tooling that reduce manual toil.
  • Partner with Storage / Image and Network teams to streamline the provisioning-to-handoff path.
  • Define bring-up, rack, capacity, and acceptance standards for new GPU SKUs and data-center regions.

Skills

Linux systems
PXE/IPMI/Redfish
Automation scripting
On-call management

Tools

Ansible
Terraform
Python
Go

Job description

Bitdeer Technologies Group is expanding its team to own the end-to-end lifecycle of bare-metal GPU nodes—from provisioning and delivery through break-fix, firmware/DPU management, and decommissioning—across multiple regions, to drive throughput, fleet availability, and ROI of our largest capital investment.

You will build automated pipelines to deliver GPUs, manage DPU/SmartNIC and server firmware, reduce MTTR, participate in a 7×24 on-call rotation, and collaborate with Storage, Image, and

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