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GPU Server Hardware Validation Engineer

pragmatike · Zhuhai

New
Hybrid 🇬🇧 English
Linux BIOS/UEFI BMC/IPMI GPU firmware CUDA NCCL PCIe Cooling Storage Networking Bash Python

Job description

About the role

Our client, a European deep‑tech company, is expanding its manufacturing and testing capability in Hong Kong. They need a hands‑on engineer to own quality control of GPU/HPC servers across factory floors and test labs.

Key responsibilities

  • Own quality control across the client’s manufacturing sites on the factory floor.
  • Run the hardware test lab: board and system bring‑up, validation and stress testing of new server builds.
  • Oversee assembly and end‑to‑end testing of GPU servers before deployment into the sovereign cloud.
  • Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems.
  • Diagnose hardware, firmware and driver‑level issues and drive root‑cause analysis with design and manufacturing teams.
  • Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools.
  • Document failures, yields and test results and feed findings back into hardware design and production processes.
  • Coordinate day‑to‑day with manufacturing partners and local suppliers in both English and Mandarin.

Required profile

  • Proven hands‑on experience testing and validating GPU/HPC servers (bring‑up, burn‑in, validation).
  • Strong Linux skills at the system and hardware level.
  • Fluent English and fluent Mandarin (both non‑negotiable).
  • Willingness to work on‑site in Hong Kong on the factory floor and in the lab.

Required skills

  • Linux system and hardware debugging.
  • Firmware handling (BIOS/UEFI, BMC/IPMI, GPU and NIC firmware flashing).
  • NVIDIA GPU stack: drivers, CUDA, NCCL benchmarking.
  • Server hardware knowledge: PCIe topology, power, cooling, storage and networking.
  • Scripting in Bash or Python for test automation.

What we offer

  • Real ownership from day one in a fast‑paced, autonomous environment.
  • Opportunity to build a sovereign, energy‑efficient AI cloud platform from the ground up.

Questions fréquentes

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Source : ats:ashby

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Published 2 hours ago

Expires 1 month from now

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pragmatike

Zhuhai