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Engineering Technician, Datacenter Performance

NVIDIA· Technician
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Santa Clara, CA$60k - $101.2kFull-timePosted 4d ago

About the role

Senior Validation Engineer in the DGX Server Product Engineering Team focused on developing and implementing automated test plans for GPU-accelerated computing products, while deploying and maintaining datacenter hardware infrastructure.

Responsibilities

  • Deploy, operate, and maintain GPU and compute infrastructure in a hardware lab, partnering with hardware, firmware, software, and engineering teams.
  • Coordinate rack shipments, receiving, placement, and installation, including power, cooling, and network connections.
  • Troubleshoot system issues across hardware, firmware, and software; drive root-cause investigation and coordinate corrective actions with the responsible engineering teams.
  • Service systems, including replacing components, cables, and compute trays.
  • Manage system and rack enrollment, configuration, and removal through cluster management and provisioning software such as NVIDIA Base Command Manager (BCM) or NVIDIA Infra Controller (NICo).
  • Perform firmware and software updates, verify system configurations, and run system diagnostics and system health checks before releasing hardware to engineering teams.
  • Develop scripts and automation to simplify routine maintenance, diagnostics, configuration checks, and inventory tracking.
  • Maintain accurate hardware inventory, IP address reservations, and connectivity records; document procedures and share knowledge with team members.

Qualifications

  • - Ability to work on site in a hardware lab environment 5 days a week.
  • - Associate degree in electronics, computer technology, or a related field, or equivalent hands-on experience.
  • - 5+ years of experience operating in a technician capacity.
  • - Hands-on experience operating, servicing, and troubleshooting server or datacenter infrastructure, including GPU-based systems.
  • - Ability to investigate hardware, firmware, and software failures, collect diagnostic evidence, and work with engineering teams to resolve issues.
  • - Familiarity with x86 and Arm server architectures, GPU hardware, and common server components.
  • - Comfort using Linux command-line tools for system diagnostics, firmware updates, and configuration management.
  • - Experience with hardware provisioning and cluster management tools.
  • - Working knowledge of scripting or automation tools used to reduce repetitive tasks and improve operational consistency.
  • - Familiarity with rack power, cooling, network cabling, IP addressing, and safe hardware handling.
  • - Strong organizational skills and attention to detail in maintaining inventory, configuration records, and technical documentation.

Skills

Required:On-site hardware lab operationServer and datacenter hardware servicingLinux command-lineScripting/AutomationCluster provisioning toolsInventory and documentation

Benefits

  • equity
  • benefits (per employer)
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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