GPU Data Center Technician — Project-Based, Hands-On Ops

Introl

Arlington (VA)

On-site

USD 27,552 - 48,216

Part time

14 days+

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Benefits offered by this job

Medical, dental, and vision coverage
401(k) plan
Paid sick time

Job summary

A technology services company is seeking experienced Data Center Technicians to support GPU infrastructure projects. This hourly role involves deploying and maintaining GPU clusters, performing diagnostics, and ensuring data center operations. Candidates must have 2+ years in data center environments, technical skills with server hardware, and the ability to work in fast-paced settings. Competitive hourly rates and benefits are offered, with potential for continued project work based on performance.

Qualifications

  • 2+ years of experience in data center operations or hardware deployment.
  • Strong knowledge of server hardware, networking equipment, and data center infrastructure.
  • Experience with GPU systems and high-performance computing preferred.

Responsibilities

  • Deploy, configure, and maintain large-scale GPU clusters.
  • Monitor and maintain data center infrastructure including power and cooling systems.
  • Diagnose and resolve hardware and network connectivity issues.

Skills

Data center operations experience
Server hardware knowledge
Networking equipment proficiency
GPU systems experience
Fiber optic installations
Problem-solving skills
Communication abilities

Education

2+ years of experience
CompTIA Server+ certification

Tools

Fiber optic tools
Network troubleshooting tools

Job description

A technology services company is seeking experienced Data Center Technicians to support GPU infrastructure projects. This hourly role involves deploying and maintaining GPU clusters, performing diagnostics, and ensuring data center operations. Candidates must have 2+ years in data center environments, technical skills with server hardware, and the ability to work in fast-paced settings. Competitive hourly rates and benefits are offered, with potential for continued project work based on performance.
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