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Gpu Repair Jobs (NOW HIRING)

The role focuses on the developing and implementing advanced diagnostic, observability, automation and repair tooling for high-performance GPU compute clusters. The ideal new team member will be a ...

The role Nebius operates large-scale, GPU-dense AI infrastructure across mission-critical data ... You will lead on-site rack bring-up, validate NVIDIA-based AI systems, coordinate repairs, and ...

The role focuses on the developing and implementing advanced diagnostic, observability, automation and repair tooling for high-performance GPU compute clusters. The ideal new team member will be a ...

The role focuses on the developing and implementing advanced diagnostic, observability, automation and repair tooling for high-performance GPU compute clusters. The ideal new team member will be a ...

Technician

Mason City, IA · On-site

$20 - $25/hr

You will work hands-on with ASIC and GPU mining equipment, perform routine maintenance and basic repairs, and help keep operations running smoothly and efficiently across several locations.

OR · On-site

$122K - $161K/yr

... scale GPU clusters across NVIDIA Cloud Partners (NCP) and on-prem environments. * Develop tools and services for provisioning, validation, upgrades, monitoring, repair, and cluster lifecycle ...

OR · On-site

$122K - $161K/yr

... scale GPU clusters across NVIDIA Cloud Partners (NCP) and on-prem environments. * Develop tools and services for provisioning, validation, upgrades, monitoring, repair, and cluster lifecycle ...

From large-scale GPU orchestration to inference optimization, we own the hard problems across ... You will lead on-site rack bring-up, validate NVIDIA-based AI systems, coordinate repairs, and ...

OR

$122K - $161K/yr

... scale GPU clusters across NVIDIA Cloud Partners (NCP) and on-prem environments. * Develop tools and services for provisioning, validation, upgrades, monitoring, repair, and cluster lifecycle ...

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Gpu Repair information

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$12

$21

$32

How much do gpu repair jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for gpu repair in the United States is $21.41, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $24.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a GPU Repair Technician, and why are they important?

To thrive as a GPU Repair Technician, you need a strong knowledge of computer hardware, electronics troubleshooting, and experience with soldering and component-level repair, often supported by relevant technical certifications or training. Familiarity with diagnostic tools, multimeters, oscilloscopes, and GPU testing software is typically required. Attention to detail, problem-solving skills, and effective communication help technicians accurately diagnose issues and explain solutions to clients. These skills ensure reliable GPU repairs, minimize downtime, and maintain customer trust in high-performance computing environments.

What are GPU repair services?

GPU repair services involve diagnosing and fixing issues with graphics processing units (GPUs) used in computers and gaming systems. Common problems include overheating, faulty memory chips, broken fans, or damaged solder joints. Technicians may clean the GPU, replace faulty components, or reflow/reball solder connections to restore functionality. Proper diagnostics are essential to determine whether repair or full replacement is more cost-effective. Reliable GPU repair can extend the device's lifespan and save money compared to purchasing a new graphics card.

What are some common challenges faced in GPU repair, and how can they be addressed?

Technicians working in GPU repair often encounter challenges such as diagnosing subtle hardware faults, dealing with delicate soldering work, and sourcing replacement components for discontinued models. Addressing these issues requires strong troubleshooting skills, familiarity with GPU architecture, and access to specialized tools like hot air rework stations and microscopes. Collaboration with other repair technicians and staying updated on manufacturer guidelines are also essential for successful repairs and ongoing professional development.

What is the difference between Gpu Repair vs Gpu Technician?

AspectGpu RepairGpu Technician
CertificationsHardware repair certifications, e.g., CompTIA A+Same as Gpu Repair, often includes electronics or hardware certifications
Work EnvironmentRepair shops, electronics labs, or service centersElectronics labs, repair shops, or manufacturing facilities
Job FocusDiagnosing and fixing GPU hardware issuesDiagnosing, repairing, and maintaining GPUs and related components
Industry UsageCommon in electronics repair industryUsed in electronics manufacturing and repair sectors

Gpu Repair and Gpu Technician roles overlap significantly, focusing on diagnosing and fixing GPU hardware issues. Gpu Technicians often have broader responsibilities, including maintenance and testing, but both require similar certifications and work environments. The main difference lies in scope: Gpu Repair is more specialized in hardware fixes, while Gpu Technicians may handle a wider range of electronic components.

More about Gpu Repair jobs
What cities are hiring for Gpu Repair jobs? Cities with the most Gpu Repair job openings:
What states have the most Gpu Repair jobs? States with the most job openings for Gpu Repair jobs include:
Infographic showing various Gpu Repair job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 19% Full Time, 61% Part Time, 3% Temporary, 10% Contract, and 5% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $44,528 per year, or $21.4 per hour.

AI Data Center Technician II - Highrise.ai

Hut 8

Newport, WA • On-site

Full-time

Posted 24 days ago


Job description

Job Summary:
Hut 8 is a leading company focused on building and operating large data centers for next-generation computing workloads. The role of Data Center Technician II involves maintaining GPU clusters and high-speed networking infrastructure, ensuring optimal uptime and performance for AI technologies.
Responsibilities:
• Perform advanced diagnostics, repair, and maintenance on NVIDIA H100, H200, and B300 GPUs and multi-node GPU clusters
• Monitor cluster health and respond quickly to hardware failures to maximize uptime
• Execute firmware flashing and BIOS-level configuration on GPU nodes
• Deploy, maintain, and troubleshoot high-speed InfiniBand and Ethernet fabric (QSFP & OSFP)
• Apply working knowledge of InfiniBand topology across multi-rack GPU cluster environments
• Support IP addressing, subnetting, and network diagnostics
• Work in Linux environments for system monitoring, diagnostics, and hardware management
• Use data analysis to identify failure patterns and drive proactive maintenance
• Assist with firmware updates, driver management, and hardware configuration
• Maintain a clean, safe, and organized data center environment
• Perform general facility duties and contribute to broader infrastructure projects as directed
• Lead projects at the discretion of your supervisor or operations manager
Qualifications:
Required:
• High school diploma or equivalent required; technical certifications a plus
• 1–3+ years of experience in IT/computer hardware, AI GPU maintenance, systems/electrical engineering, or network administration
• Hands-on experience with NVIDIA GPU hardware (H100, H200, or similar) strongly preferred
• Familiarity with InfiniBand networking and high-speed fabric topology
• Comfortable working in Linux environments
• Solid understanding of IP addressing, subnetting, and basic networking concepts
• Strong problem-solver with a diligent, team-first attitude and the flexibility to adapt in a fast-moving environment
• Ability to be on your feet 7+ hours per day and lift/carry 30–50 lbs
• Must pass a motor vehicle background check
Company:
Hut 8 is an energy infrastructure platform integrating power, digital infrastructure, and compute at scale to fuel next-generation, energy-intensive use cases. Founded in 2017, the company is headquartered in Toronto, CAN, with a team of 201-500 employees. The company is currently Growth Stage.