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Gpu Repair Jobs (NOW HIRING)

VOLT

Debug Repair Technicians

Memphis, TN · On-site

$25 - $28/hr

As an Debug Repair Technician you will: * Perform advanced board-level troubleshooting and ... GPU, FPGA, ASIC, memory, and power subsystems Diagnose high speed digital, power distribution, and ...

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How much do gpu repair jobs pay per hour?

As of Jul 22, 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.

Are GPU repairs worth IT?

GPU repair technicians diagnose and fix issues with graphics cards, often involving troubleshooting hardware components and soldering skills. The job can be worthwhile for those with technical expertise, as demand exists for repairing or refurbishing GPUs, especially in gaming and professional markets. However, the complexity of modern GPUs and the cost of repairs can impact the profitability and feasibility of repair jobs.

What job designs GPUS?

A GPU repair technician or engineer is responsible for designing, diagnosing, and repairing graphics processing units. They often work with hardware schematics, diagnostic tools, and may need knowledge of electronics, soldering, and computer architecture. Certification in electronics or computer hardware can be beneficial for this role.

How much does IT usually cost to repair a GPU?

For GPU repair technicians, the cost to repair a GPU typically ranges from $100 to $300, depending on the extent of damage and parts needed. Common repairs include fixing overheating issues, replacing damaged components, or reballing the GPU, often requiring specialized tools and diagnostic skills.

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.

What jobs in the US pay 300,000 a year?

In the US, high-paying roles related to GPU repair or computer hardware often include senior hardware engineers, IT directors, or specialized technical consultants, typically requiring advanced skills, certifications, and experience. These positions may reach or exceed $300,000 annually, especially in management or consulting roles within technology companies. However, most GPU repair technicians or similar technical roles tend to have lower salaries unless combined with managerial responsibilities or specialized expertise.
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Gpu Repair jobs near you
Infographic showing various Gpu Repair job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 61% Full Time, 1% Part Time, 1% Contract, and 36% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $44,528 per year, or $21.4 per hour.

Software Engineer, Compute (GPU)

Fluidstack

San Francisco, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Fluidstack is focused on building civilization-scale infrastructure for AI, aiming to deliver compute faster than anyone else. The Software Engineer, Compute (GPU) will own the health of the compute fleet, build automation for deployment and repair, and ensure the reliability and scalability of the GPU fleet.
Responsibilities:
• Own compute fleet health end to end. Build the metrics pipelines, alerting, and unified health view that tell you the true state of every GPU in production — across Kubernetes-orchestrated workloads and bare metal, at scale.
• Turn deployment/repair into a pipeline, not a procedure. Build and own the automation that takes a compute failure from detection through triage, parts management, and return to service. No one-off scripts, no heroics.
• Design and expand the GPU qualification platform. Burn-in, performance baselining, and NPI execution for every new GPU generation. You define what "good" looks like before hardware goes into production.
• Own Redfish and BMC tooling. Firmware-level telemetry, log collection at fleet scale, and the low-level access layer that repair automation and health tooling depend on.
• Own end-to-end reliability, scalability, and operation of the compute fleet at-scale. Fluidstack is building one of the largest GPU fleets in the world and that can only be accomplished with aggressive automation, tooling, and incident discipline.
Qualifications:
Required:
• You treat toil as a bug. Manual steps in a repair workflow are a backlog item, not a job description.
• You have an instinct for hardware. You're comfortable reasoning about failure modes at the firmware and silicon level, not just the software stack above it.
• You move toward ambiguity, not away from it. You walk into the fog, build the map, and explain it to everyone else.
• You learn at a steep slope. You reach real competence in an unfamiliar domain fast. We value this over existing expertise.
• You carry a pager without flinching. You run the incident, write the postmortem, fix the systemic cause, and move on.
• You're fluent with AI tooling. LLM APIs, MCP servers, and agentic frameworks, and you drive Claude Code, Cursor, or similar every day.
• You've shipped production automation that other teams depend on, and you're comfortable in any language using AI coding tools.
Preferred:
• Hardware lifecycle management and RMA automation.
• BMC/Redfish or IPMI tooling.
• GPU qualification or burn-in frameworks.
• Workflow and orchestration engines (Temporal, Cadence).
• Metrics and alerting pipelines (Prometheus, Grafana).
• Go or Python.
Company:
Fluidstack accelerates the world’s most ambitious AI projects by removing the bottlenecks to compute. Founded in 2017, the company is headquartered in London, GBR, with a team of 51-200 employees. The company is currently Growth Stage.

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