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Power Gpu Jobs (NOW HIRING)

$65 - $90/hr

Power, thermal, and cooling issues * Failures, GPU detection issues, and PCIe errors * Hardware faults such as shorts, damaged PCBs, or marginal components * Support failure analysis and root-cause ...

Build tooling to correlate GPU cluster power draw and utilisation with real-time energy pricing and grid signals * Optimise multi-GPU and multi-node scaling using NCCL, MPI, or similar communication ...

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Power Gpu information

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$46

How much do power gpu jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for power gpu in the United States is $24.51, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $28.37 per hour, depending on experience, location, and employer.

What is a Power GPU?

Power GPU is a company that specializes in building custom gaming and workstation PCs tailored to individual needs and preferences. They help customers choose the right components for optimal performance, assemble the systems, and provide support after the purchase. Their team has expertise in balancing performance, aesthetics, and budget, making them a popular choice among gamers, content creators, and professionals seeking high-performance computers.

What are the key skills and qualifications needed to thrive as a Power GPU technician?

To excel as a Power GPU Technician, you need strong knowledge of computer hardware assembly, troubleshooting, and maintenance, typically backed by experience or relevant certifications such as CompTIA A+. Familiarity with diagnostic tools, GPU benchmarking software, and system monitoring utilities is essential. Attention to detail, problem-solving skills, and effective communication help you deliver high-quality builds and support to clients. These skills ensure reliable system performance, customer satisfaction, and the ability to resolve complex technical issues efficiently.

What are some common challenges faced by Power GPU engineers when optimizing performance in modern hardware?

GPU Power Engineers often contend with balancing high computational performance and stringent power consumption targets, especially as hardware becomes more complex. They must analyze power usage at both the architectural and circuit levels, implement power-saving features, and ensure thermal constraints are met without sacrificing speed. Collaboration with cross-functional teams, such as hardware designers and software developers, is key to identifying and addressing power bottlenecks. Staying current with evolving technologies and industry standards is also essential for success in this dynamic role.

What is the difference between Power Gpu vs Graphics Processing Unit (GPU)?

AspectPower GpuGraphics Processing Unit (GPU)
Primary FunctionSpecialized high-performance computing for AI, deep learning, and data centersRendering graphics and visual data for gaming, design, and multimedia
Required CredentialsAdvanced certifications in AI, hardware engineering, or data center managementBasic to advanced knowledge of graphics architecture, often with related certifications
Work EnvironmentData centers, AI research labs, enterprise environmentsDesign studios, gaming companies, multimedia production
Industry UsageAI, machine learning, data processing industriesGaming, entertainment, digital content creation

Power Gpu and Graphics Processing Units (GPU) are related but serve different purposes. Power Gpu focuses on high-performance computing for AI and data centers, while GPUs are primarily used for rendering graphics in gaming and multimedia. Understanding these differences helps professionals choose the right role based on their skills and industry needs.

What cities are hiring for Power Gpu jobs?

Cities with the most Power Gpu job openings:

What states have the most Power Gpu jobs?

States with the most job openings for Power Gpu jobs include:

Infographic showing various Power Gpu job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 2% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $50,977 per year, or $24.5 per hour.

$65 - $90/hr

Other

Posted 5 days ago


Key responsibilities

  • Install, rework, and maintain PCBs, including soldering discrete hardware components for AI servers, GPU platforms, and related infrastructure

  • Perform bring-up, debugging, and troubleshooting of server hardware components, PCBs, GPUs, and interconnects

  • Support hardware modifications such as cable routing, installation of GPUs, NICs, memory, storage, and accelerators, and conduct signal measurements


Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

26th of 161 rated electronics manufacturers


Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology has the power to solve the world's most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.

Whether you're redesigning next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger— technology that moves the world forward. Join us and, together, we'll advance your career.

THE ROLE

We have a brand new opportunity due to growth for an Electronics Engineering Technician skilled in electronics, PCBs and discrete components for GPU-based compute platforms. You will work with oscilloscopes, lab electronic test equipment, power supplies, digital multimeters, digital analyzers, impedance analyzers, and server hardware including removal, repair and replacement soldering of discrete components and more. In this role, you will support Engineering teams in hardware, systems, and infrastructure in enabling reliable, high-performance AI compute at scale.

This opportunity is an onsite role, based in our new engineering lab in Austin, TX supporting state of the art AI Data Center Systems (Servers & GPUs).

THE PERSON

You bring successful previous hands-on experience and skills working with hardware, PCBs and discrete components, work experience in lab or data center ESD environments and the ability to troubleshoot complex server electronics, discrete components, circuits and GPU issues under tight schedules.

You are highly motivated and have an ability to work independently while supporting fast-paced engineering teams. You are also known for your strong attention to detail and documentation discipline.

Your excellent written and verbal communication and interpersonal skills have helped you build a track record of working collaboratively and efficiently with engineers, technicians, and operations staff at all levels. And most importantly, you have a consistently safety-focused mindset when working around high power and cooling systems.

KEY RESPONSIBILITIES
  • Install and maintain PCBs including rework and replacement soldering of discrete hardware components, circuit testing and more for AI servers, GPU platforms, and related infrastructure
  • Perform bring-up and debug of server hardware components, PCBs, GPUs, and interconnects
  • Execute hardware modifications, including:
    • Cable routing and management (power, networking, high-speed interconnects)
    • Installation of GPUs, NICs, memory, storage, and accelerators
    • Test point installation, probing, and signal measurements
  • Diagnose and troubleshoot:
    • Power, thermal, and cooling issues
    • Failures, GPU detection issues, and PCIe errors
    • Hardware faults such as shorts, damaged PCBs, or marginal components
  • Support failure analysis and root-cause investigations
  • Coordinate with cross-functional teams (hardware, systems, facilities, IT, safety)
  • Maintain accurate documentation of configurations, changes, and test results
  • Support lab and data center operations, including rack builds, rework, and audits
PREFERRED QUALIFICATIONS
  • Hands-on experience with server hardware and PCBs including removal, repair and replacement soldering of discrete components for data center systems and GPU or accelerator-based platforms
  • Strong understanding of power delivery, cooling, air flow in high-density systems, and, PCIe and high-speed interconnects
  • Hands on work experience using lab tools such as DMMs, oscilloscopes, logic analyzers
  • Comfortable working in ESD-controlled lab and data center environments
  • Ability to lift and rack servers (with assistance as required)
  • Experience with:
    • Liquid-cooled or hybrid-cooled server systems
    • High-power GPU racks (multi-kW per rack)
  • Knowledge and experience in fundamentals of electronics, circuitry
  • Prior work in hyperscale data centers, engineering labs, or NPI environments; Experience supporting AI platforms in the semiconductor industry
  • Experience reading and understanding schematics, BOMs, and hardware debug documentation
ACADEMIC CREDENTIALS
  • Associate degree or trade education certification in Electronics, Computer Engineering or related field
  • Electronics theory and design coursework
  • Related certifications are highly desirable

This role is not eligible for visa sponsorship.

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.

This posting is for an existing vacancy.

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