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Power Gpu Jobs (NOW HIRING)

Nvidia

OR · On-site

$122K - $161K/yr

We are hiring a full-time Software Engineer to work on the CUDA Core Libraries that power GPU computing for both C++ and Python developers. This includes projects such asCCCL (Thrust, CUB, libcudacxx ...

Nvidia

OR

$122K - $161K/yr

Drive end-to-end GPU power management features from idea to productization including chip bring up. * Drive and resolve complex technical issues independently across multiple teams and technical ...

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Power Gpu information

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$13

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$46

How much do power gpu jobs pay per hour?

As of Jun 8, 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 and what do they do?

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, and why are they important?

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 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 are some common challenges faced by GPU Power 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.
Infographic showing various Power Gpu job openings in the United States as of May 2026, with employment types broken down into 5% As Needed, 14% Full Time, 77% Part Time, and 4% 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.
Engineering Technician - AI Data Center Systems (Servers & GPUs)

Engineering Technician - AI Data Center Systems (Servers & GPUs)

Advanced Micro Devices, Inc

Austin, TX • On-site

$39K/yr

Part-time

Posted 24 days ago

Advanced Micro Devices rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

24th of 139 rated electronics manufacturers

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE
We have a brand new opportunity due to growth for an Engineering Technician - AI Data Center Systems (Servers & GPUs) to support the bring-up, debug, and sustainment of AI data center servers and GPU-based compute platforms. This role works closely with hardware, systems, and infrastructure engineering teams to enable reliable, high-performance AI compute at scale. This role offers the opportunity to work on cutting-edge AI and GPU compute systems, including exposure to next-generation data center technologies in a collaborative engineering culture. This opportunity is an on-site, Lab-based role in our Austin Texas Engineering Lab.
THE PERSON
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.
You bring successful previous experience including hands-on hardware skills, work experience in lab or data center environments and the ability to troubleshoot complex server and GPU issues under tight schedules.
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, configure, and maintain AI servers, GPU platforms, and related infrastructure
  • Perform system bring-up, debug, and validation of server hardware, 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
    • Server boot 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 or data center systems
    • GPU or accelerator-based platforms
  • Strong understanding of:
    • Power delivery, cooling, and airflow in high-density systems
    • PCIe, networking, and high-speed interconnects
  • 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 supporting AI platforms in the semiconductor industry
  • Familiarity with Linux-based systems and basic command-line diagnostics
  • Experience with:
    • Liquid-cooled or hybrid-cooled server systems
    • High-power GPU racks (multi-kW per rack)
  • Prior work in hyperscale data centers, engineering labs, or NPI environments
  • Ability to read schematics, BOMs, and hardware debug documentation

ACADEMIC CREDENTIALS
  • Associate degree or trade education certification in Electronics, Computer Engineering or related field, or an equivalent combination of education and experience
  • Related certifications are highly desirable

This role is not eligible for visa sponsorship.
#LI-MP2
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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