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Power Gpu Jobs (NOW HIRING)

Apple

GPU Power Efficiency Engineer

Austin, TX · On-site

As a member of the Silicon Technologies GPU team, you will work across functions including Architecture, Power, Performance, Silicon Validation, Thermals and Technology. The job involves analyzing ...

Apple

GPU Power Efficiency Engineer

Austin, TX

As a member of the Silicon Technologies GPU team, you will work across functions including Architecture, Power, Performance, Silicon Validation, Thermals and Technology. The job involves analyzing ...

Intel

GPU Power Architect

Folsom, CA

$122K - $232K/yr

The Role and Impact As a GPU Power Architect, you will play a pivotal role in shaping the future of graphics and computing technology. At Intel, our GPUs power everything from ultralow power devices ...

Intel Corporation

GPU Power Architect

Folsom, CA · On-site

$122K - $232K/yr

The Role and Impact As a GPU Power Architect, you will play a pivotal role in shaping the future of graphics and computing technology. At Intel, our GPUs power everything from ultralow power devices ...

Nvidia

Datacenter GPU Power Architect

Austin, TX · On-site

We are looking for a Datacenter GPU Power Architect! What you'll be doing: * You will be contributing to power estimation models and tools for GPU products and systems like NVIDIA DGX/HGX based ...

Qualcomm

GPU Power Analysis Engineer

San Diego, CA · On-site

$87K - $116K/yr

You will be contributing to performance/power efficiency analysis and modelling at GPU level and system level for the Graphics/AI workloads such as benchmark/games by exploiting different SW/HW ...

Nvidia

Senior Datacenter GPU Power Architect

Austin, TX · On-site

$66.75 - $89.25/hr

We are looking for a Senior Datacenter GPU Power Architect. NVIDIA is known as a world leader in providing energy-efficient high-performance products and we continue to invest in the research and ...

Qualcomm

GPU Power Systems Engineer

San Diego, CA · On-site

$161K - $242K/yr

GPU power modeling and estimation for projection and correlation * GPU workload analysis, profiling, and characterizations * Develop and maintain tests for pre-silicon and post-silicon power ...

Nvidia

Senior Datacenter GPU Power Architect

Santa Clara, CA · On-site

$79 - $105.75/hr

We are looking for a Senior Datacenter GPU Power Architect. NVIDIA is known as a world leader in providing energy-efficient high-performance products and we continue to invest in the research and ...

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All JobsPower Gpu Jobs

Power Gpu information

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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.
Design Verification Engineer (GPU)

Design Verification Engineer (GPU)

Xoriant Corporation

San Jose, CA

$159K - $194K/yr

Other

Posted 9 days ago

Job description

Job Title: "Design Verification Engineer (GPU)"

Location: San Jose, CA (Onsite, 5 days a week)

Duration: Long Term

Description

As a GPU Design Verification Engineer, your talents will ensure the quality at the heart of our GPU architecture. Creativity is a necessity to overcome the challenges inherent to verifying the proper operation of our low-power GPU. Versatility and broad knowledge of state-of-the-art verification techniques including the most up-to-date IEEE UVM version will place you among the elite within our profession.

Role and Responsibilities: Key responsibilities include

  • Work with architects and designers to build verification environments and test plans
  • Craft functional verification coverage strategy to ensure complete test suite implementation
  • Develop assertions and checks to optimize isolation time and produce meaningful failing signatures
  • Analyze failing tests to root cause along, working with RTL and reference modeling teams
  • Provide input on Architectural and Micro-Architectural specifications for testability and accuracy
  • Examine code coverage results, identifying exclusions and improving stimulus
  • Take ownership of key milestone closure by meeting phase gate pass rates, coverage quality, and other quality metrics

Skills and Qualifications: Minimum requirements:

  • BS in Computer Engineering, BSEE or comparable and 5+ years of industry experience in a design verification role
  • Proficient in System Verilog/UVM/OVM, and OOP/C++
  • Deep understanding of constrained randomization and the development of efficient test suites
  • Experience with code coverage and functional coverage-driven verification methodology.
  • Experience in creating, running and debugging of SystemVerilog/UVM constraint-random testbench.
  • Working knowledge of scripting languages such as Python or Perl
  • Understanding of micro-architecture, logic design, FSMs, arithmetic datapath pipelines

Preferred qualifications:

  • MS CE/EE with 5+ years of industry experience in verification
  • Good verbal and written communication skills
  • Experience of GPU or CPU is a plus

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