NVIDIA is seeking a motivated architect to work with a team in solving complex problems while optimizing performance, area, complexity, and power on leading-edge silicon processes. This GPU memory ...
NVIDIA is seeking a motivated architect to work with a team in solving complex problems while optimizing performance, area, complexity, and power on leading-edge silicon processes. This GPU memory ...
Our charter is to build applications and compute workloads that test and heavily stress GPU compute engines, HBM memory, cache hierarchy, PCIe/NVLinkinterfaces, power delivery, and thermal behavior ...
Our charter is to build applications and compute workloads that test and heavily stress GPU compute engines, HBM memory, cache hierarchy, PCIe/NVLinkinterfaces, power delivery, and thermal behavior ...
System Software Engineer - Data Center GPU Compute Diagnostics
Durham, NC · On-site
$167K - $198K/yr
Our charter is to build applications and compute workloads that test and heavily stress GPU compute engines, HBM memory, cache hierarchy, PCIe/NVLink interfaces, power delivery, and thermal behavior ...
System Software Engineer - Data Center GPU Compute Diagnostics
Durham, NC · On-site
$167K - $198K/yr
Our charter is to build applications and compute workloads that test and heavily stress GPU compute engines, HBM memory, cache hierarchy, PCIe/NVLink interfaces, power delivery, and thermal behavior ...
Our charter is to build applications and compute workloads that test and heavily stress GPU compute engines, HBM memory, cache hierarchy, PCIe/NVLinkinterfaces, power delivery, andthermalbehavior ...
Our charter is to build applications and compute workloads that test and heavily stress GPU compute engines, HBM memory, cache hierarchy, PCIe/NVLinkinterfaces, power delivery, andthermalbehavior ...
Senior System Software Engineer - Data Center GPU Compute Diagnostics
Durham, NC · On-site
$118K - $156K/yr
Our charter is to build applications and compute workloads that test and heavily stress GPU compute engines, HBM memory, cache hierarchy, PCIe/NVLink interfaces, power delivery, and thermal behavior ...
Senior System Software Engineer - Data Center GPU Compute Diagnostics
Durham, NC · On-site
$118K - $156K/yr
Our charter is to build applications and compute workloads that test and heavily stress GPU compute engines, HBM memory, cache hierarchy, PCIe/NVLink interfaces, power delivery, and thermal behavior ...
A broad perspective across the field of computer architecture and depth in the area of power ... Develop architecture and micro-architecture features to improve the state-of-the-art in GPU memory ...
A broad perspective across the field of computer architecture and depth in the area of power ... Develop architecture and micro-architecture features to improve the state-of-the-art in GPU memory ...
Develop innovative HW, GPU and system designs to extend the state of the art performance and efficiency * You are expected to understand the design and implementation, develop power metrics and drive ...
Develop innovative HW, GPU and system designs to extend the state of the art performance and efficiency * You are expected to understand the design and implementation, develop power metrics and drive ...
Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our GPU ASIC team and help build the real-time, cost ...
Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our GPU ASIC team and help build the real-time, cost ...
... CPU, GPU, ASIC, and SOC. * * Work with customer and field application team to provide total power solution. * Develop application reference circuits and system level power management * Write ...
... CPU, GPU, ASIC, and SOC. * * Work with customer and field application team to provide total power solution. * Develop application reference circuits and system level power management * Write ...
The Industrial Power Systems team is seeking a motivated, experienced applications engineer to ... The ideal candidate will support development and validation of TLVR for CPU/GPU applications, as ...
The Industrial Power Systems team is seeking a motivated, experienced applications engineer to ... The ideal candidate will support development and validation of TLVR for CPU/GPU applications, as ...
The Industrial Power Systems team is seeking a motivated, experienced applications engineer to ... The ideal candidate will support development and validation of TLVR for CPU/GPU applications, as ...
The Industrial Power Systems team is seeking a motivated, experienced applications engineer to ... The ideal candidate will support development and validation of TLVR for CPU/GPU applications, as ...
Sr. Applications Engineer
Durham, NC · On-site
... GPU, ASIC, and SOC. * Work with customer and field application team to provide total power solution. * Develop application reference circuits and system level power management * Write datasheets ...
Sr. Applications Engineer
Durham, NC · On-site
... GPU, ASIC, and SOC. * Work with customer and field application team to provide total power solution. * Develop application reference circuits and system level power management * Write datasheets ...
US_East | Infrastructure Engineer_L3
Knightdale, NC · On-site
$90/hr
... power, and area goals • Develop HW architecture from specification documents. • Take complete ... GPU - pipelines, control, Memories hierarchies, interconnects, caches, CPU, GPU (coherency ...
US_East | Infrastructure Engineer_L3
Knightdale, NC · On-site
$90/hr
... power, and area goals • Develop HW architecture from specification documents. • Take complete ... GPU - pipelines, control, Memories hierarchies, interconnects, caches, CPU, GPU (coherency ...
... powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We build ...
... powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We build ...
... power the next. What will make this intelligent industrial revolution possible? A new computing model - GPU deep learning - that enables computers to learn from data and write software that is too ...
New
... power the next. What will make this intelligent industrial revolution possible? A new computing model - GPU deep learning - that enables computers to learn from data and write software that is too ...
New
... powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We build ...
... powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We build ...
Intelligent machines powered by AI computers that can learn, reason, and interact with people are no longer science fiction. Image recognition and speech recognition - GPU deep learning has provided ...
Intelligent machines powered by AI computers that can learn, reason, and interact with people are no longer science fiction. Image recognition and speech recognition - GPU deep learning has provided ...
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... Drive physical design and timing of high-frequency and low-power NVIDIA CPUs, GPUs, LPUs and SoCs ...
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... Drive physical design and timing of high-frequency and low-power NVIDIA CPUs, GPUs, LPUs and SoCs ...
The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our ... Our work opens up new universes to explore, enables amazing creativity and discovery, and powers ...
The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our ... Our work opens up new universes to explore, enables amazing creativity and discovery, and powers ...
Senior AI FinOps Data Analyst
Raleigh, NC · On-site +1
$88K - $141K/yr
... power AI agents, predict cloud economics, and steer the enterprise's hybrid cloud strategy. What you will do: * AI & GPU Infrastructure Modeling: Track, evaluate, and forecast cross-environment ...
Senior AI FinOps Data Analyst
Raleigh, NC · On-site +1
$88K - $141K/yr
... power AI agents, predict cloud economics, and steer the enterprise's hybrid cloud strategy. What you will do: * AI & GPU Infrastructure Modeling: Track, evaluate, and forecast cross-environment ...
Power Gpu information
See Raleigh, NC salary details
$13.09 - $16
12% of jobs
$17.61 is the 25th percentile. Wages below this are outliers.
$16 - $18.91
24% of jobs
The median wage is $20.69 / hr.
$18.91 - $21.82
23% of jobs
$21.82 - $24.73
13% of jobs
$26.08 is the 75th percentile. Wages above this are outliers.
$24.73 - $27.64
7% of jobs
$27.64 - $30.55
7% of jobs
$30.55 - $33.46
8% of jobs
$33.46 - $36.37
2% of jobs
$36.37 - $39.28
1% of jobs
$39.28 - $42.19
1% of jobs
$42.19 - $45.10
1% of jobs
$13
$23
$45
How much do power gpu jobs pay per hour?
As of Jul 25, 2026, the average hourly pay for power gpu in Raleigh, NC is $23.82, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $27.60 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)?
| Aspect | Power Gpu | Graphics Processing Unit (GPU) |
|---|---|---|
| Primary Function | Specialized high-performance computing for AI, deep learning, and data centers | Rendering graphics and visual data for gaming, design, and multimedia |
| Required Credentials | Advanced certifications in AI, hardware engineering, or data center management | Basic to advanced knowledge of graphics architecture, often with related certifications |
| Work Environment | Data centers, AI research labs, enterprise environments | Design studios, gaming companies, multimedia production |
| Industry Usage | AI, machine learning, data processing industries | Gaming, 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.
What job categories do people searching Power Gpu jobs in Raleigh, NC look for? The top searched job categories for Power Gpu jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Power Gpu jobs? Cities near Raleigh, NC with the most Power Gpu job openings:
Nvidia rating
9.6
Based on 17 frontline employees who took The Breakroom Quiz
5th of 217 rated software companies
Job description
We are now looking for a Senior GPU Memory Architect.
NVIDIA is seeking a motivated architect to work with a team in solving complex problems while optimizing performance, area, complexity, and power on leading-edge silicon processes. This GPU memory architecture team creates new, innovative products tailored to NVIDIA's world-changing solutions for autonomous vehicles, AI, gaming, mobile systems.
What you will be doing:
Developing architecture and micro-architecture to improve the state-of-the-art in GPU memory system and memory management optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.
Participating in performance simulation of features to improve memory access efficiency.
Implementing and maintaining high-level functional and performance models.
Analyzing benchmarks, application workloads and performance simulation results to identify areas for microarchitecture optimizations.
Defining and performing experiments to study the machine in action, presenting experiment results to the larger group and proposing mechanisms for improvement.
Creating architectural specifications and customer-facing documents. Working with partners in the industry to generate specifications which take into account software interfaces to the GPU.
Debugging performance and functional issues with high-level models, RTL simulation, and silicon.
What we need to see:
Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field. A PhD with a focus in computer architecture is a plus.
6+ years of meaningful work experience in GPU or CPU Architecture and development specifically in the area of memory caching and interconnects.
Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, distributed team. Your history of successfully mentoring junior engineers and interns is a huge plus.
Ways to stand out from the crowd:
Experience with hardware memory management unit, prefetching, or memory subsystems.
Practical experience with multi-core systems and memory coherency.
Do you desire to be a part of a team of talented engineers developing ground-breaking GPU architectures from specification through implementation to extend the state of the art in GPU performance and functionality? Are you motivated to solve complex problems while optimizing performance, area, complexity, and power? If so, our GPU memory architecture group is looking for you. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented market opportunities, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for computer architecture and technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
About Nvidia
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1993