ZipRecruiter

Log In

1

Gpu Performance Engineer Jobs in Raleigh, NC (NOW HIRING)

Nvidia

Senior GPU Memory Architect

Durham, NC · On-site

Participating in performance simulation of features to improve memory access efficiency ... Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer ...

Nvidia

Senior GPU Architect

Durham, NC

$125.10K - $170.10K/yr

... graphics performance, parallel programming models or parallel computing performance. You would ... GPU or CPU architecture (or other equivalent experience). * Strong programming ability inC, C ...

Qualcomm

Senior AI Performance Architect

Raleigh, NC · On-site

$162.30K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Today, more ... Analysis of current accelerator and GPU architectures * Architect enhancements required for ...

Data Direct Networks

Senior/Staff AI Engineer

Raleigh, NC · On-site

$150K - $250K/yr

Improve performance across GPU and CPU pathways * Work on KV cache, memory, storage, and throughput ... Solve engineering problems at the intersection of AI, high-performance systems, and distributed ...

Nvidia

Senior GPU Memory Architect

Durham, NC · On-site

... programmable GPUs and the CUDA language and is a world leader in high-performance computing ... Develop architecture and micro-architecture features to improve the state-of-the-art in GPU memory ...

Nvidia

Senior GPU Memory Architect

Durham, NC

... programmable GPUs and the CUDA language and is a world leader in high-performance computing ... Develop architecture and micro-architecture features to improve the state-of-the-art in GPU memory ...

SAS

DevOps Engineer

Cary, NC · On-site

$49.25 - $67.50/hr

Maintain GPU-based infrastructure including optimizing GPU utilization for large-scale deep ... Work closely with data scientists to resolve performance bottlenecks and infrastructure issues.

SAS

DevOps Engineer

Cary, NC · On-site

$49.25 - $67.50/hr

Maintain GPU-based infrastructure including optimizing GPU utilization for largescale deep learning ... Work closely with data scientists to resolve performance bottlenecks and infrastructure issues.

next page

Showing results 1-20

People also search for

All JobsGpu Performance Engineer JobsGpu Performance Engineer Jobs in Raleigh, NC

Gpu Performance Engineer information

See Raleigh, NC salary details

$10

$58

$95

How much do gpu performance engineer jobs pay per hour?

As of May 31, 2026, the average hourly pay for gpu performance engineer in Raleigh, NC is $58.43, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.11 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a GPU Performance Engineer, and why are they important?

To thrive as a GPU Performance Engineer, you need a strong background in computer architecture, programming (C/C++), and a degree in computer science, electrical engineering, or a related field. Proficiency with GPU profiling tools (e.g., NVIDIA Nsight, AMD Radeon GPU Profiler), performance analysis frameworks, and parallel computing libraries like CUDA or OpenCL is typically required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with developers and debugging performance bottlenecks. These skills and qualities are essential for optimizing GPU performance, ensuring efficient software-hardware interaction, and delivering high-quality graphics or compute solutions.

What are some common challenges faced by GPU Performance Engineers when optimizing graphics workloads?

GPU Performance Engineers often encounter challenges such as identifying performance bottlenecks within complex graphics pipelines, balancing resource utilization, and achieving optimal frame rates across diverse hardware configurations. They must use specialized profiling tools and collaborate closely with developers, driver engineers, and QA teams to address issues like memory bandwidth limitations or shader inefficiencies. Staying updated with rapidly evolving GPU architectures and optimizing for both current and next-generation hardware are also key aspects of the role.

What is a GPU Performance Engineer?

A GPU Performance Engineer is a specialist who analyzes, optimizes, and improves the performance of graphics processing units (GPUs). They work on identifying bottlenecks, optimizing code, and ensuring that GPU hardware and software deliver maximum efficiency and speed. Their role may involve working with drivers, firmware, and applications to enhance graphics and compute workloads. This job is essential in industries like gaming, AI, and high-performance computing where GPU efficiency directly impacts user experience and system performance.

What is the difference between Gpu Performance Engineer vs Gpu Hardware Engineer?

AspectGpu Performance EngineerGpu Hardware Engineer
Primary FocusOptimizing GPU performance, benchmarking, and tuning softwareDesigning, developing, and testing GPU hardware components
Required SkillsProgramming, performance analysis, GPU architecture knowledgeHardware design, circuit analysis, FPGA/ASIC experience
Work EnvironmentSoftware development teams, labs for testing performanceHardware labs, manufacturing facilities, R&D centers
Common CertificationsNone specific, often requires computer engineering or related degreesElectrical engineering, VLSI design certifications

The Gpu Performance Engineer primarily focuses on optimizing and testing GPU software performance, while the Gpu Hardware Engineer designs and develops the physical GPU components. Both roles require a strong background in computer engineering, but differ in their core responsibilities and work environments.

What are popular job titles related to Gpu Performance Engineer jobs in Raleigh, NC? For Gpu Performance Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Gpu Performance Engineer jobs in Raleigh, NC look for? The top searched job categories for Gpu Performance Engineer jobs in Raleigh, NC are:
Gpu Performance Engineer jobs near you
Senior GPU Memory Architect

Senior GPU Memory Architect

Nvidia

Durham, NC • On-site

Full-time

Posted yesterday

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.

Applications for this job will be accepted at least until May 26, 2026.

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.
Nvidia logo

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

View All Nvidia Jobs

Apply