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Gpu Programming Jobs in Raleigh, NC (NOW HIRING)

Nvidia

Senior Solution Engineer, Compute Systems

Durham, NC · On-site

$53.50 - $68.75/hr

You must be technically strong in Linux, have solid programming skills, and experience with multi-GPU platforms. Expertise analyzing performance of distributed GPU-accelerated workloads is a plus. AI ...

Nvidia

Senior Solution Engineer, Compute Systems

Durham, NC

$53.50 - $68.75/hr

You must be technically strong in Linux, have solid programming skills, and experience with multi-GPU platforms. Expertise analyzing performance of distributed GPU-accelerated workloads is a plus. AI ...

Nvidia

Senior Software Engineer, CUTLASS Platform

Durham, NC · On-site

$118K - $156K/yr

Collaborate with GPU architecture, CUDA, and NVVM/PTX compiler teams to provide feedback on programming models and to assess the performance of future GPU hardware features. What we need to see:

Nvidia

Senior Software Engineer, CUTLASS Platform

Durham, NC · On-site

$118K - $156K/yr

Collaborate with GPU architecture, CUDA, and NVVM/PTX compiler teams to provide feedback on programming models and to assess the performance of future GPU hardware features. What we need to see:

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Gpu Programming information

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$63.2K

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How much do gpu programming jobs pay per year?

As of Sep 15, 2026, the average yearly pay for gpu programming in Raleigh, NC is $63,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,100.00 and $77,800.00 per year, depending on experience, location, and employer.

What is GPU programming?

A GPU Programming job involves writing and optimizing code to run on Graphics Processing Units (GPUs) for parallel computing tasks. This role is commonly found in fields like machine learning, scientific computing, gaming, and data analytics. GPU programmers use languages such as CUDA, OpenCL, or Vulkan to accelerate computations and improve performance. They work closely with software engineers and data scientists to optimize algorithms for high-performance applications.

What types of projects or applications do GPU programmers commonly work on?

GPU Programmers are often involved in developing or optimizing software for high-performance applications such as machine learning, scientific simulations, real-time rendering in gaming and visualization, and video/image processing tools. Their daily work may include collaborating with software engineers, data scientists, and hardware teams to create efficient, scalable parallel algorithms that leverage GPU capabilities. The role frequently requires problem-solving to maximize computational efficiency and troubleshooting complex performance bottlenecks. By working across multidisciplinary teams, GPU Programmers help deliver robust solutions for data-intensive problems in areas like healthcare, finance, automotive technology, and entertainment.

What are the key skills and qualifications needed to thrive in GPU programming, and why are they important?

To excel in GPU Programming, you need a strong background in parallel computing concepts, mathematics, and proficiency in languages such as CUDA, OpenCL, or DirectX/OpenGL, often supported by a degree in computer science, engineering, or a related field. Familiarity with NVIDIA and AMD GPU development tools, performance profilers, and possibly certifications like NVIDIA's Deep Learning Institute courses are valuable. Teamwork, effective communication, and strong problem-solving abilities are essential soft skills in this field. These competencies enable efficient development, optimization, and integration of high-performance GPU code in real-world applications.

What are the most commonly searched types of Gpu Programming jobs in Raleigh, NC?

The most popular types of Gpu Programming jobs in Raleigh, NC are:

What are popular job titles related to Gpu Programming jobs in Raleigh, NC?

For Gpu Programming jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Gpu Programming jobs in Raleigh, NC look for?

The top searched job categories for Gpu Programming jobs in Raleigh, NC are:

Gpu Programming jobs near you
Infographic showing various Gpu Programming job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $63,160 per year, or $30.4 per hour.

Senior Design Verification Engineer - GPU Memory Subsystem

Durham, NC • On-site

Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidia Corporationexternal

$100K - $135K/yr

Full-time

Re-posted 28 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We're looking for a talented, motivated Senior Design Verification Engineer to join our GPU memory subsystem team in Durham, NC. Looking to join a dynamic team solving complex verification challenges involving caches, coherency, pipelines, and arbitration? This pre-silicon position is perfect for you!
What you'll be doing:
  • Actively collaborate with RTL, DV, FV, and Arch teams to then develop and implement design verification strategies for our GPU ASIC memory subsystem IP.
  • Perform functional and performance verification using advanced tools and methodologies. Bring your innovative ideas to the table.
  • Gain a deep understanding of this critical IP's micro-architectural design and implementation while continuing to advance your verification skills.

What we need to see:
  • BS Degree in CompE, EE, CS, or equivalent experience
  • 5+ years of experience covering the full scope of pre-silicon ASIC verification, including the development of verification strategy, test plans, tests, testbench components, regression triage, debug, and coverage closure and experience with industry standard tools
  • Working knowledge of computer architecture fundamentals and their constructs in Verilog/System Verilog

Ways to stand out from the crowd:
  • Strong analytical thought process and outstanding debug skills.
  • Experience with caches, coherency, complex pipelines, arbiters, or interconnect networks
  • Infrastructure development, use of AI to support design and verification development
  • Testbench development experience, especially with UVM components used in multiple levels of verification
  • Strong programming/scripting experience in Python or C++. Applying suitable algorithms, data structures, and error handling

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 24, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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