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Cuda Gpu Jobs in Raleigh, NC (NOW HIRING)

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

Collaborate with teams across NVIDIA including the GPU architecture, NVVM/PTX compiler, CUDA library, and DL frameworks teams to ensure fast, functional, and timely kernel delivery to customers. What ...

DevOps Engineer

Cary, NC

$49.25 - $67.50/hr

Knowledge CUDA enabled systems and GPU scheduling * Technology Savvy- Leveraging one's practical knowledge and understanding of recent technology tools, solutions, and trends to improve work results ...

DevOps Engineer

Cary, NC · On-site

$49.25 - $67.50/hr

Knowledge CUDA enabled systems and GPU scheduling * Technology Savvy- Leveraging one's practical knowledge and understanding of recent technology tools, solutions, and trends to improve work results ...

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Cuda Gpu information

See Raleigh, NC salary details

$108.4K

$200.2K

How much do cuda gpu jobs pay per year?

As of Aug 7, 2026, the average yearly pay for cuda gpu in Raleigh, NC is $194,912.00, according to ZipRecruiter salary data. Most workers in this role earn between $199,300.00 and $199,300.00 per year, depending on experience, location, and employer.

What is the difference between Cuda Gpu vs Data Scientist?

AspectCuda GpuData Scientist
Required CredentialsKnowledge of GPU programming, CUDA toolkit, C/C++Statistics, programming (Python, R), data analysis
Work EnvironmentTech companies, research labs, hardware developmentBusiness, tech, finance, healthcare sectors
Industry UsageHigh-performance computing, AI, machine learningData analysis, predictive modeling, data visualization

While Cuda Gpu specialists focus on GPU programming and hardware optimization, Data Scientists analyze data to extract insights. Both roles require technical skills but serve different purposes within technology and data-driven industries.

What are popular job titles related to Cuda Gpu jobs in Raleigh, NC? For Cuda Gpu jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Cuda Gpu jobs? Cities near Raleigh, NC with the most Cuda Gpu job openings:
Infographic showing various Cuda Gpu job openings in Raleigh, NC as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $194,912 per year, or $93.7 per hour.

GPU Architecture Engineer - New College Grad 2026

Nvidia

Durham, NC

$135K - $167K/yr

Full-time

Posted 17 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

Today, NVIDIA is 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, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement. In this position, you'll be responsible for developing and enhancing various features in the GPU architecture.

What you will be doing:

  • Contribute to advancing GPU Architecture Simulators, GPU testing infrastructure and metrics.

  • Understand and model in C++ and python, features for future GPU graphics and parallel processing architectures.

  • Develop test plans and testing infrastructure.

  • Debug tests on architecture simulators.

  • Develop tools to validate performance models and verify functional models.

What we need to see:

  • Pursuing or recently completed an MS or PhD (or equivalent experience) in CS, EE, math or related discipline.

  • Strong programming ability in C, C++, and Python.

  • Deep knowledge of computer architecture and parallel programming.

Ways to stand out from the crowd:

  • Experience in machine learning/deep learning and/or graphics algorithms, and/or signal processing.

  • Prior architecture experience.

  • Programming in CUDA and/or DX and Vulkan.

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. If you're creative and autonomous, 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 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 25, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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


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