ZipRecruiter

Log In

1

Gpu Programming Jobs in Raleigh, NC (NOW HIRING)

Nvidia

Senior ASIC Timing Engineer

Durham, NC · Hybrid

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... We are now looking for a motivated ASIC Timing Engineer to join our dynamic and growing team. If ...

Nvidia

Senior VLSI CAD Software Engineer

Durham, NC · On-site

$118K - $156K/yr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... NVIDIA is seeking a talented Software Engineer to join our small team building custom, high-impact ...

NetApp

Principal Product Manager

Morrisville, NC

Excellent written and verbal communication skills for customers, executives, and engineers. Preferred * Direct experience with Microsoft Azure AI services, GPU estates on Azure, and/or Azure ...

Nvidia

Senior System Simulation Architect

Durham, NC · On-site

... GPU) workloads - with special focus on the CPU subsystem. * Integrate functional models from ... Support CPU architects and performance engineers in their use of functional models, performance ...

next page

Showing results 1-20

All JobsGpu Programming JobsGpu Programming Jobs in Raleigh, NC

Gpu Programming information

See Raleigh, NC salary details

$32.1K

$63.2K

$92.8K

How much do gpu programming jobs pay per year?

As of Jul 13, 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 a GPU Programming job?

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 are the key skills and qualifications needed to thrive in the Gpu Programming position, 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 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 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 July 2026, with employment types broken down into 81% Full Time, 7% Part Time, 1% Temporary, 2% Contract, and 9% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $63,160 per year, or $30.4 per hour.
Senior C++ Software Engineer - Chip Design Tools

Senior C++ Software Engineer - Chip Design Tools

Nvidia

Durham, NC • On-site

Full-time

Posted 6 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled 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. NVIDIA is a "learning machine" that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life's work, to amplify human creativity and intelligence. Make the choice to join us today!

Our team is responsible for development and support of infrastructure tools used by design engineers for build and verification of architectural, rtl, and gate level designs. As a software engineer, you will craft highly efficient software to automate and facilitate chip design and verification processes.

What You'll be Doing:

  • Work as a team to build reliable, scalable and high performance software that are easy to use by hundreds of engineers worldwide.

  • Develop software tools in C++/Golang to analyze and construct chip designs described in C++, Verilog or domain-specific languages (DSLs).

  • Research and develop software solutions to allow greater efficiency in architecture, hardware and software teams.

  • Optimize the daily workflows of the world's top chip modelers and designers.

What We Need to See:

  • BS (or equivalent experience) and 5+ years of software development experience., MS (or PHD) preferred.

  • Experienced with C++ or Golang, Unix/Linux.

  • Solid understanding of algorithms, computer architecture and computer science theory

  • Experienced with VLSI frontend design and verification

  • Flexibility/adaptability for working in a global and dynamic environment with different frameworks and requirements

Ways to stand out from the crowd:

  • Good architecture and RTL design knowledge

  • Strong expertise in modern C++, compiler, build systems, and database.

  • Experienced with static and dynamic code analysis tools

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 11, 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

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

View All Nvidia Jobs

Apply