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Gpu Programming Jobs in Raleigh, NC (NOW HIRING)

OptiTrack

Machine Learning & Operations Engineer

Durham, NC · Remote

$71.10K - $96.20K/yr

Optimize GPU/compute utilization across cloud and on-prem environments. * Deploy, monitor, and ... More typical DevOps responsibilities for software development as required. Requirements Required ...

OptiTrack

Machine Learning & Operations Engineer

Durham, NC · Remote

$67.20K - $90.80K/yr

Optimize GPU/compute utilization across cloud and on-prem environments. * Deploy, monitor, and ... More typical DevOps responsibilities for software development as required. Requirements Required ...

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 ...

Redhat

Senior Software Engineer, AI Inference

Raleigh, NC · On-site +1

$133.65K - $220.68K/yr

As leading developers and maintainers of the vLLM project, and inventors of state-of-the-art ... Manage and scale multi-cloud GPU infrastructure using Terraform and Ansible, including both bare ...

Nvidia

Senior VLSI CAD Software Engineer

Durham, NC

$118.40K - $156.10K/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 ...

Nvidia

Senior Software Engineer, Agentic AI

Durham, NC

$118.40K - $156.10K/yr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... Solid understanding of asynchronous programming, callbacks, request lifecycles, and event-driven ...

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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 May 31, 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.
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Gpu Programming jobs near you
Infographic showing various Gpu Programming job openings in Raleigh, NC as of May 2026, with employment types broken down into 1% Internship, 96% Full Time, 1% Part Time, 1% Temporary, and 1% Nights. Highlights an 34% Physical, 2% Hybrid, and 64% Remote job distribution, with an average salary of $63,160 per year, or $30.4 per hour.
Senior ASIC Verification Engineer

Senior ASIC Verification Engineer

Nvidia Corporation

Durham, NC • On-site

Full-time

Posted 18 days ago

Job description

NVIDIA is seeking an outstanding Senior ASIC Verification Engineer to verify the design and implementation of the world's leading SoC's and GPU's. This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.
What you'll be doing:
  • As a Senior Verification Engineer at NVIDIA, you will be responsible for verifying the design, architecture and micro-architecture using advanced verification methodologies
  • Define the verification scope, and contribute to the development of the verification infrastructure for memory subsystem units
  • Collaborate with architects, designers, software engineers across sites to accomplish your goals

What we need to see:
  • You have a Bachelors or Masters Degree in Electrical Engineering or Computer Science or Computer Engineering or equivalent experience
  • 5+ years of relevant work or research experience
  • Strong history of working on verification methodology, creating reusable verification components
  • Knowledgeable in verification using random stimulus along with functional coverage and assertion-based verification methodologies
  • Fluency in Object Oriented Programming with C++ and/or SystemVerilog
  • Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB), and methodologies (UVM or equivalent)
  • Your work displays a passion for debugging and strong problem solving skills
  • Strong communication skills are required

Ways to stand out from the crowd:
  • Prior verification experience related to high speed IO protocols, or memory coherence is a big plus

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous? 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-effective computing platform driving our success in this exciting and quickly growing field.
#LI-Hybrid
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 January 13, 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

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