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Gpu Engineer Jobs in Raleigh, NC (NOW HIRING)

Nvidia

EDA Workflow Optimization Engineer

Durham, NC · Hybrid

$107K - $127K/yr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... As an engineer in our EDA Workflow Optimization team, you will partner closely with our engineering ...

Nvidia

Senior Developer Technology Engineer - AI

Durham, NC · Hybrid

$52.75 - $69.50/hr

... Engineer, Artificial Intelligence! Would you enjoy researching parallel algorithms to accelerate AI ... In this position, you will research and develop techniques to GPU accelerate workloads in deep ...

Nvidia

Senior ASIC Power Engineer

Durham, NC

Develop innovative HW, GPU and system designs to extend the state of the art performance and efficiency * You are expected to understand the design and implementation, develop power metrics and drive ...

Teledyne FLIR LLC

Software Engineer

Durham, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Knowledge of computer architecture (GPU/FPGA/distributed computing), operating systems, networking ... S. in Computer Science, Applied Mathematics, Computer Engineering or Electrical Engineering ...

Teledyne FLIR LLC

Research Scientist

Durham, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with CUDA and GPU programming (strongly desired) * Excellent communication, writing, and interpersonal skills * U.S. Citizenship and the ability to obtain a security clearance What We ...

Teledyne

Software Engineer

Durham, NC

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Knowledge of computer architecture (GPU/FPGA/distributed computing), operating systems, networking ... S. in Computer Science, Applied Mathematics, Computer Engineering or Electrical Engineering ...

Teledyne

Research Scientist

Durham, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with CUDA and GPU programming (strongly desired) * Excellent communication, writing, and interpersonal skills * U.S. Citizenship and the ability to obtain a security clearance What We ...

Nvidia

Senior ASIC Verification Engineer

Durham, NC · Hybrid

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 ...

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 ...

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Showing results 21-40

All JobsGpu Engineer JobsGpu Engineer Jobs in Raleigh, NC

Gpu Engineer information

See Raleigh, NC salary details

$37.9K

$98.9K

$133.7K

How much do gpu engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for gpu engineer in Raleigh, NC is $98,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $113,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a GPU engineer?

To thrive as a GPU Engineer, you need strong knowledge of computer architecture, proficiency in C/C++, and experience with parallel programming models such as CUDA or OpenCL, along with a degree in computer science, electrical engineering, or a related field. Familiarity with debugging tools, driver development, performance profiling utilities, and hardware simulation platforms is typically required. Excellent problem-solving abilities, attention to detail, and effective teamwork and communication skills help distinguish top candidates. These skills ensure that GPU Engineers can develop high-performance solutions, efficiently troubleshoot hardware and software issues, and collaborate successfully in multidisciplinary environments.

What does a GPU engineer do?

A GPU Engineer designs, develops, and optimizes graphics processing units (GPUs) for applications like gaming, artificial intelligence, and high-performance computing. They work on hardware architecture, driver development, and parallel computing optimizations to maximize performance. GPU Engineers collaborate with software developers, hardware designers, and researchers to improve graphics rendering, machine learning acceleration, and computational efficiency.

What are some common challenges faced by GPU engineers, and how are they addressed?

GPU Engineers often face challenges such as optimizing code for maximum parallel efficiency, debugging complex hardware-software interactions, and keeping pace with rapidly evolving GPU architectures. Addressing these issues typically requires a combination of deep architectural understanding, use of specialized profiling and debugging tools, and ongoing collaboration with hardware, software, and QA teams. Many companies provide ongoing training and encourage knowledge sharing within engineering teams to help individuals stay current and effectively tackle new technical hurdles. Overcoming these challenges not only sharpens technical expertise but also opens doors for career growth into architect, team lead, or principal engineer roles.

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

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

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

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

Gpu Engineer jobs near you
Infographic showing various Gpu Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $98,911 per year, or $47.6 per hour.

EDA Workflow Optimization Engineer

Nvidia

Durham, NC • Hybrid

$107K - $127K/yr

Full-time

Re-posted 22 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

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.

NVIDIA reinvented itself over two decades, inventing the GPU in 1999 to reshape PC gaming and modern computer graphics. As an engineer in our EDA Workflow Optimization team, you will partner closely with our engineering teams worldwide. You will understand workflows covering the full chip design process from inception through study, architecture, design, verification, emulation, layout, packaging, power-on and production. You will then guide teams to improve, and sometimes re-invent those flows. You will enable our engineers to have the best tools on the planet to make the most innovative chips in the world. You will perform investigations to understand flaws and opportunities, construct metrics to continuously measure performance of our flows and services, and other infrastructure. You will work with your team of EDA and software experts to build new infrastructure in an agile, production software environment. You will continuously innovate and enhance scalable, reliable, high performance systems and tools to enable the next generation of chips!

What you'll be doing:

  • Work in a diverse team performing fast paced investigations to empower our engineers to develop at the speed of light.

  • Participate in the full life-cycle of tool development, test, and deployment.

  • Work closely with other team members and chip engineers to understand and optimize how workflows use the compute and storage environments.

  • Build metrics that are reliable and easy to use by hundreds of engineers around the world.

  • Continuously improve our chip development process.

  • Directly contribute to the overall quality and time to market for our next generation chips.

What we need to see:

  • Strong experience investigating and debugging complex, multi-discipline problems in a UNIX engineering environment.

  • Hands-on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on.

  • Experience with ASIC, VLSI, CAD/EDA or mixed signal design workflow environments.

  • Hands-on experience with EDA tools.

  • Experienced in UNIX Systems programming and automation using Python and/or Shell.

  • Authoritative level usage of UNIX and UNIX utilities.

  • Excellent planning and communication skills.

  • Experience in applying data analysis principles and influencing data-driven decisions.

  • Flexibility/adaptability working in a dynamic environment with changing requirements.

  • BS in Computer Science or equivalent experience; MS (preferred).

  • 5+yrs of relevant experience.

Ways to stand out from the crowd:

  • Experience with job schedulers (in particular IBM Spectrum LSF and/or SLURM).

  • Hands-on experience running GPU-based workloads in a batch computing environment and a deep understanding of distributed system principles.

  • Strong programming and debugging skills with C/C++, Python, and Perl on UNIX.

  • A passion for improving engineering productivity and efficiency via data-driven philosophy.

#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 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 April 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.

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

Year founded

1993

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