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Nvidia Research Jobs in Raleigh, NC (NOW HIRING)

Nvidia

Senior GPU Architect, Deep Learning

Durham, NC

The NVIDIA GPU Architecture group is looking for world class architects and software developers to ... You would interact with other world-class architects and researchers to build simulators, mapping ...

Nvidia

Senior ASIC Verification Engineer

Durham, NC · Hybrid

NVIDIA is seeking an outstanding Senior ASIC Verification Engineer to verify the design and ... research experience * Strong history of working on verification methodology, creating reusable ...

Nvidia

Senior Solution Engineer, Networking

Durham, NC

$53.50 - $68.75/hr

Work with R&D teams to develop bug fixes, workarounds, and solutions for critical customers using NVIDIA's network technologies * Become an authority in NVIDIA network technologies used in AI ...

Nvidia

Senior ASIC Verification Engineer

Durham, NC · On-site

NVIDIA is seeking outstanding ASIC Verification Engineer to verify the world's leading GPUs. This ... or research experience * Exposure to Computer Architecture, ASIC design and verification ...

Qualcomm

Senior AI Performance Architect

Raleigh, NC · On-site

$162K/yr

Understand trends in ML network design through customer engagements and latest academic research ... In-depth knowledge of nVidia/AMD GPU capabilities and architectures * Knowledge of LLM ...

Sas

Data Scientist (Emerging Careers)

Cary, NC · On-site

$100 - $140/hr

You will research and develop high-quality demos to illustrate the application of computer vision ... Experience in deployment using Nvidia CUDA Toolkit * Experience with containers and Kubernetes

SAS

Data Scientist (Emerging Careers)

Cary, NC · Hybrid

You will research and develop high-quality demos to illustrate the application of computer vision ... Experience in deployment using Nvidia CUDA Toolkit * Experience with containers and Kubernetes

SAS

Data Scientist (Emerging Careers)

Cary, NC · On-site

You will research and develop high-quality demos to illustrate the application of computer vision ... Experience in deployment using Nvidia CUDA Toolkit * Experience with containers and Kubernetes

LangChain, Inc

Deployed Engineer (Raleigh)

Raleigh, NC · On-site

$150K - $250K/yr

... com, Nvidia, and Bridgewater. About the Team The Deployed Engineering team works directly with ... You'll work on some of the hardest problems in applied AI - not demos, not research, but systems ...

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How much do nvidia research jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for nvidia research in Raleigh, NC is $38.07, according to ZipRecruiter salary data. Most workers in this role earn between $20.45 and $51.81 per hour, depending on experience, location, and employer.

What is an Nvidia Research?

An Nvidia Research job involves conducting cutting-edge research in areas like artificial intelligence, computer graphics, and high-performance computing. Researchers work on innovative projects that push the boundaries of technology, often collaborating with academia and industry partners. These roles typically require expertise in machine learning, deep learning, hardware acceleration, or related fields. Team members publish papers, develop prototypes, and contribute to Nvidia's long-term technological advancements.

What are the key skills and qualifications needed to thrive in Nvidia Research?

Excelling in Nvidia Research typically requires a PhD or advanced degree in computer science, electrical engineering, or a related field, with strong expertise in machine learning, computer vision, and deep learning algorithms. Familiarity with programming languages such as Python and C++, and experience using frameworks like TensorFlow or PyTorch, as well as CUDA for GPU computing, are also important. Excellent problem-solving abilities, creativity, and effective collaboration and communication skills help set candidates apart. These skills are crucial for conducting innovative research, collaborating with multidisciplinary teams, and advancing the field of AI and graphics technology.

What opportunities for career growth and advancement are available within Nvidia Research?

Nvidia Research offers a dynamic environment where researchers can grow by taking on increasingly complex projects, publishing groundbreaking work, and collaborating with world-class experts. Many team members advance to senior and principal researcher roles or transition into leadership positions overseeing multi-disciplinary research initiatives. Nvidia also encourages continuous learning through conferences, workshops, and internal seminars, which further support professional development. As the company continues to expand its research footprint, there are ample opportunities to shape new areas of innovation and make a lasting impact on both the organization and the industry.

What are the most commonly searched types of Nvidia Research jobs in Raleigh, NC?

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Nvidia Research jobs near you
Infographic showing various Nvidia Research job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $79,193 per year, or $38.1 per hour.

Senior GPU Architect, Deep Learning

Nvidia

Durham, NC

Full-time

Re-posted 12 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

We are now looking for a Senior GPU & Deep Learning Architect!

The NVIDIA GPU Architecture group is looking for world class architects and software developers to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for deep learning and parallel processing algorithms. We are constantly looking for ways to improve our GPU architecture, especially for deep learning workloads, both training and inference, and maintain our leadership by developing new parallel programming models, and new architectures required to make this successful. In this position, you will be responsible for developing and enhancing various features in the GPU architecture that advance the state of the art in parallel programming models or parallel computing performance. You would interact with other world-class architects and researchers to build simulators, mapping deep learning workloads to current and future hardware, and validate new architectural features.

What you'll be doing:

  • Design new hardware features for future processing architectures targeted at deep learning workloads, for both training and inference.

  • Advance the state of parallel computation.

  • Be knowledgeable about future parallel programming models and their impact to hardware.

  • Develop software for various hardware simulators, test infrastructures or metrics systems including databases.

  • Work in a team to document, design, develop tools to analyze and simulate, validate, and verify functional or performance models.

  • Develop tests, testplans, and testing infrastructure for new graphics or parallel processing architectures

  • Be hungry to learn and work on simulators, RTL and real silicon.

What we need to see:

  • MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience.

  • Experience in working with hardware targeted at deep learning, or working on mapping deep learning algorithms to hardware.

  • 8+ years of relevant industry experience in GPU or other parallel programming architectures (or other equivalent experience).

  • Strong programming ability inC, C++, Perl andPython.

  • Background in computer architecture, parallel processing, signal processing and/or high performance computing.

  • Knowledge of state of the art in DL algorithms and attention mechanisms is a huge plus.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our GPU Architecture team and help us build the real-time, cost-effective AI computing platform driving our success in this exciting and quickly growing field.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

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.

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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