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Nvidia Research Jobs in Raleigh, NC (NOW HIRING)

Senior Research Scientist, Circuits

Durham, NC

$95.20K - $121.30K/yr

NVIDIA Research is seeking world-class circuit researchers to contribute to the exploration of future high-performance, low-power circuit technologies and development of prototype circuits. If you ...

Senior Solution Engineer, Networking

Durham, NC · On-site

$53.50 - $68.75/hr

Work with NVIDIA R&D teams to rapidly develop bug fixes, workarounds, and solutions for customers using NVIDIA's network technologies * Work directly with customer engineers on live triage of ...

Develop and answer open-ended AI security research questions that helps NVIDIA understand, measure, and reduce risk in frontier models, agentic systems, AI platforms, and AI-enabled products.

Develop and answer open-ended AI security research questions that helps NVIDIA understand, measure, and reduce risk in frontier models, agentic systems, AI platforms, and AI-enabled products.

Senior Developer Technology Engineer - AI

Durham, NC · Hybrid

$52.75 - $69.50/hr

Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA. What ...

Senior Debugger Software Engineer - IDE

Durham, NC · On-site

$118.40K - $156.10K/yr

Collaborate closely with research, libraries, and product teams at NVIDIA to identify debugger features that can effectively improve developer productivity and efficiency. * Investigate performance ...

... research.With the introduction of theGrace CPU Superchip, and more recently, the announcement of the Vera CPU, NVIDIA has expanded into the CPU server market, complementing our world-class GPUs and ...

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How much do nvidia research jobs pay per hour?

As of May 28, 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 job?

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 the Nvidia Research position, and why are they important?

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.
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Infographic showing various Nvidia Research job openings in Raleigh, NC as of May 2026, with employment types broken down into 1% As Needed, 86% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 6% Physical, 25% Hybrid, and 69% Remote job distribution, with an average salary of $79,193 per year, or $38.1 per hour.
Senior Research Scientist, Circuits

Senior Research Scientist, Circuits

Nvidia

Durham, NC

$95.20K - $121.30K/yr

Full-time

Posted 20 days ago


Job description

We are now looking for a Senior Research Scientist for Circuits! Advanced circuit design is critically important in the post-Moore's Law age. Without the ability to scale process to increase performance and reduce power, we must rely more and more on creative architectural and underlying circuit solutions to provide continuing advancement from generation to generation.

NVIDIA Research is seeking world-class circuit researchers to contribute to the exploration of future high-performance, low-power circuit technologies and development of prototype circuits. If you have a strong circuits background, desire to collaborate with elite researchers on critical problems, and a vision about how to advance the state-of-the-art, the team will be a great fit for you. NVIDIA has an ambitious circuit research agenda that involves taking circuit technology to the next level. This position offers an opportunity to have a real impact in a fast-moving technology-focused company.

What you'll be doing:

  • Explore circuit approaches to optimizing processor computation and interconnect performance and power

  • Design and implement circuit approaches in prototype systems

  • Collaborate with external researchers and a diverse set of internal product teams across research and product roles

  • Transfer technology to product groups

  • Publish original research and speak at conferences and events

What we need to see:

  • PhD or equivalent experience in Electrical Engineering, Computer Science/Engineering, or related field. A strong publication, patent, and research collaboration history is a huge advantage.

  • 3+ years of relevant post graduate research / work experience

  • Excellent knowledge and broad background of theory and practice of circuit design

  • Depth in one or more areas of high-performance circuit design (PLLs and clocking, SerDes and high-speed signaling, photonics, SRAMs, power delivery/regulation, security circuits, and high-speed logic)

  • Track record of research excellence or significant product development

  • Excellent communication and collaboration skills

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, autonomous and love a challenge, 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 192,000 USD - 304,750 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 April 11, 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.

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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