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Nvidia Research Jobs in Raleigh, NC (NOW HIRING)

Senior Applied AI Engineer

Durham, NC · On-site

$101K - $138K/yr

NVIDIA has been transforming accelerated computing with innovation that's fueled by great ... Our team operates at the intersection of research, engineering, and product development ...

Senior Applied AI Engineer

Durham, NC · On-site

$118K - $156K/yr

NVIDIA has been transforming accelerated computing with innovation that's fueled by great ... Our team operates at the intersection of research, engineering, and product development ...

NVIDIA is searching for an outstanding ASIC Engineer to build and implement an MMU for the world ... research experience. Experience crafting memory subsystem units with properties such as memory ...

NVIDIA is searching for an outstanding ASIC Engineer to build and implement an MMU for the world ... of relevant work or research experience. * Experience crafting memory subsystem units with ...

... research With the introduction of the Grace 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 ...

In this role, your research will help NVIDIA build AI systems that are not only powerful, but trustworthy, resilient, and secure. You will work with world‑class researchers, engineers, and security ...

... Research upcoming industry directions for NVIDIA's key markets and provide engagement advice to Sr. Management What we need to see: You have a MS or PhD degree in computer or electrical engineering ...

... 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 ...

Research upcoming industry directions for NVIDIA's key markets and provide engagement advice to Sr. Management What we need to see: * You have a MS or PhD degree in computer or electrical engineering ...

Senior GPU Architect

Durham, NC · On-site

$125K - $170K/yr

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 and ...

Senior GPU Architect

Durham, NC · On-site

$125K - $170K/yr

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 and ...

Showing results 21-40

Nvidia Research information

See Raleigh, NC salary details

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How much do nvidia research jobs pay per hour?

As of Sep 8, 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.

Does Nvidia Research do research?

Nvidia Research is a division within Nvidia that focuses on conducting advanced research in areas such as artificial intelligence, computer graphics, and deep learning. Researchers in this division work on developing new technologies, algorithms, and tools to advance Nvidia's products and industry standards.

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

The most popular types of Nvidia Research jobs in Raleigh, NC are:

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, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $79,193 per year, or $38.1 per hour.

Senior Security Architect - Hardware

Nvidia

Durham, NC • On-site

Full-time

Re-posted yesterday


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

We are now looking for a Senior Security Architect. NVIDIA is seeking a technical leader interested in a chance to define, craft, and guide implementation of HW Root of Trust architecture for our pioneering SoCs and GPUs. You will be expected to take a strong hands-on role, working with diverse teams across both NVIDIA and external partners to meet HW Root of Trust requirements for our client, automotive, gaming and server platforms.

What you'll be doing: Collaborate across the company to guide the direction of platform security and develop a long-term roadmap for a flexible HW Root of Trust solution that will be integrated into our products, working with hardware, software, research and marketing teams. Research, design, and develop architecture solutions meeting internal and external security requirements and standards. Review architectural, microarchitectural and verification specifications published by internal teams to ensure all IPs align with platform security requirements.

Work with customers, partners to identify and address security issues and threats. What we need to see: BS, MS, PhD (or equivalent experience) in Electrical Engineering, Computer Science or Computer Engineering. 8+ years of meaningful relevant work or research experience.

Experience with the ASIC design process and architecture of large SoCs or GPUs. Programming and debugging fundamentals across languages such as: C/C++, Verilog, ARM assembly and Python/Perl scripting The ability to work in a dynamic customer focused team and strong communication skills are required. You have directly worked on several of the following: System architecture for mobile, automotive, gaming or server platforms SoC security architecture and security fundamentals including secure boot, measured boot and HW root of trust ARM or RISCV CPU architectures and related security functionality Cryptography: algorithms, standards, implementation and application Security mitigations against physical attacks including fault injection and side channel attacks Remote attestation mechanisms based on TPM or other solutions Digital Rights Management (DRM) standards Security threat modelling and penetration testing Certification standards and compliance testing NVIDIA is widely considered to be one of the technology world's most desirable employers.

Our invention of the GPU in 1999 sparked 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 - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".

We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous architect with a genuine passion for advancing innovative security features into silicon. If so, 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 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 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.


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Hours and flexibility

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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