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Nvidia Research Jobs (NOW HIRING)

Principal Graphics Developer Tools Engineer

Austin, TX · On-site

$138K - $171K/yr

You will create and lead new strategic initiatives, partnering closely with NVIDIA Research, GPU Architecture, Driver, SDK, and Developer Technology teams to evaluate emerging technologies, prototype ...

Principal Graphics Developer Tools Engineer

Seattle, WA · On-site

$159K - $196K/yr

You will create and lead new strategic initiatives, partnering closely with NVIDIA Research, GPU Architecture, Driver, SDK, and Developer Technology teams to evaluate emerging technologies, prototype ...

Showing results 41-60

Nvidia Research information

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.

More about Nvidia Research jobs
What cities are hiring for Nvidia Research jobs? Cities with the most Nvidia Research job openings:
What are the most commonly searched types of Nvidia Research jobs? The most popular types of Nvidia Research jobs are:
What states have the most Nvidia Research jobs? States with the most job openings for Nvidia Research jobs include:
Infographic showing various Nvidia Research job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Quantum Computing Libraries Engineer

Nvidia

New York, NY • Hybrid

$134K - $176K/yr

Full-time

Re-posted 14 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

NVIDIA's accelerated computing platform has revolutionized HPC and AI, and we have built the cuQuantum SDK to enable researchers and framework developers in the area of Quantum Computing. This role will be part of an engineering team developing, scaling, and optimizing software to accelerate and scale quantum computing and quantum system simulations. Ideal candidates will have experience building software systems and curiosity about advancing the state-of-the-art in applications of HPC and GPUs to the quantum computing ecosystem. If you are passionate about designing and developing high-performance software and want to help us build libraries to significantly accelerate research and development in this exciting field, we would love to hear from you!


What you'll be doing:
  • Researching and developing and optimizing GPU accelerated algorithms across multiple hardware generations

  • Develop innovative HPC algorithms to scale quantum circuit simulations

  • Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, HPC technologies, and machine learning

  • Interacting with external partners and researchers to understand their use cases and requirements

  • Providing technical leadership and guidance to other engineers

  • Analyzing the performance of GPU, CPU, multi-GPU/multi-node implementations, finding opportunities for algorithmic or implementation-based improvements


What we need to see:
  • Excellent C++ and Python programming and software design skills, including functional and performance test design

  • Experience programming for GPUs, in a multi-threading and multi-node MPI programming model, and expertise in hardware-aware optimization

  • Experience with agentic coding tools

  • Demonstrated ability developing scientific software used in quantum simulations (e.g., circuit simulators, compilers, hybrid-computing)

  • PhD or MSc degree in Computer Science, Applied Math, Physics, or related science or engineering field (or equivalent experience)

  • 8+ years of experience

  • Strong collaboration, communication, and documentation skills


Ways to stand out from the crowd:
  • Experience using one or more quantum computing and deep learning frameworks (e.g., Qiskit, Cirq, Pennylane, TNQVM, TensorFlow, PyTorch)

  • Proven experience with HPC technologies and communication algorithms

  • Expertise in numerical methods, Hamiltonian integrals, quantum simulation techniques

  • Experience working in an agile software development environment within a globally distributed organization


With competitive salaries and a generous benefits package, we are 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 and, due to outstanding growth, our best-in-class engineering teams are rapidly growing.

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 20, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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