NVIDIA

Principal Applied Research Scientist, Quantum Supercomputing

California, United States

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Quantum Computing, Supercomputing, Artificial Intelligence, Scientific ResearchIndustries

About NVIDIA

At NVIDIA, we’re solving the world’s most exciting problems with our unique approach to accelerated computing. The Quantum organization is a small, strong, and visible group both inside and outside of NVIDIA while Quantum Information Science is an exciting area to advance the state of the art. We need passionate researchers to continue to grow this area.

Role Overview

As a Principal Applied Research Scientist, Quantum Supercomputing, you'll work with cross functional teams in Product, Engineering and Research to develop innovative technologies and intercept NVIDIA products in critical areas like AI methods for quantum, noise-accurate digital twins of quantum systems, and advanced simulation techniques.

Do you have deep technical expertise in quantum with a passion for groundbreaking technology? If so, we would love to learn more about you!

What You'll Be Doing

  • Establish and lead technical collaborations with SCCs on hybrid quantum-classical application development across multiple industry verticals.
  • Oversee and drive the execution of technical deliverables for projects involving key SCC partnerships, ensuring alignment with strategic objectives and customer success.
  • Publish research works and speak at relevant scientific, technical, and industry conferences.
  • Represent NVIDIA in Quantum Computing technical consortia and committees.
  • Contribute to NVIDIA’s revenue stream through strategic technical engagement and the development of innovative solutions that support customer adoption and long-term partnerships.

What We Need To See

  • Ph.D. in Physics, Computer Science, Chemistry, Applied Mathematics, or a related field (or equivalent experience).
  • 10+ Years of Applied Quantum Computing and Scientific Computing research or work experience.
  • Demonstrated leadership in technical partnerships with SCCs.
  • Excellent programming skills in Python, C++, and a parallel programming model (e.g., CUDA).
  • World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences.
  • A track record of research excellence demonstrated in publications at leading conferences and journals.

Ways To Stand Out From The Crowd

  • Recognized thought-leadership in the cross section of quantum applied research and high-performance computing.
  • Experience with the NVIDIA Quantum platform (cuQuantum or CUDA Quantum).

Work Environment & Culture

We are widely considered to be one of the technology world’s most desirable employers. We have some of the most talented people in the world working with us. If you are agile and autonomous, we want to hear from you!

Compensation & Benefits

  • Base Salary Range: 232,000 USD - 368,000 USD (This will be determined based on your location, experience, and the pay of employees in similar positions.)
  • You will also be eligible for equity and benefits.

Equal Opportunity

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.

Application Deadline

Applications for this job will be accepted at least until August 10, 2025.

Skills

Quantum Computing
Scientific Computing
Python
C++
CUDA
AI
Hybrid Quantum-Classical Computing
Applied Research
Technical Leadership
Communication Skills

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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