At NVIDIA, we address some of the world’s most exciting challenges with our unique approach to accelerated computing. As a Senior Quantum Algorithm Researcher you will help grow the adoption of our products and collaborate with Product, Engineering, and Research teams to drive innovation at the intersection of quantum computing applications and AI. Your work will contribute to NVIDIA quantum product in key areas such as AI methods for quantum algorithm discovery, advanced quantum simulations, and digital twins.
NVIDIA’s Quantum group is a small, high-impact team visible both internally within NVIDIA and externally across the global quantum community. We’re looking for passionate quantum algorithm researchers who want to help define the future of the field. Do you have deep technical expertise in quantum algorithms and applications, and a drive to push the boundaries of technology? If yes, we’d love to hear from you!
What You'll Be Doing:
Establish and lead technical collaborations with supercomputing centers (SCCs) on hybrid quantum-classical application development across multiple industry verticals.
Lead research pathfinding in AI for quantum algorithms.
Lead all aspects of and drive the execution of technical results for projects in collaboration with our strategic partnerships, including SCCs, leading QPU builders, and needle-moving researchers, ensuring alignment with strategic objectives and customer success.
Contribute to NVIDIA’s revenue stream through strategic technical engagement and the development of innovative solutions that support customer adoption and long-term partnerships.
Publish impactful research works and represent NVIDIA at relevant scientific, technical, and industry conferences.
What We Need To See:
Ph .D. in Quantum Computing, Physics, Computer Science, or a related field (or equivalent experience).
Over 9 years of experience working on Quantum Algorithms and Applications.
Demonstrated leadership in technical collaborations with industry partners. Excellent programming skills in Python, C++, and a parallel programming model (e.g., CUDA).
World-class communication and interpersonal skills with a proven ability to articulate a value proposition to technical and non-technical audiences.
A track record of research excellence demonstrated in publications and presentations at leading conferences.
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-Q)!
Skills Required
- Ph.D. in Quantum Computing, Physics, Computer Science, or a related field
- Over 9 years of experience working on Quantum Algorithms and Applications
- Demonstrated leadership in technical collaborations with industry partners
- Excellent programming skills in Python, C++, and a parallel programming model (e.g., CUDA)
- A track record of research excellence demonstrated in publications and presentations at leading conferences
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s 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, NVIDIA is increasingly known as “the AI computing company.”
