PhD Research Intern, Quantum Simulation and AI - 2027

United States·Santa Claraentry

Research AssociateLaboratory & Life Sciences

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Quick Summary

Key Responsibilities

Research and develop creative and innovative algorithms and software systems for the quantum computing ecosystem. Collaborate with research and product teams in the areas of machine learning,

Requirements Summary

Currently pursuing a Ph.D. in Quantum Physics or related fields 1+ years of relevant research experience in quantum computing with a strong research record,

Technical Tools

Research AssociateLaboratory & Life Sciences

NVIDIA Research is seeking leading researchers in the area of simulation and AI for quantum. You should have a strong background of research excellence, software systems building experience, and interest in advancing the state-of-the-art in quantum computing and applications of GPUs to the quantum computing ecosystem. Specific areas of research interest include but are not limited to bespoke quantum representations, tensor network methods, quantum surrogate modeling, quantum inverse design, and automated proving for quantum systems.

Responsibilities

~1 min read

→Research and develop creative and innovative algorithms and software systems for the quantum computing ecosystem.
→Collaborate with research and product teams in the areas of machine learning, programming systems, and quantum computing.
→Publish and present your original research, speak at conferences and events.
→Collaborate with external quantum computing researchers.
→Run large-scale experiments on large clusters of GPUs to advance the state-of-the-art in quantum computing simulation.

Requirements

~2 min read

Currently pursuing a Ph.D. in Quantum Physics or related fields
1+ years of relevant research experience in quantum computing with a strong research record, well-referenced publications and/or patents.
Strong basis in linear algebra and expertise in math for quantum computing and tensor algebraic methods.
Experience with Python and, ideally, CUDA
Experience with commonly used machine learning frameworks (PyTorch, Tensorflow, JAX).
Strong communication and teamwork skills.

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, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.

You will also be eligible for Intern benefits.

Applications for this job will be accepted at least until October 16, 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.