PhD Research Intern, Quantum Simulation and AI - 2027

at Nvidia

USD 38-94 per hour

INTERN

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Algorithms CUDA @ 3 Communication @ 6 GPU JAX @ 3 Machine Learning @ 3 Mathematics @ 6 PyTorch @ 3 Python @ 3 TensorFlow @ 3

Details

NVIDIA Research is seeking leading researchers in simulation and AI for quantum computing. The role requires a strong background in research excellence, software systems building experience, and an interest in advancing the state of the art in quantum computing and the application of GPUs to the quantum computing ecosystem.

Specific areas of research interest include bespoke quantum representations, tensor network methods, quantum surrogate modeling, quantum inverse design, and automated proving for quantum systems.

Responsibilities

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

Requirements

Currently pursuing a Ph.D. in Quantum Physics or a related field.
At least 1 year of relevant research experience in quantum computing, with a strong research record and well-referenced publications and/or patents.
Strong foundation in linear algebra and expertise in mathematics for quantum computing and tensor algebraic methods.
Experience with Python; CUDA experience is preferred.
Experience with commonly used machine learning frameworks such as PyTorch, TensorFlow, or JAX.
Strong communication and teamwork skills.

Benefits

Intern hourly rates range from $38 to $94 USD, based on position, location, year in school, degree, and experience.
Eligible for NVIDIA intern benefits.
NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.

Applications for this job will be accepted at least until September 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.