PhD Research Intern, Quantum Simulation and AI - 2027

NVIDIA; Santa Clara (CA); On-site; USD 52,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Competitive hourly rate

Job summary

NVIDIA Research is seeking interns to advance quantum computing simulation using GPUs. You will work on novel algorithms and software systems, collaborating with ML and quantum teams to push state-of-the-art research.

We expect PhD candidates in quantum physics or related fields, with strong math background and publications, plus Python and CUDA experience. Intern benefits apply and applications close 27 Sept 2026.

Qualifications

• Currently pursuing a Ph.D. in Quantum Physics or related fields
• 1+ years of relevant research in quantum computing with strong publications and/or patents
• Strong basis in linear algebra and math for quantum computing
• Experience with Python and ideally CUDA
• Familiarity with PyTorch, TensorFlow, or JAX
• Strong communication and teamwork skills

Responsibilities

• Research and develop innovative algorithms for quantum computing ecosystems
• Collaborate with research and product teams in ML, 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 quantum computing simulation

Skills

Linear algebra

Research experience

Communication skills

Teamwork

Education

PhD in Quantum Physics or related field

Tools

Python

CUDA

PyTorch

TensorFlow

JAX

Job description

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.

What you’ll be doing:

• 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.

What we need to see:

• 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 September 27, 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.