PhD Research Intern, Quantum Simulation and AI - 2027

NVIDIANVIDIASanta Clara, California, United States
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Posted

9/23/2026

Employment

Intern

Range

$38 - $94/hr

Work style

On-site

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AI summary

Core responsibilities

Research and develop innovative algorithms and software systems for the quantum computing ecosystem. Collaborate with internal and external teams to advance state-of-the-art quantum simulation using large-scale GPU clusters.

Requirements overview

Candidates must be currently pursuing a Ph.D. in Quantum Physics or a related field with at least one year of relevant research experience. Strong proficiency in Python, CUDA, machine learning frameworks, and advanced mathematical methods for quantum computing is required.

Key skills

Quantum computingMachine learningPythonCUDAPyTorchTensorflowJAXLinear algebraTensor network methodsQuantum physicsAlgorithm developmentSoftware systemsQuantum surrogate modelingQuantum inverse designAutomated provingResearch

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Education requirements

postgraduate degree

About NVIDIA

Industry

Computer Hardware Manufacturing

Employees

52,309

Type

Public Company

Size

10,001+ employees

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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Job categories

TechnologyScience & ResearchSoftwareData & AnalyticsEngineering

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.

Requirements

  • Quantum computing
  • Machine learning
  • Python
  • CUDA
  • PyTorch
  • Tensorflow
  • JAX
  • Linear algebra
  • Tensor network methods
  • Quantum physics
  • Algorithm development
  • Software systems
  • Quantum surrogate modeling
  • Quantum inverse design
  • Automated proving
  • Research

Benefits

  • Intern benefits

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