PhD Research Intern, Quantum Simulation and AI - 2027

NVIDIA
Santa Clara
Workplace: OnsiteInternshipUSD 38 - 94 hourlyFunction: Research & Scientific (R&D)Experience: 1+ yearsEducation: phdSkills: ["Communication","Teamwork"]

Develop innovative algorithms and software systems for the quantum computing ecosystem, collaborating with research and product teams across machine learning, programming systems, and quantum computing. Work with external quantum researchers, publish and present findings at conferences, and run large-scale GPU cluster experiments to advance quantum simulation. Focus areas include quantum representations, tensor network methods, surrogate modeling, inverse design, and automated proving.

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NVIDIA
NVIDIA
2 days ago

PhD Research Intern, Quantum Simulation and AI - 2027

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Last checked: 16 hours agoStatus: Live

Job Summary

Develop innovative algorithms and software systems for the quantum computing ecosystem, collaborating with research and product teams across machine learning, programming systems, and quantum computing. Work with external quantum researchers, publish and present findings at conferences, and run large-scale GPU cluster experiments to advance quantum simulation. Focus areas include quantum representations, tensor network methods, surrogate modeling, inverse design, and automated proving.
Location: Santa Clara
Workplace: Onsite
Employment Type: Internship
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Research and develop algorithms and software systems for the quantum computing ecosystem.
  • •Collaborate with research and product teams across 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 quantum computing simulation.

Pay and Benefits

Salary: USD 38 - 94 hourly

Key Requirements

  • •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 (publications and/or patents).
  • •Strong foundation in linear algebra and math for quantum computing, including tensor algebraic methods.
  • •Experience with Python and ideally CUDA.
  • •Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
Experience:1+ yearsQuantum computingMachine learningGPU computing
Education:PhD / Doctorate in Quantum Physics
Skills:CommunicationTeamwork
Tech Stack:PythonCUDAPyTorchTensorFlowJAX

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
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Glassdoor: 4.3
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