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Senior Quantum Error Correction Research Scientist, Applied Research

NVIDIA· Research Staff Member
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Redmond, WA, Santa Clara, CA$192k - $304.8kFull-timePosted 7mo ago

About the role

Senior role focusing on technical pathfinding and development of fault-tolerant quantum computing technologies for NVIDIA’s Quantum Computing Applied Research team, collaborating across Product, Engineering, and Applied Research to advance fault-tolerant quantum supercomputing.

Responsibilities

  • Path-find technical innovations in Quantum Error Correction and Fault Tolerance, working with multi-functional teams in Product, Engineering, and Applied Research
  • Develop novel approaches to decoding quantum error correction codes and their logical operations, including researching advanced implementations in hardware
  • Research and co-design improved methods to achieve more scaled decoders
  • Collaborate with internal teams and external partners on developing technology components to enable a fault-tolerant software stack integrated with quantum hardware
  • Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving

Qualifications

  • Masters degree in Physics, Computer Science, Chemistry, Applied Mathematics, or related engineering field or equivalent experience (Ph.D. preferred)
  • Extensive background in Quantum Information Science with 6+ overall years of experience in the Quantum Computing industry
  • A demonstrated ability to deliver high impact value in quantum error correction and decoding

Skills

Required:Quantum Information ScienceQuantum Error CorrectionDecoding Algorithms
Nice to have:Hardware/Software Co-designCUDA and NVIDIA GPUsScientific Computing / HPC

Benefits

  • Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.
  • You will also be eligible for equity and benefits.
Last updated Sep 11, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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