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Senior Quantum AI Research Scientist, Applied Research

NVIDIA· Research Staff Member
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Hybrid (Redmond, WA), Hybrid (Santa Clara, CA)$192k - $304.8kFull-timePosted 4mo ago

About the role

Senior AI research scientist with deep quantum computing expertise to develop AI/ML solutions for fault-tolerant quantum computing, including error correction, decoding, calibration, and beyond, collaborating across Product, Engineering, and Applied Research to advance NVIDIA’s quantum ecosystem.

Responsibilities

  • Design and architect AI/ML models—including deep neural networks, graph neural networks, transformers, and reinforcement-learning agents—for quantum error correction, syndrome decoding, logical operation synthesis, and real-time calibration in fault-tolerant quantum systems.
  • Develop cutting-edge AI techniques for quantum computing that contribute to NVIDIA's open model efforts across the quantum ecosystem.
  • Create high-quality, large-scale datasets for quantum error correction and quantum system characterization, including simulated and hardware-derived syndrome data.
  • Collaborate with quantum hardware teams to collect and structure hardware-derived training data for domain-adapted models.
  • Co-design AI solutions with quantum hardware and software teams to ensure decoders and calibration models meet latency and throughput requirements for real-time operation in fault-tolerant feedback loops.
  • Communicate research findings through top-tier venues and collaborate with academic and industry partners to advance the field; promote rapid innovation and technical depth.

Qualifications

  • Degree in Computer Science, Physics, Applied Mathematics, Electrical Engineering, or a related field (Ph.D. strongly preferred); equivalent demonstrated experience also considered.
  • 8+ years of combined experience in quantum computing and/or AI/ML research with high-impact contributions.
  • Deep expertise in machine learning and deep learning—model architecture design, training at scale, and evaluation—applied to scientific or engineering problems.
  • Strong background in Quantum Information Science, including quantum error correction, fault-tolerant protocols, and quantum noise models.
  • Excellent communication skills and ability to collaborate across research, engineering, and product teams.

Skills

Required:AI/ML model designQuantum error correctionSyndrome decodingCalibration in quantum systems
Nice to have:Dataset creation and benchmarking

Benefits

  • Equity and benefits package as described in NVIDIA benefits materials.
Last updated Jul 3, 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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