Senior Quantum AI Research Scientist, Applied Research

Nvidia

Hybrid Actively hiring
Redmond, WA · Santa Clara, CA Posted 11 days ago $192,000–$304,750 / year
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At a glance

AI generated

TL;DR

As a Sr. Applied Research Scientist in Quantum Computing at NVIDIA, you will join a dynamic team dedicated to advancing fault-tolerant quantum systems through AI and machine learning. Your role involves designing and building sophisticated AI/ML models for quantum error correction, decoding, calibration, and more, while developing large-scale datasets and cutting-edge techniques that push the boundaries of what’s possible in the quantum ecosystem. You will collaborate closely with hardware and software teams to ensure your solutions meet real-world requirements and contribute to NVIDIA's open model initiatives. Ideal candidates have a Ph.D. or equivalent experience in fields like Computer Science, Physics, or Applied Mathematics, along with deep expertise in machine learning, quantum information science, and CUDA programming for GPU acceleration. This role requires hands-on experience with large-scale model training, domain adaptation, and high-performance computing frameworks to drive innovation in the rapidly evolving field of quantum computing.

Skills

Python PyTorch CUDA NVIDIA GPUs Quantum Information Science Deep Learning Machine Learning Graph Neural Networks Reinforcement Learning High-Performance Computing Distributed Training Frameworks HPC Environments LoRA QLoRA Adapters Superconducting Qubits Trapped Ions Fault-Tolerant Quantum Systems

What you'll do

  • Design and architect AI/ML models for quantum error correction and syndrome decoding.
  • Develop cutting-edge AI techniques for quantum computing to contribute to open model efforts.
  • Create large-scale datasets for training and evaluating AI models in quantum error correction.
  • Collaborate with hardware teams to collect and structure data for domain-adapted models.
  • Co-design AI solutions ensuring decoders meet latency requirements for real-time operation.
  • Communicate research findings through top-tier venues and collaborate with academic partners.

What we're looking for

  • Ph.D. in Computer Science, Physics, Applied Mathematics, Electrical Engineering, or related field preferred
  • 8+ years of experience in quantum computing and/or AI/ML research with high-impact contributions
  • Deep expertise in machine learning applied to scientific/engineering problems, including model architecture design and training at scale
  • Strong background in Quantum Information Science, focusing on error correction and fault-tolerant protocols
  • Hands-on experience developing learned decoders or calibration systems for quantum hardware platforms
  • Proficiency with CUDA and NVIDIA GPU programming for accelerating quantum simulation and AI workloads

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 825 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 813 roles with salary data.

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