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NVIDIA

Designs the chips and software that power AI

Principal Applied Quantum Research Scientist

AI ResearchUpdated on Nov 5
Full-timeIn-person

About the Job

Requirements

  • A Ph.D. in Physics, Computer Science, Applied Mathematics, Electrical Engineering, or a related technical field, or equivalent experience.
  • At least 12 years of research and industry experience in Quantum Information Science, Quantum Computing, Fault-Tolerant Quantum Computing, or related areas.
  • Deep expertise in one or more of quantum error correction, fault tolerance, logical architectures, quantum compilation, quantum synthesis, resource estimation, quantum algorithms, or quantum systems design.
  • A demonstrated record of impactful technical contributions through research achievements, publications, patents, open-source software, deployed technologies, or other innovations.
  • The ability to develop novel techniques and translate them into practical technologies that accelerate the path to scientifically useful fault-tolerant quantum computing.
  • Strong communication and collaboration skills and the ability to work effectively across research, engineering, product teams, and external partners.

Responsibilities

  • Conduct technical pathfinding and lead impactful research across fault-tolerant quantum computing, driving innovations from theory to practice in quantum error correction, logical architectures, compilation, synthesis, AI-driven optimization, and quantum system co-design.
  • Research novel approaches for fault-tolerant quantum computing logic and architectures, including fault-tolerant protocols and architectures, quantum compilation methods, application-architecture co-design, and fundamental primitives to enable fault-tolerant quantum computing and decoding at scale.
  • Develop and apply advanced AI and machine learning methods to accelerate fault-tolerant quantum computing, including decoding, compilation, architecture optimization, design-space exploration, and performance modeling.
  • Collaborate across Applied Research, Engineering, Architecture, and external partners to develop technologies that enable practical large-scale quantum computing.
  • Influence the evolution of NVIDIA’s quantum computing platforms, software stack, and accelerated quantum supercomputing roadmap.
  • Contribute to a culture of technical excellence, innovation, curiosity, and collaborative problem solving.

Desired Qualifications

  • Experience developing scalable fault-tolerant quantum computing systems spanning applications, software, logical layers, and hardware.
  • Experience applying AI, machine learning, reinforcement learning, foundation models, or advanced optimization techniques to quantum computing challenges.
  • Hands-on experience in scientific computing, high-performance computing, accelerated computing, or GPU-based systems.
  • Experience with CUDA, CUDA-Q, NVIDIA GPUs, or heterogeneous computing architectures.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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