Principal Quantum Systems Engineer - Applied Research Quantum Computing

NVIDIA NVIDIA · Semiconductors · CA +2 · Remote

NVIDIA is seeking a Principal Quantum Systems Engineer for Applied Research in Quantum Computing. This role involves leading systems engineering for integrating QPUs into a fault-tolerant Accelerated Quantum Supercomputer, working with cross-functional teams. The position requires extensive background in Quantum Information Science and Systems Engineering, with a focus on designing, developing, and testing hybrid quantum-classical systems. Experience with various qubit modalities, classical control systems, and NVIDIA GPUs is beneficial.

What you'd actually do

  1. Path-find technical innovations in quantum-classical systems design and integration, working with multi-functional teams in Product, Engineering, and Applied Research
  2. Develop novel approaches to real-time calibration supported by rigorous systems analysis for a variety of qubit modalities
  3. Research and co-design integration of classical control systems, QPUs, and heterogeneous GPU and CPU compute, including computation and communication requirements
  4. Collaborate with internal teams and external partners on developing technology requirements and system components to enable fault-tolerant quantum computing
  5. Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving

Skills

Required

  • PhD Degree in Physics, Electrical Engineering, Computer Science, Applied Mathematics, or related engineering field or equivalent experience
  • Extensive background in Quantum Information Science and Systems Engineering
  • 12+ overall years of experience in the Quantum Computing industry
  • Demonstrated ability to deliver high impact value in quantum computing systems design
  • Hands-on experience working with several different types of qubits and controller systems

Nice to have

  • Hands-on experience with co-design of control systems with qubit architectures, ideally including communication and networking techniques
  • Working knowledge of methods of measuring and benchmarking quantum systems
  • Adoption of AI and ML techniques
  • Experience with CUDA and NVIDIA GPUs
  • Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing

What the JD emphasized

  • extensive background in Quantum Information Science and Systems Engineering
  • 12+ overall years of experience in the Quantum Computing industry
  • demonstrated ability to deliver high impact value in quantum computing systems design
  • Hands-on experience working with several different types of qubits and controller systems