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NVIDIA

Designs the chips and software that power AI

Developer Relations Manager - Quantum Computing, National Labs and Federal

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A master's degree in physics, computer science, electrical engineering, applied mathematics, chemistry, or a related field, or equivalent experience.
  • At least 8 years of experience in quantum information science, including at least 5 years in the quantum computing industry or at a national laboratory or similar research institution.
  • Demonstrated technical expertise across quantum algorithms, quantum error correction, or quantum hardware and control systems, with the ability to hold credible technical discussions with principal investigators.
  • Hands-on background in scientific computing, high-performance computing, or GPU-accelerated software development.
  • Strong written and verbal communication skills, including public speaking to technical audiences.
  • Willingness to travel frequently, approximately 40%, to national laboratories, federal sites, and conferences across the United States.
  • U.S. citizenship and a security clearance are required.

Responsibilities

  • Develop and sustain technical knowledge in quantum workloads important to the federal research community, including large-scale circuit and device-level simulation, quantum error correction with real-time decoding, hybrid quantum-classical algorithm development, and QPU integration with high-performance computing systems.
  • Lead strategic collaborations with DOE national laboratories, NQIS Research Centers, NNSA sites, and federally funded quantum programs across DoD, IC, NIST, and NSF, and identify high-impact problems NVIDIA can address.
  • Partner with laboratory research teams and leadership computing facilities to plan, build, and embed the NVIDIA quantum stack—CUDA-Q, cuQuantum, CUDA-Q QEC, and NVQLink—into production research workflows.
  • Conduct technical workshops, hackathons, and hands-on training at national laboratories, user facilities, and federal research venues.
  • Represent NVIDIA at scientific and technical conferences, including SC, APS Global Physics Summit, and IEEE Quantum Week.
  • Monitor the federal quantum landscape for opportunities in quantum simulation for materials and high-energy physics, large-scale quantum error correction, AI applied to quantum computing, and quantum digital twins.
  • Deliver organized insights to NVIDIA engineering and product groups to support the CUDA-Q, CUDA-Q QEC, Ising, and NVQLink roadmaps.
  • Engage senior technical leaders, including division directors, principal investigators, chief scientists, and program managers, and collaborate to address QPU-GPU integration, real-time control, decoding latency, and the transition to fault tolerance.

Desired Qualifications

  • A PhD is preferred.
  • Prior experience working at or with a DOE national laboratory, an NQIS Research Center, or another federal institution, particularly hands-on experience at a leading computing facility.
  • Familiarity with federal research funding, procurement, collaboration mechanisms, and how laboratory program offices set technical direction.
  • Prior developer relations, technical evangelism, or solutions architecture experience in a research-facing role.
  • Experience with quantum control stacks, QPU calibration, or real-time systems.
  • An active TS/SCI or DOE Q clearance is strongly preferred.

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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