Nvidia Senior Quantum Engineer - HPC Systems 

United States, Texas 

637637101

What You’ll Be Doing:

• Take charge of the technical integration of quantum hardware (neutral atom, trapped ion, superconducting) with HPC systems via APIs, middleware, and orchestration layers like CUDA-Q.

• Formulate and refine hybrid workflows to enable seamless task distribution between GPU clusters and quantum devices.

• Partner closely with quantum hardware suppliers to set up connectivity, control interfaces, and co-design specifications to improve performance, decrease latency, and enable data exchange.

• Partner with internal scientists and engineers to install & optimize applications, deploy hybrid workloads, and evaluate system performance.

• Work with control systems engineers to ensure environmental, timing, and data interfaces meet quantum hardware requirements.

• Prototype and benchmark hybrid applications in materials science, chemistry, optimization, and machine learning to showcase platform capabilities.

• Contribute to roadmap planning for adding new quantum modalities (superconducting, photonic) and integrating emerging SDKs.

• Represent NVIDIA at technical conferences, workshops, and industry forums, showcasing our advancements and groundbreaking efforts.

• Develop comprehensive user documentation and integration guides for internal use and cross-team collaboration.

• Drive continuous improvement across software stacks, orchestration layers, and data pipelines connecting quantum and HPC domains.

What We Need to See:

• 12+ years of experience in HPC system administration, Linux, Slurm, application support, and data management.

• Experience with quantum programming frameworks like CUDA-Q, Qiskit, PennyLane, Cirq, Braket, and more.

• Proficiency in Python, C++, or Rust for API integration and workflow automation.

• Strong understanding of HPC systems, Slurm orchestration, and GPU-accelerated computing environments.

• Understanding of quantum hardware systems encompassing neutral-atom, trapped-ion, superconducting, or photonic technologies.

• Bachelor’s or Master’s degree or equivalent experience in Physics, Electrical/Computer Engineering, or Computer Science (PhD preferred).

• Outstanding communication and collaborator management skills, with the ability to engage both experimental scientists and systems engineers.

Ways to Stand Out from the Crowd:

• Demonstrated track record collaborating with quantum hardware providers.

• Deep understanding of quantum-classical orchestration frameworks and low-latency data transfer architectures.

• Familiarity with cloud-based quantum services and HPC integration standards.

• Contributions to open-source quantum frameworks or involvement in academic collaborations.

• Success in bridging experimental physics and HPC engineering teams.

• Experience representing an organization in technical standards bodies or research consortia.