qubitsok.com
Cut Noise. Work Quantum.
Americas, United States, Boston
•
Posted 102 days ago
🏢 NVIDIA
•
USD 224K - 425K per year
Role Type
Role Focus
Seniority
Employer Type
This Senior Quantum Engineer role focuses on developing and managing a hybrid computing platform that integrates GPU clusters with various quantum hardware systems in the new Accelerated Quantum Center. The engineer will be responsible for the technical integration of quantum hardware with high-performance computing (HPC) infrastructure using tools like CUDA-Q. This involves formulating seamless hybrid workflows, optimizing application performance, and collaborating with quantum hardware suppliers. This position is central to bridging quantum and classical computing domains to accelerate scientific discoveries.
Key Responsibilities
Manage the technical integration of various quantum hardware systems with HPC infrastructure using APIs and orchestration layers like CUDA-Q.
Design and refine hybrid computing workflows for efficient task distribution between GPU clusters and quantum devices.
Collaborate with quantum hardware suppliers to establish connectivity, control interfaces, and co-design specifications to enhance system performance.
Work with internal teams to install and optimize applications, deploy hybrid workloads, and assess overall system performance.
Prototype and benchmark hybrid applications in fields like materials science and machine learning to demonstrate platform capabilities.
Contribute to strategic roadmap planning for integrating new quantum modalities and emerging software development kits.
Develop comprehensive user documentation and integration guides for internal use and cross-team collaboration.
Required Skills
12+ years of experience in HPC system administration, Linux, Slurm, application support, and data management.
Experience with quantum programming frameworks (e.g., CUDA-Q, Qiskit, PennyLane, Cirq, Braket).
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 in Physics, Electrical/Computer Engineering, or Computer Science.
Outstanding communication and collaborator management skills, with the ability to engage experimental scientists and systems engineers.
Nice-to-have Skills
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.
Technology Tags
The role explicitly requires extensive experience in HPC system administration and GPU-accelerated computing environments.
The core function of the role is to develop and manage a hybrid computing platform combining GPU clusters and quantum technologies.
The candidate must be proficient in C++, Python, or Rust for API integration and workflow automation.
The role requires experience with quantum programming frameworks like CUDA-Q, Qiskit, PennyLane, and Cirq, and integrating emerging SDKs.
This is explicitly mentioned as one of the types of quantum hardware the engineer will be responsible for integrating.
The job involves linking quantum systems with HPC infrastructure via APIs, middleware, and ensuring low-latency data transfer.
The role involves prototyping and benchmarking hybrid applications in machine learning to showcase platform capabilities.
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