qubitsok.com
Cut Noise. Work Quantum.
Americas, United States, Conneaut
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Posted 100 days ago
🏢 NVIDIA
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USD 224K - 425K per year
Role Type
Role Focus
Seniority
Employer Type
This role focuses on integrating quantum hardware with High-Performance Computing (HPC) systems to build and manage a new hybrid computing platform. The Senior Quantum Engineer will be responsible for defining and implementing technical integrations using APIs and orchestration layers like CUDA-Q. This includes partnering with quantum hardware suppliers, optimizing hybrid application workflows, and benchmarking performance in fields like materials science and machine learning. The goal is to bridge classical and quantum computing domains to accelerate scientific discoveries.
Key Responsibilities
Integrate diverse quantum hardware (neutral atom, trapped ion, superconducting) with HPC systems using APIs and orchestration layers like CUDA-Q.
Develop and refine hybrid workflows to seamlessly distribute computational tasks between GPU clusters and quantum devices.
Collaborate with quantum hardware suppliers to define connectivity, control interfaces, and co-design specifications for improved performance and low latency.
Work with internal scientists and engineers to optimize application deployment, execute hybrid workloads, and assess system performance.
Ensure environmental, timing, and data interfaces meet quantum hardware requirements by collaborating with control systems engineers.
Prototype and benchmark hybrid applications in fields such as materials science, chemistry, optimization, and machine learning to demonstrate platform capabilities.
Contribute to roadmap planning for adding new quantum modalities and integrating emerging software development kits (SDKs).
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.
Outstanding communication and collaborator management skills.
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 focuses on integrating quantum systems with HPC infrastructure and managing GPU clusters.
The job requires understanding and integration of diverse physical quantum systems including neutral atom, trapped ion, and superconducting devices.
Experience is required with numerous quantum programming frameworks like CUDA-Q, Qiskit, PennyLane, Cirq, and Braket, which function as SDKs.
The engineer must formulate and refine hybrid workflows enabling task distribution between GPU clusters and quantum devices.
The position involves technical integration of quantum hardware with HPC systems via APIs, middleware, and orchestration layers.
Proficiency in Python, C++, or Rust is explicitly required for API integration and workflow automation.
The work involves prototyping and benchmarking hybrid applications across materials science, chemistry, optimization, and machine learning.