NVIDIA
Senior Quantum Engineer - HPC Systems
NVIDIA
We are looking for an HPC Engineer specialized in Quantum Computing for Hybrid Quantum and HPC Systems. This role will be responsible for helping to build and manage our new Accelerated Quantum Center located in the Boston area.
Explore an outstanding opportunity to develop a hybrid computing platform that combines NVIDIA’s latest GPU clusters with diverse quantum technologies. As our Quantum Engineer, you’ll play a pivotal role in integrating quantum systems with HPC infrastructure and application workflows. Your work will be instrumental in maintaining and improving performance and innovation within a collaborative and ambitious environment.
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.
Salary & Benefits Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $224,000 - $356,500 USD for Level 5, and $272,000 - $425,500 USD for Level 6.
You will also be eligible for equity and benefits.
Application Deadline Applications for this job will be accepted at least until November 4, 2025.
EEO Statement NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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We are looking for an HPC Engineer specialized in Quantum Computing for Hybrid Quantum and HPC Systems. This role will be responsible for helping to build and manage our new Accelerated Quantum Center located in the Boston area.
Explore an outstanding opportunity to develop a hybrid computing platform that combines NVIDIA’s latest GPU clusters with diverse quantum technologies. As our Quantum Engineer, you’ll play a pivotal role in integrating quantum systems with HPC infrastructure and application workflows. Your work will be instrumental in maintaining and improving performance and innovation within a collaborative and ambitious environment.
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.
Salary & Benefits Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $224,000 - $356,500 USD for Level 5, and $272,000 - $425,500 USD for Level 6.
You will also be eligible for equity and benefits.
Application Deadline Applications for this job will be accepted at least until November 4, 2025.
EEO Statement NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
#J-18808-Ljbffr