NVIDIA is looking for a Senior Quantum Engineer - HPC Systems to build and manage our new Accelerated Quantum Center in Boston. You will develop a hybrid computing platform that integrates NVIDIA's GPU clusters with quantum technologies, playing a pivotal role in bridging quantum systems with HPC infrastructure and application workflows.
What You'll Do
- Lead the technical integration of quantum hardware (neutral atom, trapped ion, superconducting) with HPC systems via APIs, middleware, and orchestration layers like CUDA-Q.
- Develop and refine hybrid workflows to enable seamless task distribution between GPU clusters and quantum devices.
- Partner closely with quantum hardware suppliers to establish connectivity, control interfaces, and co-design specifications to improve performance, decrease latency, and enable data exchange.
- Collaborate with internal scientists and engineers to install and 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.
- Create 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're Looking For
- 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, and 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 or equivalent experience in Physics, Electrical/Computer Engineering, or Computer Science.
- Outstanding communication and collaborator management skills, with the ability to engage both experimental scientists and systems engineers.
Nice to Have
- PhD in Physics, Electrical/Computer Engineering, or Computer Science.
- 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.
Technical Stack
- Frameworks: CUDA-Q, Qiskit, PennyLane, Cirq, Braket
- Languages: Python, C++, Rust
- Systems: Linux, Slurm
Benefits & Compensation
- Compensation range: $224,000 - $356,500 for Level 5, and $272,000 - $425,500 for Level 6.
- Equity
- Benefits
Work Mode
This is a hybrid position based in the Boston area.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.
