Senior HPC And Quantum Systems Engineer

Details

NVIDIA is seeking a Senior Quantum/HPC Systems Engineer to architect, deploy, and operate an NVIDIA Accelerated Quantum Computing (NVAQC) center in the Boston area. This role sits at the intersection of data center infrastructure, high-performance computing, and emerging quantum systems. It focuses on systems engineering to integrate quantum hardware with classical HPC infrastructure and to turn experimental quantum hardware into an operational research platform.

Responsibilities

• Build, deploy, and operate a hybrid computing platform combining large-scale NVIDIA GPU clusters with physical quantum processors (neutral atom, trapped ion, superconducting, and future modalities).
• Integrate quantum control systems and access nodes with HPC infrastructure using APIs, middleware, and orchestration frameworks such as CUDA-Q, cuQuantum, NVQlink, and related toolchains.
• Develop and refine hybrid execution workflows that coordinate GPU computation, quantum execution, and data movement across tightly coupled systems.
• Be responsible for the reliability, performance, and lifecycle management of the Quantum environment, including Linux systems, QPU hardware, job schedulers (e.g., Slurm), networking, and storage.
• Work closely with networking and facilities teams to ensure power, cooling, timing, environmental controls, and low-latency connectivity meet quantum hardware requirements.
• Serve as a technical interface to quantum hardware partners; collaborate on system bring-up, connectivity, control interfaces, and co-design opportunities.
• Define hosting, networking, and integration requirements for new quantum systems entering the facility.
• Partner with researchers and engineers to deploy, optimize, and benchmark hybrid workloads across simulation, quantum error correction, calibration, optimization, and machine learning.
• Prototype and evaluate end-to-end workflows demonstrating platform capabilities.
• Produce internal documentation, integration guides, and operational runbooks; represent the organization at technical workshops and conferences when appropriate.

Requirements

• 10+ years of hands-on experience operating HPC or large-scale compute infrastructure in production environments.
• Bachelor’s or Master’s degree (Physics, Electrical/Computer Engineering, Computer Science) or equivalent practical experience; PhD is a plus.
• Strong background in Linux systems administration, job schedulers (Slurm or equivalent), and computing environments committed to reliable operation.
• Proven experience with data center environments, including networking, storage, power, and operational constraints.
• Familiarity with quantum computing concepts and hardware architectures (neutral atom, trapped ion, superconducting, photonic).
• Experience with or strong interest in quantum software environments including CUDA-Q, Qiskit, Cirq, PennyLane, Braket, or similar.
• Proficiency in Python and/or C++ for automation, API integration, and workflow orchestration.
• Comfortable working across system boundaries: control systems, APIs, networking, and performance tooling.

Ways To Stand Out

• Direct experience integrating or hosting physical quantum hardware in a data center or HPC environment.
• Deep knowledge of quantum–classical orchestration, low-latency data paths, or real-time control considerations.
• Experience working with NVIDIA tools and frameworks.
• Experience bridging experimental research teams and production infrastructure.

Compensation

• Base salary ranges (location- and level-dependent):
  • Level 4: 184,000 USD - 287,500 USD
  • Level 5: 224,000 USD - 356,500 USD
• Eligible for equity and benefits.

Additional Information

• Location: Boston area (posting lists Westford, MA).
• Applications accepted at least until April 4, 2026.
• NVIDIA uses AI tools in recruiting processes and is an equal opportunity employer.