Senior HPC And Quantum Systems Engineer

Details

NVIDIA is seeking a Senior HPC & Quantum Systems Engineer to architect, deploy, and operate an Accelerated Quantum Computing Center in the Boston area. This role sits at the intersection of data center infrastructure, high-performance computing, and emerging quantum systems, and focuses on turning experimental quantum hardware into a reliable research platform. The role involves hands-on systems engineering, integrating physical quantum processors with large-scale NVIDIA GPU clusters, and operating production HPC environments coordinated with multiple quantum modalities.

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 for system bring-up, connectivity, control interfaces, and co-design opportunities.
• Help 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 that demonstrate platform capabilities.
• Produce internal documentation, integration guides, and operational runbooks; represent the organization at technical workshops and conferences when appropriate.

Requirements

• 12+ 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 and job schedulers (Slurm or equivalent).
• Proven experience working in 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.
• Solid understanding of GPU-accelerated computing and heterogeneous systems.
• Proficiency in Python and/or C++ for automation, API integration, and workflow orchestration.
• Comfort working across system boundaries: control systems, APIs, networking, and performance tooling.
• Strong communication skills and ability to work with experimental scientists, systems engineers, and external partners.

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 & Benefits

• Base salary ranges provided by location and level:
  • Level 5: 224,000 USD - 356,500 USD
  • Level 6: 272,000 USD - 425,500 USD
• Eligible for equity and benefits (see www.nvidiabenefits.com and NVIDIA benefits pages).

Additional Information

• Location: Boston area / Westford, MA (hybrid) — role will operate alongside advanced GPU platforms.
• Application deadline: at least until January 10, 2026.
• NVIDIA is an equal opportunity employer and fosters a diverse work environment.
• Internal tag: #LI-Hybrid