Senior HPC and Quantum Systems Engineer

Details

NVIDIA is seeking a Senior HPC & Quantum Systems Engineer to help 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. The position focuses on turning experimental quantum hardware into a reliable research platform by operating a tightly coupled GPU supercomputing environment coordinated with multiple quantum modalities.

Responsibilities

Hybrid Quantum–HPC Platform Engineering

• Build, deploy, and operate a hybrid computing platform combining large-scale NVIDIA GPU clusters with physical quantum processors, including 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 coordinating GPU computation, quantum execution, and data movement across tightly coupled systems.

HPC Systems and Operations

• Own the reliability, performance, and lifecycle management of the quantum environment, including Linux systems, QPU hardware, job schedulers such as Slurm, networking, and storage.
• Work with networking and facilities teams to ensure power, cooling, timing, environmental controls, and low-latency connectivity meet quantum hardware requirements.

Vendor and Partner Collaboration

• Serve as a technical interface to quantum hardware partners, collaborating on system bring-up, connectivity, control interfaces, and co-design opportunities.
• Help define hosting, networking, and integration requirements for new quantum systems entering the facility.

Application Enablement and Performance

• Partner with internal 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 the capabilities of the platform.

Technical Leadership

• Produce internal documentation, integration guides, and operational runbooks to enable broader adoption of the platform.
• Represent the organization at technical workshops, conferences, and industry forums 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, or equivalent practical experience, in Physics, Electrical or Computer Engineering, Computer Science, or a related field. A PhD is a plus.
• Strong background in Linux systems administration, job schedulers such as Slurm or equivalent, and reliable computing environments.
• Proven experience working in data center environments, including networking, storage, power, and operational constraints.
• Familiarity with quantum computing concepts and hardware architectures, including neutral atom, trapped ion, superconducting, and photonic systems.
• Experience with or strong interest in quantum software environments such as 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, including control systems, APIs, networking, and performance tooling.
• Strong communication skills and the ability to work effectively with experimental scientists, systems engineers, and external partners.

Preferred Qualifications

• 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 and Benefits

• Base salary range: $224,000–$356,500 for Level 5.
• Base salary range: $272,000–$431,250 for Level 6.
• Eligibility for equity and benefits.
• NVIDIA offers a comprehensive benefits package.

The position is based in the Boston area and is marked as hybrid. Applications will be accepted at least until January 13, 2026.