Senior HPC and Quantum Systems Engineer

Details

NVIDIA is seeking a Senior Quantum/HPC Systems Engineer to help architect, deploy, and operate a first-of-its-kind NVAQC (NVIDIA 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. You will lead all aspects of the day-to-day technical ownership of a tightly coupled GPU supercomputing environment coordinated with multiple quantum modalities.

This is not a pure research role nor a traditional HPC admin role—it is a systems engineering position dedicated to exploring quantum computing integration with classical systems. The role is ideal for someone who has built and operated production HPC environments, understands low-level systems and networking, and is excited to work hands-on with quantum hardware as it transitions from lab prototypes to operational infrastructure.

Responsibilities

Hybrid Quantum–HPC Platform Engineering

• 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.

HPC Systems & Operations

• 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.

Vendor & 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 & 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 that demonstrate the capabilities of the platform.

Technical Leadership

• Produce clear 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

• 10+ years of hands-on experience operating HPC or large-scale compute infrastructure in production environments.
• Bachelor’s degree or Master’s degree with equivalent experience in Physics, Electrical/Computer Engineering, Computer Science, or equivalent practical experience (PhD a plus).
• Strong background in Linux systems administration, job schedulers (Slurm or equivalent), and computing environments committed to reliable operation.
• 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.
• 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.

Benefits

• Eligible for equity and benefits.