Senior HPC and Quantum Systems Engineer

at Nvidia
USD 224,000-431,200 per year
SENIOR
✅ Hybrid

Tech Stack

API @ 6 CUDA @ 7 GPU HPC @ 4 Linux @ 7 Machine Learning Networking @ 4 Slurm @ 7

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, and is focused on turning experimental quantum hardware into a reliable research platform. You will lead the day-to-day technical ownership of a tightly coupled GPU supercomputing environment coordinated with multiple quantum modalities.

This is a systems engineering position dedicated to exploring quantum computing integration with classical systems. The role is suited to someone who has built and operated production HPC environments, understands low-level systems and networking, and is interested in working 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, including neutral atom, trapped ion, superconducting, and future modalities.
  • Integrate quantum control systems and access nodes with HPC infrastructure using APIs, scientific applications, and orchestration frameworks such as CUDA-Q, cuQuantum, NVQlink, Slurm, and related toolchains.

HPC Systems and Operations

  • Own the reliability, performance, administration, and lifecycle management of the quantum environment, including Linux systems, QPU hardware, job schedulers such as Slurm, networking, containerized applications, and storage.
  • Work with networking and facilities teams to ensure that 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, systems architecture, 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, document, and evaluate end-to-end workflows demonstrating the capabilities of the platform.
  • Support researchers with application solving and standard methodologies.

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 experience, in Physics, Electrical or Computer Engineering, or Computer Science. A PhD is a plus.
  • Strong background in Linux systems administration, job schedulers such as 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, 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 tools.
  • Comfort working across system boundaries, including control systems, APIs, networking, and performance tooling.

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, scientific application support, and/or real-time control considerations.
  • Experience with NVIDIA tools and frameworks.
  • Experience bridging experimental research teams and production infrastructure.

Benefits

NVIDIA offers competitive salaries, equity, and a comprehensive benefits package. Applications will be accepted at least until August 17, 2026. NVIDIA is an equal opportunity employer.

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