Senior HPC and Quantum Systems Engineer

NVIDIA; New Hampshire; Hybrid; USD 224,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA is seeking a seasoned engineer to build and operate a hybrid quantum–HPC platform. You will integrate quantum control with HPC clusters, ensure reliability, and collaborate across teams to scale quantum-enabled workloads.

Responsibilities include deploying quantum software environments, benchmarking workflows, and supporting researchers with optimized, end‑to‑end solutions for simulation and machine learning tasks.

Qualifications

• 12+ years of hands-on experience operating HPC or large-scale compute infra in production.
• Bachelor’s or Master’s in Physics, Electrical/Computer Engineering, or Computer Science (PhD a plus).
• Strong Linux systems administration, job schedulers (Slurm or equivalent).
• Experience in data center environments: networking, storage, power, constraints.
• Familiarity with quantum computing concepts and hardware architectures.
• Experience with CUDA‑Q, Qiskit, Cirq, PennyLane, Braket or similar.
• Comfort across system boundaries: control systems, APIs, networking, performance tooling.

Responsibilities

• Build, deploy, and operate a hybrid computing platform with NVIDIA GPU clusters and quantum processors.
• Integrate quantum control systems with HPC infrastructure via APIs and orchestration tools.
• Ensure reliability, performance, and lifecycle management of the Quantum environment (Linux, QPU hardware, Slurm, networking, storage).
• Collaborate with networking and facilities to meet power, cooling, timing and low-latency needs.
• Partner with researchers to deploy, optimize, and benchmark hybrid workloads across simulations and ML.
• Prototype end‑to‑end workflows and support researchers with application solving.

Skills

Linux admin

Slurm

Networking

Containers

Performance tools

Quantum computing

CUDA‑Q

Qiskit

Cirq

PennyLane

Braket

APIs

Data center ops

Education

Bachelor’s or Master in Physics, EE, CS

Tools

Slurm (job scheduler)

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

What you'll be doing:

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, scientific applications, and orchestration frameworks such as CUDA-Q, cuQuantum, NVQlink, Slurm, and related toolchains.

HPC Systems & Operations

• Be responsible for the reliability, performance, administrations, and lifecycle management of the Quantum environment, including Linux systems, QPU hardware, job schedulers (e.g., Slurm), networking, containerized applications, 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, systems architecture, 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, document, and evaluate end‑to‑end workflows that demonstrate the capabilities of the platform.
• Support researchers with application solving and standard methodologies.

What We Need To See

• 12+ 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 (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.
• Comfort working across system boundaries: control systems, APIs, networking, and performance tooling.

Ways To Stand Out From The Crowd

• 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 working with NVIDIA tools and frameworks.
• Experience bridging experimental research teams and production infrastructure.

This position plays a central role in bridging quantum research and operational computing infrastructure. You will directly influence how quantum systems are coordinated, scaled, and made usable by researchers, crafting both internal capabilities and external partnerships. Your work will help transform quantum computing from experimental hardware into a dependable, accelerated computing resource. It will operate alongside one of the most advanced GPU platforms in the world! This will materially impact the future of scientific computing. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.