Senior HPC and Quantum Systems Engineer

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.

• 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, cu Quantum, NVQlink, Slurm, and related tool chains.

• 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

• 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.

• 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.

• 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, Penny Lane, Braket, or similar.
• Comfort working across system boundaries: control systems, APIs, networking, and performance tooling.

• 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…