Senior HPC and Quantum Systems Engineer

What you'll do

• Build, deploy, and operate a hybrid computing platform combining NVIDIA GPU clusters with physical quantum processors.
• Integrate quantum control systems and access nodes with HPC infrastructure using APIs and orchestration frameworks like CUDA-Q and Slurm.
• Manage the reliability, performance, and lifecycle of Linux systems, QPU hardware, networking, and storage.
• Coordinate with facilities teams to ensure power, cooling, timing, and environmental controls meet quantum hardware requirements.
• Serve as the technical interface to quantum hardware partners for system bring-up, connectivity, and co-design.
• Define hosting, systems architecture, and integration requirements for new quantum systems entering the facility.
• Optimize and benchmark hybrid workloads for quantum error correction, calibration, and machine learning.
• Prototype and document end-to-end workflows to demonstrate the platform's capabilities to internal researchers.

What we're looking for

• 12+ years of hands-on experience operating HPC or large-scale compute infrastructure in production environments.
• Bachelor’s degree or Master’s degree in Physics, Electrical/Computer Engineering, or Computer Science (PhD a plus).
• Strong background in Linux systems administration, job schedulers like Slurm, 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 such as neutral atom, trapped ion, superconducting, and photonic.
• Experience with quantum software environments including CUDA-Q, Qiskit, Cirq, PennyLane, Braket, or similar.
• Direct experience integrating or hosting physical quantum hardware in a data center or HPC environment (preferred).
• Experience working with NVIDIA tools and frameworks (preferred).