Senior Quantum Modeling Scientist - GPU Simulations

NVIDIA Corporation; Redmond (WA); On-site; USD 192,000 - 305,000; Full time

Job summary

NVIDIA Corporation is seeking a Sr. Quantum Applied Research Scientist to design high-fidelity quantum device models and scalable simulations.

You will develop physics-informed data pipelines, noise models, and GPU-accelerated implementations to advance fault-tolerant quantum computing for offline and real-time use. Collaborating with Product, Engineering and Applied Research teams worldwide, you will translate qubit physics into performant modeling systems, validate models with calibration

Qualifications

• Masters degree in Physics, CS, EE, Applied Math, or related field (Ph.D. strongly preferred).
• 8+ years of experience in quantum systems, physics-based modeling, simulation, or related research.
• Hands-on expertise in developing high-fidelity models of physical systems, including numerical simulation and model validation.
• Strong background in quantum device physics and information science, including noise models and fault-tolerant systems.
• Broad understanding of quantum control and classical feedback through software abstractions.

Responsibilities

• Research and develop advanced physics-based models and scalable simulation frameworks.
• Build physics-informed synthetic data pipelines leveraging quantum device models, noise channels, and Hamiltonian characterization.
• Develop detailed noise models of quantum hardware capturing decoherence and drift for accurate performance prediction.
• Develop GPU-accelerated implementations to scale the full pipeline.
• Communicate findings and collaborate with academic and industry partners to advance the field.

Skills

Quantum physics

Physics-based modeling

GPU programming

Numerical simulation

Collaboration

Education

Master's or PhD in Physics

PhD strongly preferred

Tools

CUDA

GPU tooling

Job description

NVIDIA Corporation is seeking a Sr. Quantum Applied Research Scientist to design high-fidelity quantum device models and scalable simulations.

You will develop physics-informed data pipelines, noise models, and GPU-accelerated implementations to advance fault-tolerant quantum computing for offline and real-time use. Collaborating with Product, Engineering and Applied Research teams worldwide, you will translate qubit physics into performant modeling systems, validate models with calibration