Senior Quantum Modeling Scientist — GPU-Accelerated

NVIDIA; Santa Clara (CA); On-site; USD 192,000 - 304,750; Full time

Job summary

NVIDIA is seeking a Sr. Quantum Applied Research Scientist to design high-fidelity models grounded in device physics and quantum information science. You will develop physics-informed data pipelines and GPU-accelerated simulations to advance fault-tolerant quantum computing.

Collaboration across Product, Engineering, and Applied Research accelerates innovation. Applicants should have a PhD or equivalent, 8+ years in quantum systems, and strong communication skills to translate complex physics

Qualifications

• Masters Degree in Physics, Computer Science, Electrical Engineering, Applied Mathematics, or a related field (Ph.D. strongly preferred); or equivalent experience.
• 8+ years of combined experience and high impact in quantum systems, physics-based modeling, simulation, or related research areas.
• 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, error mechanisms, and fault-tolerant quantum systems across one or more qubit modalities.
• Broad understanding of quantum control, such as pulse-level hardware interfaces and classical feedback through software abstractions.
• Experience with scalable computing or accelerated systems for simulation, numerical methods, or modeling workflows.
• Excellent communication and collaboration skills.

Responsibilities

• Research and develop advanced physics-based models and scalable simulation frameworks.
• Build physics-informed synthetic data generation pipelines that leverage quantum device models, noise channels, and Hamiltonian characterization to produce high-quality datasets.
• Develop detailed noise models of quantum hardware that capture device physics, decoherence, and drift behavior, enabling accurate performance prediction and parameter inference without full experimental overhead.
• Develop GPU-accelerated implementations to ensure the full simulation and modeling pipeline scales.
• Communicate research findings and collaborate with academic and industry partners to advance the field, while championing rapid innovation, technical depth, and creative problem solving.

Skills

Quantum device physics

Physics-based modeling

Numerical simulation

CUDA / GPU programming

Data generation / synthetic data

Communication & collaboration

Education

Master's degree in Physics, CS, EE, Applied Mathematics

PhD preferred

Tools

CUDA

High-performance computing

Job description

NVIDIA is seeking a Sr. Quantum Applied Research Scientist to design high-fidelity models grounded in device physics and quantum information science. You will develop physics-informed data pipelines and GPU-accelerated simulations to advance fault-tolerant quantum computing.

Collaboration across Product, Engineering, and Applied Research accelerates innovation. Applicants should have a PhD or equivalent, 8+ years in quantum systems, and strong communication skills to translate complex physics