Senior Quantum Applied Research Scientist, Physics Modeling

Details

At NVIDIA, you will work at the intersection of quantum device physics and advanced physics simulation and modeling to develop high-fidelity, real-time models for fault-tolerant quantum hardware. You will help design and build models grounded in device physics, calibration experiments, decoding, and system performance. The role involves developing physics-informed data-generation pipelines, advanced physics and noise models, and performant accelerated modeling systems for offline and real-time fault-tolerant quantum computing. You will collaborate with Product, Engineering, Applied Research, and academic and industry partners.

Responsibilities

• Research and develop advanced physics-based models and scalable simulation frameworks.
• Build physics-informed synthetic data-generation pipelines using quantum device models, noise channels, and Hamiltonian characterization.
• Develop detailed quantum-hardware noise models that capture device physics, decoherence, and drift behavior to support performance prediction and parameter inference.
• Develop GPU-accelerated implementations so the simulation and modeling pipeline can scale.
• Communicate research findings and collaborate with academic and industry partners.

Requirements

• Master's degree in Physics, Computer Science, Electrical Engineering, Applied Mathematics, or a related field; a Ph.D. is strongly preferred. Equivalent experience may be considered.
• 8 or more years of combined experience and high impact in quantum systems, physics-based modeling, simulation, or related research areas.
• Hands-on expertise developing high-fidelity models of physical systems, including numerical simulation and model validation.
• Strong background in quantum device physics and quantum information science, including noise models, error mechanisms, and fault-tolerant quantum systems across one or more qubit modalities.
• Broad understanding of quantum control, including 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.

Preferred Qualifications

• Experience developing simulation frameworks or digital twins of quantum systems and deploying them in calibration or control workflows.
• Understanding of fidelity, latency, and scalability trade-offs.
• Expertise in modeling, extracting, and validating noise processes, including system identification, parameter estimation, and uncertainty quantification.
• Experience with physics-informed or generative approaches to synthetic data generation, including noise simulation, Hamiltonian learning, or data augmentation for scientific workflows.
• Experience modeling more than one qubit modality, including neutral atom qubits.
• Proficiency with CUDA and NVIDIA GPU programming for quantum simulation, numerical modeling, or large-scale scientific workloads.

Benefits

NVIDIA offers competitive salaries, equity, and a comprehensive benefits package.

Applications will be accepted at least until June 12, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.