Senior Quantum Applied Research Scientist, Physics Modeling

Details

At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. This role sits at the intersection of quantum device physics and advanced physics simulation and modeling. You will design and build high-fidelity models grounded in device physics, calibration experiments, decoding, and system performance, and translate qubit physics into performant, accelerated modeling systems for fault-tolerant quantum computing (offline and real-time). You will collaborate with Product, Engineering, and Applied Research teams and contribute to accelerated quantum supercomputers.

Responsibilities

• Research and develop advanced physics-based models and scalable simulation frameworks.
• Build physics-informed synthetic data generation pipelines leveraging 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 to enable 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, championing rapid innovation, technical depth, and creative problem solving.

Requirements

• Master's 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.

Preferred / Ways to stand out

• Hands-on experience developing simulation frameworks or digital twins of quantum systems and deploying them in calibration or control workflows, with awareness of fidelity, latency, and scalability tradeoffs.
• Deep 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 with modeling of more than one qubit modality, including neutral atom qubits.
• Proficiency with CUDA and NVIDIA GPU programming for accelerating quantum simulation, numerical modeling, or large-scale scientific workloads.

Benefits

• Base salary range (location- and experience-dependent): 192,000 USD - 304,750 USD.
• Eligible for equity and benefits. See www.nvidiabenefits.com for details.

Other details

• Location: Redmond, Washington, United States. #LI-Hybrid
• Applications accepted at least until June 12, 2026.
• NVIDIA uses AI tools in its recruiting processes.
• NVIDIA is an equal opportunity employer committed to inclusive hiring practices.