Senior Quantum Applied Research Scientist, Physics Modeling

What you'll do

• Research and develop advanced physics-based models and scalable simulation frameworks for quantum hardware.
• Build physics-informed synthetic data generation pipelines using device models, noise channels, and Hamiltonian characterization.
• Develop detailed noise models to capture decoherence and drift behavior for accurate performance prediction.
• Create GPU-accelerated implementations to ensure the modeling pipeline scales effectively.
• Translate qubit physics into performant, accelerated modeling systems for both offline and real-time use.
• Model, extract, and validate noise processes including system identification and parameter estimation.
• Develop digital twins of quantum systems for use in calibration and control workflows.

What we're looking for

• Master's degree in Physics, Computer Science, Electrical Engineering, Applied Mathematics, or a related field (Ph.D. strongly preferred).
• 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.
• 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.
• Proficiency with CUDA and NVIDIA GPU programming for accelerating quantum simulation or large-scale scientific workloads (preferred).