Senior Quantum Applied Research Scientist, Calibration and Decoding

NVIDIA

Senior Quantum Applied Research Scientist creating AI models for quantum system calibration at NVIDIA. Leading quantum research initiatives for fault-tolerant quantum supercomputing advances.

Posted 6/9/2026full-timeRedmond • California, Washington • 🇺🇸 United StatesSenior💰 $192,000 - $304,750 per yearWebsite

About the role

Key responsibilities & impact

Research and develop open AI models for quantum system calibration to advance the state of the art and empower the quantum community to build on shared foundations.
Build physics-informed synthetic data generation pipelines that leverage quantum device models, noise channels, and Hamiltonian characterization to produce high-quality training data for upstream calibration and decoding model development.
Develop surrogate models of quantum hardware that capture device physics and drift behavior, enabling rapid performance prediction and parameter inference without full experimental overhead.
Architect performant real-time AI systems that jointly account for calibration state and decoding requirements, co-designing model latency, throughput, and update cadence to meet the demands of fault-tolerant feedback loops.
Apply reinforcement learning and online learning methods to calibration policy optimization, enabling models that improve continuously from hardware feedback and generalize across device families and modalities.
Develop GPU-accelerated implementations to ensure the full 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.

Requirements

What you’ll need

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 and AI/ML research.
Hands-on expertise in machine learning and deep learning for science or physics, including model architecture design, training at scale, fine-tuning, and evaluation.
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.
Excellent communication and collaboration skills.

Benefits

Comp & perks

Health insurance
401(k) matching
Paid time off
Remote work options
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI modelsquantum system calibrationsynthetic data generationsurrogate modelsreinforcement learningonline learningGPU-accelerated implementationsmachine learningdeep learningmodel architecture design

Soft Skills

communication skillscollaboration skillscreative problem solvingtechnical depthinnovation

Certifications

Masters degreePh.D.