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Senior Quantum Applied Research Scientist, Calibration and Decoding

NVIDIA · Redmond, WA · Posted 95 days ago

$192k–$305khybridic
Machine LearningDeep LearningQuantum ComputingQuantum PhysicsQuantum ControlReinforcement LearningAIPython

At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a passionate scientist at the intersection of quantum device physics, quantum calibration, and machine learning. This role will path-find the future of intelligent, real-time models for fault-tolerant quantum hardware.

At NVIDIA, we want to help accelerate the entire quantum ecosystem. As a Sr. Quantum Applied Research Scientist, you will help design and build real-time models that learn from device physics, calibration experiments, decoding, and system performance. You will develop physics-informed data synthesis pipelines, post-trainable model architectures, and practical benchmarks that the quantum community can build on. Your research will translate qubit physics and the quantum control stack into performant AI systems for fault-tolerant quantum computing. The work will span synthetic training data generation, surrogate modeling, and co-optimized calibration-decoding pipelines. You will collaborate with teams across Product, Engineering, and Applied Research to push the frontier of Accelerated Quantum Supercomputers! Do you love developing new technology, enjoy working with people and teams around the world, and operating at the speed of light? If yes, we would love to hear from you!

What you'll be doing:

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Related roles

This role is one of 17 Research Scientist openings in Remote and centers on Machine Learning, Deep Learning, Quantum Physics, and Quantum Device Physics. There are 2,109 open roles at NVIDIA right now.

See this month's Hiring Index: Fabs Are Closing. Design Isn't. for the broader trend behind roles like this one.

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