Research Scientist, Gate Measurement, Quantum AI

Job description

Minimum qualifications

PhD in Physics, Applied Physics, or Electrical Engineering, a related technical field, or equivalent practical experience. Experience collecting and analyzing data in an experimental setting. Experience with programming and statistical analysis of datasets. Experience with techniques to characterize and calibrate hardware performance.

Preferred qualifications

Experience in analysis and modeling of multi-qubit quantum platforms. Proficiency with programming and statistical analysis of large datasets. About the job The Gates team is executing a multipronged research program to reach fidelities required for long-lived logical qubits. As a Gates Research Scientist, you will work on identifying noise processes through precise error benchmarking and use these results to identify new gate design and architecture parameters.

You will implement improved error-metrology circuits and cross-validate them with physical models from the theory team. You will also be responsible for conducting detailed architecture analysis and simulations, and defining hardware requirements of new gate designs for forward-looking architectures. As a Research Scientist, you will collaborate with other research scientists, hardware engineers, and software engineers to make high-performance quantum computing a reality.

The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US

$147000 - $210000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google .