Research Scientist, Gate Design and Measurement, Quantum AI
Job Overview
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Date PostedMarch 26, 2026
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Location
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Expiration date--
Job Description
2026-03-16T09:02:15.901Z
75954211124060870
Minimum qualifications:
- PhD in Physics, Applied Physics, or Electrical Engineering (or equivalent technical field) or equivalent practical experience.
- Experience collecting and analyzing data in an experimental setting.
- Experience with programming and statistical analysis of large datasets.
- Experience with techniques to characterize and calibrate hardware performance.
Preferred qualifications:
- 2 years of coding experience in Python.
- Experience in circuit theory.
- Experience in Superconducting Quantum Computing.
- Experience in circuit analysis and modeling of multi-qubit quantum platforms.
About the job
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 circuit analysis and simulations, and defining hardware requirements of new gate designs for forward-looking architectures.
In this role, 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 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.
Responsibilities
- Characterize and identify limiting error mechanisms in quantum logic gates.
- Partner with the theory team to build and verify physics models for noise and error processes in quantum logic gates.
- Execute detailed superconducting circuit analysis, analyze design parameters and build hardware system specifications for forward-look architectures.
- Develop software infrastructure and tools for wider team use.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.