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Research Scientist, Gate Design and Measurement, Quantum AI

Job

Google

Goleta, CA (In Person)

$198,782 Salary, Full-Time

Posted 03/16/2026 (Updated 18 hours ago) • Actively hiring

Expires 6/21/2026

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Job Description

Research Scientist, Gate Design and Measurement, Quantum AI corporate_fare Google place Goleta, CA, USA bar_chart Mid Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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 The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about . 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.

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