Minimum qualifications:- PhD degree in Physics, Electrical Engineering, a related field, or equivalent practical experience.
- Experience with Python for data acquisition and analysis.
- One or more scientific publication submission(s) for conferences, journals, or public repositories (such as Physical Review, AAAS, Nature and npj, etc.).
Preferred qualifications:- Experience with control and characterization of quantum devices.
- Experience executing quantum error correction (QEC) experiments.
- Track record of publication in scientific journals or participation in conferences.
Responsibilities- Conceptualize, design, and execute experiments that identify and isolate physical error mechanisms impacting quantum error correction algorithms.
- Develop data analysis tools and methods to parse and process large, high-dimensional quantum error correction datasets.
- Support and inform qubit design teams to integrate new technologies that mitigate these physical error mechanisms.
- Collaborate with modeling and theory teammates to co-design experiments backed with models that have strong predictive capabilities.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) 15% bonus target bonus equity benefits
Learn more about benefits at Google .
