As a Gates Research Scientist in Quantum AI at Google, you will focus on identifying noise processes through precise error benchmarking to enhance gate design and architecture. This role involves collaboration with other research scientists, hardware engineers, and software engineers to advance quantum computing capabilities. You will conduct detailed circuit analysis and simulations while defining hardware requirements for new gate designs. The ultimate goal is to contribute to the development of a large-scale quantum computer capable of complex computations.

• PhD in Physics, Applied Physics, or Electrical Engineering 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.

• 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-looking architectures.
• Develop software infrastructure and tools for wider team use.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.