Research Scientist, Gate Design and Measurement, Quantum AI

Google • Goleta, CA

4d • $147,000 - $211,000

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree