Systems Yield Engineer, Quantum

Google is seeking a Systems Yield Engineer to join their Quantum AI team, focusing on advancing quantum computing capabilities. This role combines hardware testing, data analysis, and yield optimization in a cutting-edge quantum computing environment.

The position involves ensuring traceability of room temperature and cryogenic test data from various sources, including probe stations, bench top test jigs, and cryogenic stations. You'll work closely with Test Engineers to maintain data consistency between sub-teams, create workflows, ensure data fidelity, and generate data plots and reports.

As part of Google's mission to build a large-scale quantum computer capable of complex, error-corrected computations, you'll contribute to unlocking solutions to classically intractable problems. The role offers a unique opportunity to work at the intersection of hardware testing and data analysis in quantum computing.

The position requires strong technical skills in electrical testing and data analysis, with experience in Python and statistical tools being highly valuable. You'll be responsible for maintaining test fixtures, performing statistical analysis, and working with both software and hardware teams to optimize testing processes.

This is an excellent opportunity for someone with a background in engineering or physics who wants to contribute to groundbreaking quantum computing technology. The role offers competitive compensation including base salary, bonus, equity, and comprehensive benefits, reflecting Google's commitment to attracting top talent in this specialized field.

Working at Google's Goleta location, you'll be part of a team pushing the boundaries of quantum computing technology, with access to state-of-the-art facilities and the opportunity to collaborate with leading experts in the field. The position combines hands-on technical work with data analysis and cross-team collaboration, making it ideal for someone who enjoys both practical engineering and analytical challenges.