The Systems Yield Engineer for Quantum AI at Google will focus on developing and executing testing methods to characterize the yield and reliability of critical components and assemblies. This role involves collaboration with both software and hardware teams to ensure that test data is traceable and accessible for rapid decision-making. The engineer will also work on innovative test methods for various environments, including cryogenic conditions. The position is essential for advancing quantum computing capabilities and enabling meaningful applications.

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field, or equivalent practical experience.
• 3 years of experience with electrical testing.
• 3 years of experience using statistical and data analysis tools.
• Master's degree or PhD in a relevant field is preferred.
• Experience with data visualization libraries like Plotly or matplotlib.
• Experience with cryogenic testing is preferred.
• Proficiency in data analysis using tools such as Python, JMP, or ReliaSoft.
• Familiarity with PCB design principles and mechanical design fundamentals.
• Understanding of electrical noise and measurement sensitivity.

• Specify, design, and maintain mechanical, electrical, and thermal test fixturing for component, sub-assembly, and system testing.
• Develop new test methods for both room temperature and cryogenic environments.
• Partner with software and hardware teams to assure test and yield data are traceable and accessible for fast decision-making.
• Perform data analysis in support of new tests and root cause analysis.
• Work with internal hardware teams and vendors to create pass/fail criteria and automation for test analysis.

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