Quantum Systems Yield Engineer - Cryogenic Testing & Data

Google Inc.; Goleta (CA); On-site; USD 132,000 - 189,000; Full time

Job summary

Google is seeking a Share Systems Yield Engineer for Quantum AI to drive the development and execution of comprehensive tests that characterize yield and reliability of critical components. You will create innovative test methods and fixtures for room temperature and cryogenic environments and work closely with software and hardware teams to keep data traceable for rapid decisions.

The role requires a Bachelor’s degree and 3+ years in electrical testing and data analysis, with preferred advanced

Qualifications

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a related field.
• 3+ years of electrical testing experience.
• 3+ years of experience using statistical and data analysis tools.

Responsibilities

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

Skills

Electrical testing

Statistical data analysis

Education

Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or related field

Tools

Plotly

matplotlib

Python

JMP

ReliaSoft

Job description

Google is seeking a Share Systems Yield Engineer for Quantum AI to drive the development and execution of comprehensive tests that characterize yield and reliability of critical components. You will create innovative test methods and fixtures for room temperature and cryogenic environments and work closely with software and hardware teams to keep data traceable for rapid decisions.

The role requires a Bachelor’s degree and 3+ years in electrical testing and data analysis, with preferred advanced