Quantum Systems Yield Engineer - Cryogenic Testing & Data

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

Job summary

Google LLC in Goleta, CA is seeking a Share Systems Yield Engineer for Quantum AI to drive testing for yield and reliability of critical components. The role develops test methods and fixtures for room temperature and cryogenic environments, collaborating with software and hardware teams to keep test data traceable for rapid decision-making.

Salary is US dollars with equity and benefits; individual pay is determined by skills, experience, and education.

Qualifications

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
• 3 years of experience with electrical testing.
• 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 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.

Skills

Electrical testing

Data analysis

Education

Bachelor's degree (EE/CE/CS/Physics)

Master's or PhD (preferred)

Tools

Plotly

matplotlib

Python

JMP

ReliaSoft

Job description

Google LLC in Goleta, CA is seeking a Share Systems Yield Engineer for Quantum AI to drive testing for yield and reliability of critical components. The role develops test methods and fixtures for room temperature and cryogenic environments, collaborating with software and hardware teams to keep test data traceable for rapid decision-making.

Salary is US dollars with equity and benefits; individual pay is determined by skills, experience, and education.