Systems Yield Engineer, Quantum AI

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

Benefits offered by this job

Equity

Bonus target 15%

Benefits

Job summary

Google Quantum AI is seeking a Quantum Systems Yield Engineer in Goleta, CA to lead the development and execution of comprehensive testing that characterizes the yield and reliability of critical components and assemblies.

You will develop innovative test methods and custom fixtures for both room temperature and cryogenic environments, collaborate closely with software and hardware teams, and ensure test and yield data remain traceable to support rapid decision making.

Qualifications

• Bachelor's degree or equivalent practical experience in EE/CE/CS/Physics or related field.
• 3 years experience with electrical testing.
• 3 years experience with 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 traceable test and yield data 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 in EE/CE/CS/Physics or related

Tools

Plotly

matplotlib

Python

JMP

ReliaSoft

Job description

Minimum 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.

Preferred qualifications

• Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).
• Experience with data visualization libraries like Plotly or matplotlib and experience contributing to and collaborating within a shared codebase.
• Experience with cryogenic testing.
• Familiarity with PCB design principles.and Understanding of mechanical design fundamentals.
• Familiar with understanding electrical noise and measurement sensitivity.
• Proficiency in data analysis using tools such as Python, JMP, ReliaSoft, or similar.

About the job

As a part of the Quantum Systems Yield Engineer, you will drive development and execution of comprehensive testing to characterize the yield and reliability of critical components and assemblies. In this role, you will develop innovative test methods and custom fixtures for both room temperature and cryogenic environments, collaborate closely with software and hardware teams, ensure that test and yield data remains traceable and accessible to facilitate rapid decision‑making. You will partner with multiple QAI teams to keep our test coverage up to date with rapid hardware advancements.The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, 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.Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .