Quantum Systems Yield Engineer - Cryogenic Testing & Data

Google

Goleta (CA)

On-site

USD 132,000 - 189,000

Full time

14 days+
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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

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.

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