Systems Yield Engineer, Quantum AI
About The Position
As a Systems Yield Engineer in Quantum AI, you will drive the development and execution of comprehensive testing to characterize the yield and reliability of critical components and assemblies. You will develop test methods and custom fixtures for room-temperature and cryogenic environments, collaborate with software and hardware teams, and help ensure test and yield data is traceable and accessible for rapid decision-making. You will partner with multiple Quantum AI teams to keep test coverage current as hardware advances. Google Quantum AI’s mission is to build a large-scale quantum computer capable of complex, error-corrected computations and to unlock solutions to problems that are intractable for classical computers. Its roadmap focuses on advancing quantum computing capabilities and enabling meaningful applications.
Requirements
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field such as Optics, Sensors, or Audio/DSP, or equivalent practical experience.
- At least 3 years of experience with electrical testing.
- At least 3 years of experience using statistical and data analysis tools.
Nice To Haves
- Master’s degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field such as Optics, Sensors, or Audio/DSP.
- Experience with data visualization libraries such as Plotly or matplotlib, and experience contributing to and collaborating within a shared codebase.
- Experience with cryogenic testing.
- Proficiency in data analysis using tools such as Python, JMP, ReliaSoft, or similar.
- Familiarity with PCB design principles and mechanical design fundamentals.
- Familiarity with electrical noise and measurement sensitivity.
Responsibilities
- Specify, design, and maintain mechanical, electrical, and thermal test fixtures for component, sub-assembly, and system testing.
- Develop test methods for room-temperature and cryogenic environments.
- Partner with software and hardware teams to ensure test and yield data is traceable and accessible for fast decision-making.
- Perform data analysis to support new tests and root cause analysis.
- Work with internal hardware teams and vendors to establish pass/fail criteria and automate test analysis.
Benefits
- 15% bonus target
- Equity
- Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
