Systems Yield Engineer, Quantum AI

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

Share Systems Yield Engineer, Quantum AI

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• 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.

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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

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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.