Systems Yield Engineer, Quantum AI

Systems Yield Engineer, Quantum AI

Share Systems Yield Engineer, Quantum AI

corporate_fare Google place Goleta, CA, USA

Mid

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

Share Systems Yield Engineer, Quantum AI

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.

• Proficiency in data analysis using tools such as Python, JMP, ReliaSoft, or similar.

• Familiarity with PCB design principles.and understanding of mechanical design fundamentals.

• Familiarity with electrical noise and measurement sensitivity.

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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

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.

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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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

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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.

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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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.