Hardware Manufacturing and Operations Engineer, Quantum AI

Minimum qualifications

• Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Physics, or a related field, or equivalent practical experience.
• 5 years of experience in electronics or semiconductor testing and associated data management.
• Experience with manufacturing or testing in electronics or semiconductors.
• Experience working with test data, production data, and data collection, availability and presentation.

• Experience in volume manufacturing of electronic components or connectors.
• Experience with large volume Test Data Management (TDM) systems or Manufacturing Execution System (MES).
• Experience working in cryogenic vacuum environments, thermal cycling, and related issues.
• Experience in building and managing vendor supply chains, including design for manufacturability, quality control, and Six Sigma.
• Knowledge of superconducting circuits or quantum computing hardware (e.g., superconducting qubits, spin qubits, or trapped ions).

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

As a Hardware Manufacturing and Operations Engineer, you will strengthen the teams infrastructure for managing data from research, development, testing and production efforts. You will collaborate with researchers and engineers on the Quantum AI team to help develop technologies needed to scale-up our next generations of quantum computers. With data governance and hardware testing knowledge, you will be identifying and implementing processes for test and production data management, availability and visibility and leading moderately complex cross-functional data initiatives.

In this role, you will bring up our data integration, analytics and governance across multiple research and production work streams. You will develop the understanding needed to improve superconducting quantum hardware system performance, and engineering expertise to facilitate hardware development to enable the rapid increase in the number of qubits in alignment with our strategic roadmap.

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.

The US base salary range for this full-time position is $138,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

• Develop and implement data collection, managing governance processes that are in-line with the needs of our hardware research, development and production testing efforts.
• Work with other Researchers and Engineers on the team to create and execute data collection plans for a variety of research and production testing efforts.
• Work cross-team (e.g., with Software Engineers) to implement software/database infrastructure and tools to enable scalability of our data management systems, while maintaining data context, quality and accessibility.
• Provide recommendations to improve data integration and governance practices within our team and across teams to help improve data quality, solve problems faster, enhance collaboration, and reduce risk.

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.