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.
- 5 years of experience maintaining and repairing semiconductor fabrication equipment.
- 5 years of experience with photolithography, vacuum/plasma tools, or packaging equipment (e.g., wire bonders).
- Ability to work in a cleanroom environment wearing full Personal Protective Equipment (PPE).
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 Etch (ICP/RIE) and Deposition (PVD/Evaporation) systems, including high-vacuum technology, RF power supplies, and toxic gas delivery systems.
- Experience with electro-mechanical measurements (oscilloscopes, generators, calipers, etc.) and CAD software (KiCad, Solidworks, AutoCAD).
- Proficiency in troubleshooting vacuum, pneumatic, mechanical, electrical, and software systems, ideally down to the component level.
- Ability to read complex schematics (electrical, pneumatic, P&ID) and perform component-level repairs on electronics, robotics, and vacuum sub-systems.
About the jobAs a part of the Equipment Engineering team, you will play a pivotal role in ensuring the seamless operation and sustainability of the manufacturing equipment utilized in the production of high-quality quantum devices in a dependable and efficient manner.
In this role, your mission involves equipment Installation and qualification, bear the responsibility for the proper installation and qualification of new equipment, ensuring it aligns with the required specifications and standards. You will execute routine maintenance procedures to forestall equipment failures and downtime, encompassing regular inspections, cleaning, and the replacement of parts as necessary. In the event of equipment issues, our engineering team intervenes to diagnose problems, execute essential repairs or cooperate with vendors, minimizing disruptions to production. You will collaborate with other teams, such as process engineers, to optimize equipment performance for the efficient and high-quality manufacturing of quantum devices, implementing upgrades or modifications to existing equipment to augment capabilities, enhance efficiency, or meet new production requirements. You will maintain detailed records of equipment performance, maintenance activities, and any modifications crucial for compliance, analysis, and future reference. You will provide comprehensive training to our personnel on the proper usage and maintenance of equipment, ensuring safety and optimal performance, actively seek opportunities for continuous improvement in equipment reliability, efficiency, and overall manufacturing processes.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: $159000 - $230000 (USD) 15% bonus target equity benefits.
Learn more about benefits at Google .
Responsibilities- Perform complex preventative maintenance, diagnostics, and repairs to ensure the maximum uptime and optimal performance of critical fabrication tools.
- Lead the scoping, evaluation, and procurement of new process equipment tailored for quantum manufacturing, and drive the qualification of these tools.
- Manage equipment installations, retrofits, and upgrades, serving as the primary technical liaison with external vendors to ensure effective project execution.
- Support operations across multiple local facilities, including shared research labs, ensuring consistent equipment standards and seamless workflow between sites.
- Analyze tool reliability data to optimize maintenance schedules, enhance equipment availability, and support process engineering requirements.
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