Device Backend Technician, Quantum AI
Listed on 2026-08-31
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IT/Tech
Data Scientist, Hardware Engineer
Device Backend Technician, Quantum AI
Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability.
The Quantum Device Backend team is responsible for delivering the highest quality quantum processors to packaging. This includes die leveling cleaning, imaging die, inspecting die, hybridizing devices, and post measurement after hybridization. Our team provides die preparation and device build services and also focuses on developing robust bump bonding processes. You will work as part of the backend team and be responsible for delivering the highest quality quantum processors to packaging.
Your backend processing responsibilities will include die preparation and cleaning, imaging and inspecting dies, documenting defect types, generating die defect reports, and managing die and device inventory. Additionally, you will hybridize devices using a flip chip bump bonder, measure post-hybridization parameters like alignment and chip gap, and work closely with backend engineers to develop die preparation and hybridization processes while strictly following cleanroom and safety protocols.
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: $99000 - $140000 (USD) + 15% bonus target + equity + benefits
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