
Fabrication Wet Etch Engineer, Quantum AI
Goleta, CAJob$132–189K/yrSeen todaySeen in employer's feed today
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Job overview
As a Hardware Engineer on Google Quantum AI’s Fabrication team in Goleta, the engineer develops, optimizes, and scales cleanroom wet chemical and solvent processes for superconducting quantum processors. The role leads process development and production sustaining across wet processing equipment, designs experiments to improve process windows and reduce defects and cycle time, qualifies equipment, and collaborates with fabrication teams to transition processes from research into production.
Skills & qualifications
Skills
Qualifications
Full job description
Fabrication Wet Etch Engineer, Quantum AI
Share Fabrication Wet Etch 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 Fabrication Wet Etch Engineer, Quantum AI
Minimum qualifications:
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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.
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2 years of experience in cleanroom semiconductor fabrication.
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2 years of experience with wet chemical etching, solvent liftoff, photoresist strip, or wafer cleaning processes and equipment.
Preferred qualifications:
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Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).
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4 years of experience developing wet etch, solvent liftoff, or wafer cleaning processes in semiconductor research or manufacturing.
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Experience qualifying and managing automated wet stations, acid or solvent benches, and chemical filtration or delivery systems.
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Experience with defect and surface metrology (SEM, AFM, ellipsometry, particle inspection) and data analysis (Python, SQL, or JMP).
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Experience with design of experiments (DOE), statistical process control (SPC), manufacturing execution systems (MES), or superconducting device fabrication.
About the job
Google Quantum AI is building quantum computing for otherwise unsolvable problems. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.
As a Hardware Engineer on the Quantum AI Fabrication team in Goleta, California, you will develop, optimize, and scale cleanroom wet chemical and solvent processes used to build superconducting quantum processors. Quantum devices are sensitive to surface interfaces, oxides, and microscopic defects, making wet processing critical to device performance and yield. In this role, you will lead process development and production sustaining across automated solvent stations, acid and base wet benches, and wafer cleaning systems for metal liftoff, photoresist strip, surface preparation, and wet chemical etching. You will design experiments to widen process windows, reduce defects and cycle time, specify and qualify new wet process equipment, and collaborate with lithography, thin film, dry etch, metrology, and operations teams to transition processes from research into production.
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
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Develop, optimize, and sustain cleanroom wet etch, solvent liftoff, photoresist strip, and wafer cleaning processes for superconducting quantum devices.
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Specify, procure, qualify, and manage automated and benchtop wet processing equipment from installation through production release.
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Monitor statistical process control (SPC) trends, lead root cause investigations for process or equipment excursions, and reduce defects.
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Collaborate across dry etch, thin film deposition, photolithography, and metrology teams to integrate and support multi-module fabrication flows.
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Establish process change controls, write clear standard operating procedures (SOPs), and train cleanroom technicians on development and production tools.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
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/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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.
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.
How this job compares
Set against the 2,907 open Hardware Engineer jobs on Olive Jobs, counted November 11, 2026.
- Pay
- This posting$132–189K/yr
- California median$145–215K/yr952 salary ranges
- US median$133–202K/yr2,182 salary ranges
This range's midpoint, $161K, is 10% below the California median midpoint ($179K) — in the middle half of Hardware Engineer salary ranges in California.
- Openings
- Olive Jobs lists 1,226 open Hardware Engineer jobs in California and 2,907 across the US. 1% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 2 years of experience — less than three in four Hardware Engineer postings that state a minimum ask for (median 5 years, across 2,400 postings).
- Education
- 1,578 of the 2,907 open Hardware Engineer jobs (54%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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