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Minimum qualifications:

+ Bachelor's degree in materials science, physics, chemistry, spectroscopy, or a related field.

+ 3 years of experience in research and development with material process and analysis in semiconductor fabrication field in a clean room environment.

+ Experience in surface treatment and analysis using different sources and techniques.

+ Experience in handling vacuum and ultra-high-vacuum equipment.

Preferred qualifications:

+ PhD degree in materials science, physical chemistry, physics, spectroscopy, or cross trained related fields, or equivalent practical experience.

+ 5 years of experience in research and development or production environments with surface treatment and analysis skills in the semiconductor fabrication field.

+ Experience in handling vacuum and ultra-high-vacuum equipment for etching, cleaning, treatment, and analyzing surface/interface chemistry and structures.

+ Experience with data analysis software, process control, and SOP writing.

+ Excellent communications and presentation skills.

Google Quantum AI's mission is to build and unlock solutions to problems, and the team's roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.

As a hardware engineer, you will bring your surface analysis experience to help optimize fabrication processes using characterization techniques. The advanced investigative techniques, such as AFM, AFM-IR, SIMS (D-SIMS and TOF-SIMS), TDS, XPS, SEM/EDX, will be your key tools in accomplishing your daily tasks. You will also be comfortable with developing prototypes for surface treatment (using plasma and ion-beams) with in-situ analysis devices, maintaining, and stabilizing the process flow and equipment. This role is crucial to our success as we continue to improve the performance, coherence, and reliability of our devices.

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 $147,000-$216,000 + 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 (https://careers.google.com/benefits/) .

+ Develop strategy and detailed characterization techniques and procedures for thin films, surface defects, surface/interface chemistry, and materials structures.

+ Design and execute experiments using instruments such as AFM, AFM-IR, SIMS (D-SIMS and TOF-SIMS),TDS, XPS, SEM/EDX, including data analysis.

+ Design and execute the design of experiments (DOEs) for surface treatment and analysis processes to reduce surface contamination and defects.

+ Work with device and fabrication teams to correlate analysis results with device performance, fabrication procedures, and co-develop strategies for device performance improvements.

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.