Hardware Engineer, Surface Science and Engineering, Quantum AI
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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.
About the job
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.Responsibilities
- 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.
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