Back to jobsBachelor's degree in Electrical Engineering, Material Science, Physics or equivalent; Master's or PhD preferred.
2+ years or more relevant work experience.
Experience in semiconductor research or manufacturing desirable, but not required. Recent college graduates welcome to apply
Direct experience with automated optical inspection highly desirable
Experience in automated defect classification and/or machine learning for visual defect binning desirable
Experience with statistical process control (SPC) and design of experiments (DoE)
Strong communication, presentation and collaboration skills required
Demonstrated problem-solving methods and experience
Experience with data analysis tools and techniques such as Matlab, Python, Spotfire or similar software packages
Scripting/programming experience preferred; SQL queries, data analysis scripting
Must be proficient in MS Excel, PowerPoint and windows-based software
