Bachelor's or master's degree in Electrical Engineering, Computer Engineering, Materials Science, Computer Science, Data Science, or Chemical Engineering
Ability to apply knowledge of semiconductor devices, process integration, memory architecture, and device operation to analyze electrical failures and yield issues
Ability to perform electrical and failure analysis as defined by area skill guidelines
Experience conducting advanced data analysis, statistical evaluation, and data visualization to support yield investigations and failure analysis results
Proficiency with data analytics, scripting, automation, or programming tools (e.g., Python, SQL, JMP, Power BI, Tableau, or equivalent)
Ability to leverage AI tools, large language models, and automation technologies to improve data processing, engineering productivity, investigation efficiency, and technical reporting
Ability to summarize investigation findings, including potential root cause and recommended actions, in a concise and technically sound report
Ability to operate lab equipment safely and perform required tasks and basic troubleshooting