Responsibilities
- Support initiatives for next-generation engineering data analysis (EDA), including Industry 4.0 or smart manufacturing, and AI & machine learning applications
- Enhance engineering data analysis (EDA) systems for Manufacturing, Yield, and Defect Management
- Advanced process control (APC) initiatives for manufacturing support
- Work with Technology Development, Production Engineering, Quality and Application Engineering teams to analyze and provide actionable data to mitigate technology and manufacturing risks
- Work with internal stakeholders and external vendors to execute key projects
- Perform any ad-hoc job scope as assigned by superior
Requirements
- Masters/Bachelor's in Engineering/Physics/Computer Science or any equivalent discipline
- Min 5 years of relevant experience, preferably in the semiconductor and wafer fabrication industry
- Expertise in semiconductor manufacturing systems, including manufacturing execution systems (MES), and related engineering data analysis (EDA) platforms for yield learning and process controls
- Experience setting up customizable dashboards and visualization tools
- Background supporting NPI, process optimization, yield, and defect metrology programs
- Knowledge and experience with statistical methods, including Lean and Six Sigma applying SPC & DOE
Teh Hui Tian, Zoe EA License No. 02C3423 Personnel Registration No. R2089915
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