Statistical Process Control (SPC) Specialist

Responsibilities

• Operate AI-based statistical process control (SPC) systems to manage quality and manufacturing processes
• Identify key process factors based on mechanism analysis and improve data integrity
• Analyze and optimize semiconductor process and equipment data characteristics
• Execute FDC (Fault Detection and Classification) activities based on statistical management
• Drive and execute Big Data-driven AIX (AI Transformation) projects to optimize manufacturing quality

Requirements

• Bachelor's degree or higher in Engineering (Electronics, Chemistry, Materials, Industrial, Statistics, or Semiconductor)
• Experience conducting projects using semiconductor process or equipment data
• Proficiency in Python coding and SQL for Big Data analysis
• Strong statistical analysis skills using packages such as Minitab or JMP
• Understanding of SPC/FDC systems and equipment interface data analysis
• Six Sigma Black Belt level statistical knowledge
• Strong reporting and presentation skills

Preferred Qualifications

• 4+ years of experience in semiconductor or display process/equipment technology sectors
• Proven track record of executing AIX projects using semiconductor process/equipment data
• Extensive experience in projects utilizing AI and Digital Transformation (DT) for process and equipment optimization

About the Company

SK siltron is a leading global provider of semiconductor wafer solutions, dedicated to driving innovation in advanced materials and manufacturing excellence.