Job Description:

Leading a team in responsible for the strategic design, implementation, and continuous improvement of all quality and process control systems within Fab Operations. This role is critical for ensuring world-class product yield, reducing defectivity, and maintaining strict compliance with customer specifications, internal quality standards, and relevant industry certifications. 

Key Responsibilities:

• Develop and drive a strategic roadmap for yield improvement and defect reduction across critical process modules. 
• Lead the design and maintenance of advanced, real-time Statistical Process Control (SPC), Fault Detection and Classification (FDC), and Advanced Process Control (APC) systems to stabilize and optimize all fabrication steps. 
• Cross-contamination management to achieve balance between research and development flexibilities in integration runsheet flow path vs process tools health and process repeatability. 
• Small volume prototype protocol and product and process control plan alignment and set-up with requestor, process margin runs till demonstration of product SPC repeatability and line defect and electrical yield. 
• Serve as the technical expert and primary quality interface for key customers, leading customer audits, addressing quality-related concerns, and driving customer-specific quality improvement plans. 
• Problem Solving: Direct and oversee high-level, cross-functional root-cause analysis (RCA) and corrective and preventive action (CAPA) teams for major process excursions, non-conformances, and field returns, utilizing methodologies like 8D or Six Sigma 
• Metrology & Inspection: Oversee the selection, qualification, and maintenance of all in-line and off-line metrology and defect inspection tools, ensuring measurement system accuracy (Gage R&R) and high data quality. 
• Process Window Definition: Collaborate with Process Integration and R&D teams to define, qualify, and stabilize robust manufacturing process windows for all new product introductions (NPI), ensuring Design for Manufacturability (DFM) principles are met. 
• Data Analytics: Leverage large-scale manufacturing data (Big Data) to identify subtle process drifts, predict failures, and proactively implement controls. 
• Lead, mentor, and manage a team of Quality Engineers, Process Control Engineers, and Technicians, setting performance goals, developing career paths, and fostering a culture of ownership and data-driven decision-making. 
• Collaborate closely with all stakeholders to balance the trade-off between quality stability, process efficiency, and tool uptime. 

Required Qualifications:

• Degree in Engineering, Materials Science, Chemical Engineering, or a related technical field. 
• Preferable 10+ years of experience in the semiconductor industry, with a minimum of 5 years in a leadership/management role focusing on Process Control, Quality Assurance, or Yield Engineering within a Fab environment. 
• Deep technical knowledge of semiconductor fabrication processes in different modules.
• Expert-level knowledge of Statistical Process Control (SPC), Design of Experiments (DOE), Failure Mode and Effects Analysis (FMEA), and Lean/Six Sigmamethodologies (Black Belt certification highly preferred). 
• Strong leadership, presentation, and interpersonal skills, with the proven ability to influence and align technical and executive stakeholders.