About the role
AI summarisedSenior leadership role within an R&D fab environment responsible for strategic yield improvement, defect reduction, and quality control systems. Leads a team of engineers and technicians, owns SPC/FDC/APC systems, drives customer quality initiatives, and balances R&D flexibility with manufacturing repeatability.
ResearchOnsiteInstitute of Microelectronics
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
- 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
Requirements
- 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 Sigma methodologies (Black Belt certification highly preferred)
- Strong leadership, presentation, and interpersonal skills, with the proven ability to influence and align technical and executive stakeholders