Quality Control Manager (Research)

GMP TECHNOLOGIES (S) PTE LTD; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading semiconductor company in Singapore is seeking a skilled Quality Engineer to develop a strategic roadmap for yield improvement and oversee quality assurance. The ideal candidate will have over 10 years of experience in the semiconductor industry, with proven leadership in process control and quality methodologies. Responsibilities include managing customer audits, conducting root-cause analysis, and mentoring a team of engineers. Strong knowledge in statistical process control and related techniques is essential for this role.

Qualifications

• 10+ years of experience in the semiconductor industry, with at least 5 years in a management role.
• Deep technical knowledge of semiconductor fabrication processes.
• Expert-level knowledge of SPC, DOE, FMEA, and Lean/Six Sigma.

Responsibilities

• Develop a strategic roadmap for yield improvement and defect reduction.
• Lead design and maintenance of advanced statistical control systems.
• Serve as the technical expert and primary quality interface for customers.

Skills

Statistical Process Control (SPC)

Quality Assurance

Lean/Six Sigma methodologies

Leadership

Process Control

Education

Degree in Engineering, Materials Science, Chemical Engineering

Tools

Statistical analysis software

Metrology and inspection tools

Job description

Responsibilities

• Develop and drive a strategic roadmap for yield improvement 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.
• 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.
• 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.
• 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.
• 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).

To find out more about this opportunity, please contact Lionel Liew at [e-mail].

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd| EA Licence: 11C3793| EA Personnel: Lionel Liew |Registration No: R1330693

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