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Quality Manager

RM 5,000 - RM 5,999 / Per Mon

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1. Develop, implement, and oversee the quality assurance (QA) systems for CNC machining and equipment assembly processes, ensuring adherence to semiconductor manufacturing standards. 2. Collaborate with production and engineering teams to define product specifications and quality standards in alignment with customer and regulatory requirements. 3. Manage the inspection and testing of CNC-machined parts and assembled equipment, verifying compliance with technical specifications through accurate measurement and data collection. 4. Lead and manage a team of quality inspectors, technicians, and engineers, providing guidance, training, and oversight to ensure consistent and high-quality output. 5. Perform root cause analysis for any quality defects, using measurement data and process reviews to implement corrective and preventive actions (CAPA). 6. Ensure compliance with semiconductor industry standards such as ISO 9001, as well as customer-specific quality requirements. 7. Monitor and report on key quality metrics (e.g., defect rates, yield, rework rates), implementing continuous improvement initiatives based on data from quality measurement systems. 8. Conduct internal audits of CNC machining and equipment assembly processes, ensuring adherence to Standard Operating Procedures (SOPs) and quality management systems. 9. Interface with customers and suppliers to address quality concerns, managing complaints and non-conformities, and ensuring timely resolution. 10. Oversee first article inspections (FAI) and other customer-required qualification processes, utilizing precision measurement machines to ensure full compliance. 11. Develop and maintain comprehensive documentation and records for all quality control processes, inspections, audits, and corrective actions. 12. Stay up-to-date with advancements in quality measurement technology and implement new tools and techniques to improve quality assurance processes. 13. Lead continuous improvement initiatives using methodologies such as Six Sigma or Lean to optimize production processes and reduce waste.