Job Description

Job Scope:


Driving yield improvement, process stability, risk reduction, and customer confidence through data integrity and robust analytics. To develop and improve semiconductor in product quality assurance activities via Statistical technique to meet the organization goal and customer quality requirements. To host Statistical Process Control(SPC) review meeting and drive Continuous Improvement Program across operation To maintain and Support Quality Management System and Quality Planning for operation effectiveness. Coordinator for plant wide SPC activities Setup new SPC control /chart/rule in the shopfloor and monitoring Quarterly Control Limit review Conduct capability studies (CPK, PPK, GR&R) to evaluate process robustness. Weekly CPK performance review Establish SBL/SYL control Setup error proofing control Setup SPC Realtime monitoring Dashboard Use statistical modeling to predict potential reliability risks Design of Experiments (DOE) & Predictive Modeling Provide statistical justification during customer and certification audits Develop sampling plans (MIL-STD, ISO 2859, C=0, etc.) for incoming, in-process, and outgoing inspections. Partner with CQE, QA, Operations, and R&D teams to define data-driven decision-making processes. Provide training to engineers and operators on statistical tools (JMP, Camline SPC). Ensure departmental KPI was achieve. Involved in or initiate process improvements, projects, task forces, CIP meetings etc. To develop and maintain operational specifications. Support New project engagement during product qualification and deployment Develop and maintain QA databases, workflow and controls To perform internal Audits and ensure operations compliance.
Job requirements:


Bachelor's or Master's degree in Statistics, Applied Mathematics, Data Science, Industrial Engineering, Quality Engineering, or related field Preferably 5 years' semiconductor working experience in Quality Control Assurance field or related experience, related to Semiconductor Manufacturing or wafer industries Strong knowledge of statistical methods: SPC, DOE, hypothesis testing, regression, ANOVA, capability analysis, sampling plans. Understanding of 5 Core Tool (APQP,PPAP,FMEA,SPC,MSA) will be an added advantage Certified Six Sigma Green Belt / Black Belt * Good interpersonal, communication and presentation skill