responsible for developing, optimizing, and maintaining Automated Optical Inspection (AOI) systems used in PQFN semiconductor assembly processes. The role focuses on ensuring high inspection accuracy, minimizing false calls, improving defect detection capability, and supporting continuous yield and quality improvement. The engineer works closely with Process Engineering, Manufacturing, Equipment Engineering, and Quality teams to ensure AOI systems effectively monitor critical assembly processes while supporting production efficiency.
Equipped with critical and systemic thinking – ability to identify and drive effective but simple quality improvement plan and solutions.
Bachelor Degree in engineering, preferably in material, chemical or mechanical engineering
At least 5 years of leadership roles in Quality Management System (QMS), preferably with actual product/process/customer quality management experience.
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Candidate must possess Degree in Electronics/Electrical Engineering and Mechanical or equivalent.
Basic technical knowledge in Electronic/Semiconductors.Familiar with SPC, FMEA, DOE, TPM, OCAP, JMP, RCA, Control Plan, Working Instruction, Predictive Maintenance.
responsible for developing, optimizing, and maintaining Automated Optical Inspection (AOI) systems used in PQFN semiconductor assembly processes. The role focuses on ensuring high inspection accuracy, minimizing false calls, improving defect detection capability, and supporting continuous yield and quality improvement. The engineer works closely with Process Engineering, Manufacturing, Equipment Engineering, and Quality teams to ensure AOI systems effectively monitor critical assembly processes while supporting production efficiency.
responsible for developing, optimizing, and maintaining Automated Optical Inspection (AOI) systems used in PQFN semiconductor assembly processes. The role focuses on ensuring high inspection accuracy, minimizing false calls, improving defect detection capability, and supporting continuous yield and quality improvement. The engineer works closely with Process Engineering, Manufacturing, Equipment Engineering, and Quality teams to ensure AOI systems effectively monitor critical assembly processes while supporting production efficiency.
Candidate must possess Degree in Electronics/Electrical Engineering and Mechanical or equivalent.
Basic technical knowledge in Electronic/Semiconductors.Familiar with SPC, FMEA, DOE, TPM, OCAP, JMP, RCA, Control Plan, Working Instruction, Predictive Maintenance.
Candidate must possess Degree in Electronics/Electrical Engineering and Mechanical or equivalent.
Basic technical knowledge in Electronic/Semiconductors.Familiar with SPC, FMEA, DOE, TPM, OCAP, JMP, RCA, Control Plan, Working Instruction, Predictive Maintenance.
Candidate must possess Degree in Electronics/Electrical Engineering and Mechanical or equivalent.
Basic technical knowledge in Electronic/Semiconductors.Familiar with SPC, FMEA, DOE, TPM, OCAP, JMP, RCA, Control Plan, Working Instruction, Predictive Maintenance.
Candidate must possess Degree in Electronics/Electrical Engineering and Mechanical or equivalent.
Basic technical knowledge in Electronic/Semiconductors.Familiar with SPC, FMEA, DOE, TPM, OCAP, JMP, RCA, Control Plan, Working Instruction, Predictive Maintenance.
responsible for developing, optimizing, and maintaining Automated Optical Inspection (AOI) systems used in PQFN semiconductor assembly processes. The role focuses on ensuring high inspection accuracy, minimizing false calls, improving defect detection capability, and supporting continuous yield and quality improvement. The engineer works closely with Process Engineering, Manufacturing, Equipment Engineering, and Quality teams to ensure AOI systems effectively monitor critical assembly processes while supporting production efficiency.
responsible for developing, optimizing, and maintaining Automated Optical Inspection (AOI) systems used in PQFN semiconductor assembly processes. The role focuses on ensuring high inspection accuracy, minimizing false calls, improving defect detection capability, and supporting continuous yield and quality improvement. The engineer works closely with Process Engineering, Manufacturing, Equipment Engineering, and Quality teams to ensure AOI systems effectively monitor critical assembly processes while supporting production efficiency.
Familiarity with material analysis techniquessuch asFTIR, XPS, and ToF-SIMS is an advantage.
Bachelor’s degree or higher in Material Science, Physics, Mechanical, or Chemical Engineering, or equivalent.
Knowledge of analytical tools such as Parametric Analyzer, Keithley Meter, TDR, EOTPR, SEM/EDX, FIB, FTIR, X-Ray, Acoustic Imaging, and IR Imaging tools.
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