Have clear understanding about semiconductor manufacturing assembly and test basic requirement to production line such as ESD/5S/C.C. S and follow these requirements strictly and find out problems to report to production technicians in time.
Operate equipment or work in other positions according to the specification and/or working instruction to pursue the work correctly.
Comply with IATF16949 & EHS requirement base on IATF16949 & EHS manual and specification.
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Yield & Defect Analysis: Develop and maintain ML models to identify root causes of package failures (e.g., wire sweep, voiding, or delamination) using sensor and metrology data.
CV for Automated Inspection: Enhance and deploy Computer Vision (CNN-based) models for Automated Optical Inspection (AOI) to reduce "False Calls" and "Escapes" on the production line.
Production Deployment: Transition models from local environments (Jupyter/Python) into the factory’s execution system using Docker and REST APIs.
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We are seeking an experienced Automation Manager to lead the factory automation strategy, system ownership, and operational reliability across manufacturing operations.
This role is responsible for defining the automation roadmap, driving lights-out manufacturing initiatives, ensuring high system uptime, and leading a team of automation engineers. The Automation Manager will serve as the key interface between Operations, IT, Engineering, and external vendors to ensure seamless system integration and long-term scalability.
Define and execute a 3-year Factory Automation roadmap aligned with business and capacity expansion plans.
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Yield & Defect Analysis: Develop and maintain ML models to identify root causes of package failures (e.g., wire sweep, voiding, or delamination) using sensor and metrology data.
CV for Automated Inspection: Enhance and deploy Computer Vision (CNN-based) models for Automated Optical Inspection (AOI) to reduce "False Calls" and "Escapes" on the production line.
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Design, develop, modify, and integrate hardware and software solutions to enhance operational efficiency through improvements in OEE, quality, and overall productivity.
Implement and deploy automation technologies, including robotics, automated vision systems, material-handling robots, and AI/Machine Learning software, into production IoT ecosystems.
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