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Manage application lifecycle and deliver IT solutions for automated semiconductor manufacturing. Gather requirements, conduct user training and acceptance testing, perform software/hardware maintenance, monitor system performance to prevent downtime, and provide 24/7 standby support. Collaborate with global IT teams and partners; travel and clean-room work required.

Assist in the development of an HBM defect library by documenting electrical/physical failure signatures and creating a user-friendly tracking dashboard.

Lead global facilities programs from initiation to completion, supporting workforce development and document control, managing systems (SharePoint, EDC, SQL), creating project plans, reports and dashboards, coordinating cross-functional stakeholders, driving governance, training, and continuous improvement.

Develop and execute reliability stress tests and qualification plans for HBM products, drive DPM reduction through optimized test flows, perform root-cause analysis using EFA/PFA, recommend process conversions for yield and cost improvements, manage qualification risks, lead cross-functional collaboration, mentor team members, and make technical prioritization decisions to ensure product reliability and manufacturability.

Design and implement cross-platform APIs and test automation for Enterprise SSD validation. Integrate test equipment, define and execute automation strategies, collaborate with cross-functional teams, troubleshoot SSD/software integration, improve validation coverage, and maintain documentation of methodologies and results.

Develop and maintain automation systems for a manufacturing production line using Python and RPA (UiPath). Build Python scripts for data processing, design and simulate RPA workflows, explore API integrations, analyze automation performance, collaborate with engineering and operations, and deliver prototype scripts, pilot workflows, documentation, and improvement recommendations.

The intern will explore NAND CMOS metallisation concepts, engage in reliability studies, and utilize data analytics and AI/ML platforms while documenting insights for continuous process improvement.

As a Computer Vision Engineer, you will develop image processing solutions, apply machine learning techniques, and collaborate on engineering projects to enhance manufacturing innovation.

The intern will develop and refine computer vision models, build a web-based interface for workflow tracking, and model a digital twin of the F10 warehouse in FlexSim to improve warehouse operations and data accuracy.

Evaluate, select, qualify, and hand over advanced semiconductor assembly and packaging equipment. Drive equipment benchmarking, automation enablement (FDC, APC, IoT, AMHS), maintain equipment capability matrices (EMI, TOR), collaborate with suppliers and production for continuous improvement, and support documentation, training, and production readiness.