Advanced Automation Projects: Involve in Advanced Automation projects in integration, testing, performance analysis, system safety and operation run to achieve Advanced Automation.
Automation Engineering Experience: Carry out day-to-day tasks of an Automation Engineer, gaining firsthand exposure to factory automation operations and workflows.
Hands-On Project Participation: Aid in the performance of assignments required, building practical skills through active involvement in real engineering tasks.
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Oversee major technical programs and pilot projects, ensuring that design and architecture are scalable, secure, and aligned with both operational requirements and strategic objectives
Build, manage, and continuously evolve the multi-year autonomous factory roadmap, including digitalization, automation, and operational capability milestones
Lead the creation and evolution of a big picture multi-year roadmap for autonomous factory initiatives, outlining key technical milestones and platform developments
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Minimum 3 years of experience in semiconductor automation systems with focus on Lights OUT automation, factory system architecture, and software development
Proven experience with Lights OUT Manufacturing, MCS, AMR/OHV, and stocker systems.
Strong software development background (e.g. Java, Python, C#, Docker and Microservices). Knowledge in VDA 5050 will be an advantage.
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Collaborate with cross-functional teams to implement changes and optimize system performance, which includes applying optimization models using operations research, linear programming, and reinforcement learning
Develop and maintain custom software applications, scripts, and tools to support and improve simulation modeling, data analysis, and visualization
Collect, analyze, and visualize data from simulation models, manufacturing systems, and other sources to inform decision-making and drive process improvements
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Collaborate with cross-functional teams to implement changes and optimize system performance, which includes applying optimization models using operations research, linear programming, and reinforcement learning
Develop and maintain custom software applications, scripts, and tools to support and improve simulation modeling, data analysis, and visualization
Collect, analyze, and visualize data from simulation models, manufacturing systems, and other sources to inform decision-making and drive process improvements
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Drive hands-on design evaluation, hardware validation, first article assessment, debug, documentation, and release-to-production activities for wafer test hardware
Support innovation in wafer-level test hardware for power, mixed-signal, discrete, and wide-bandgap semiconductor technologies, including high-current, high-voltage, thermal, and precision measurement applications
Work closely with test engineering, product engineering, equipment engineering, manufacturing, quality, safety, and external suppliers to ensure hardware readiness for engineering builds, pilot runs, and production ramp
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