Intern - Chemical Mechanical Planarization Process Engineering

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Department Advanced Technology and Solutions, Process Equipment Engineering, Chemical Mechanical Planarization Project Title AI-Enabled Chemical Mechanical Planarization Process Optimization and Equipment Characterization Project Description The intern will undertake a structured engineering project focused on Chemical Mechanical Planarization process optimization, equipment characterization, and manufacturing excellence within a semiconductor manufacturing environment. The project will provide practical exposure to process and metrology data analysis, statistical methods, process capability assessment, material or equipment qualification, and Artificial Intelligence-Enabled engineering workflows. The intern will collaborate with cross-functional engineering teams to develop and evaluate a solution that improves process performance, yield, cost efficiency, engineering productivity, or data accessibility. Objective of the Project Analyze Chemical Mechanical Planarization process, metrology, equipment, and manufacturing data to identify trends and improvement opportunities. Apply statistical and AI-Assisted methods to evaluate process stability, capability, and performance. Develop a dashboard, analytics model, or automation solution that improves engineering productivity or data accessibility. Generate engineering recommendations for process optimization, equipment characterization, or qualification activities. Opportunities for Full Time Employment Interns may be considered for future internship or full-time employment opportunities based on business requirements, available positions, and the applicable recruitment process. Project Scope Analyze Chemical Mechanical Planarization process, metrology, equipment, and manufacturing datasets using statistical and AI-Assisted analytical methods. Conduct process characterization, capability assessment, and evaluation of selected materials, consumables, or equipment changes. Investigate a defined process-performance challenge with process, equipment, quality, and manufacturing stakeholders. Develop and evaluate an improvement that advances process stability, yield, cost efficiency, engineering productivity, or data visibility. Learning Opportunities Gain practical exposure to Chemical Mechanical Planarization processes, equipment, metrology, and semiconductor manufacturing integration. Learn process characterization, statistical analysis, process capability assessment, and qualification methodologies. Develop familiarity with Artificial Intelligence, machine learning, data visualization, automation, and AI-Enabled engineering workflows. Collaborate with cross-functional engineering teams and communicate technical findings to relevant stakeholders. Deliverables A technical report covering the project objectives, methodology, analytical results, conclusions, and engineering recommendations. Documented process-characterization, process-capability, or qualification results that inform engineering decisions. An AI-Enabled dashboard, analytics model, or automation tool that improves engineering productivity or data accessibility. A final presentation outlining the project outcomes, demonstrated impact, identified limitations, and future improvement opportunities. The internal internship programme identifies project presentations to department leaders and interim or final reports and presentations as internship completion components. Impact of the Project Improve the visibility and interpretation