Intern- MSB Process Integration Engineer
Micron Technology · MSB, Singapore
onsiteinternshipFresher / Intern
posted 1d
Sign in to applyOur 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. Location Singapore Department MSB Process Integration Engineering Project Title Semiconductor Manufacturing Reject Reduction Through Process Variability Analytics Project Description The intern will participate in a structured project focused on improving semiconductor manufacturing reject rates through process variability reduction. The project will provide practical exposure to semiconductor packaging, Assembly and Test processes, and manufacturing data analytics. Under appropriate guidance, the intern will analyze inline signals, process parameters, and test results to identify patterns and potential contributors to process variability and yield loss. The intern will also explore the responsible application of Artificial Intelligence and AI-Enabled analytical tools to improve the efficiency, quality, and effectiveness of project analysis. Objective of the Project The project aims to: Identify potential sources of process variability and yield loss. Improve the analysis of inline signals, process data, and test results. Determine relationships between process conditions and manufacturing rejects. Develop data-driven recommendations for engineering evaluation. Explore AI-Enabled approaches for manufacturing data analysis. Opportunities for Full Time Employment Consideration for future internship or full-time employment opportunities will be subject to business needs, position availability, and the applicable selection process. Project Scope The intern will be given the opportunity to: Learn about semiconductor packaging, Assembly and Test processes, and common sources of process variability and yield loss. Analyze inline signals, process parameters, manufacturing information, and test results using appropriate analytical tools. Apply statistical and data analytics techniques to identify trends, correlations, and potential contributors to reject rates. Evaluate AI-Enabled tools and insights that may enhance project analysis while complying with organizational and legal requirements. Document the methodology, findings, limitations, and recommended next steps for engineering review. Learning Opportunities The intern will have the opportunity to: Gain practical exposure to semiconductor packaging and high-volume manufacturing. Learn how process variability and yield loss are investigated using manufacturing and test data. Apply programming, statistical analysis, visualization, and structured problem-solving techniques. Build proficiency in the responsible use of Artificial Intelligence and AI-Enabled analytical workflows. Strengthen technical documentation, stakeholder communication, and cross-functional collaboration skills. Deliverables The intern is expected to deliver: A structured analysis of relevant inline signals, process parameters, and test results. Identification of key patterns and potential contributors associated with process variability and reject rates. Analytical models or visualizations that communicate findings clearly. Documented recommendations and proposed next steps for engineering evaluation. A final technical report and presentation covering the methodology, findings, limitations, and recommendations. Impact of the Project The project is intended to: Improve visibility into manufacturing variability and potential sources of yield loss. Enhance data analysis for semiconductor Assembly and Test concerns. Provide data-driven insights for process stability and quality improvement. Strengthen the application of adv