Intern- F10 Manufacuring Engineer

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. Project Title Diffusion Capacity Optimization Through Constraint Workstation Improvement Project Description This internship provides an opportunity to work on projects focused on improving capacity and operational efficiency within the Diffusion manufacturing area. The intern will analyze manufacturing data, evaluate workstation performance, investigate recurring production constraints, and develop recommendations to improve equipment utilization, manufacturing throughput, and cycle time performance. The project will provide exposure to manufacturing engineering methodologies, capacity management, statistical analysis, and cross-functional collaboration within a semiconductor manufacturing environment. Objective of the Project Analyze Diffusion manufacturing performance and capacity utilization. Identify workstation constraints that impact throughput and cycle time performance. Investigate key sources of capacity loss and evaluate improvement opportunities. Develop data-driven recommendations to improve operational efficiency and manufacturing performance. Opportunities for Full Time Employment Successful interns who demonstrate strong analytical capability, technical aptitude, and collaboration skills may be considered for future internship extensions, graduate opportunities, or full time employment opportunities, subject to business requirements. Project Scope Analyze manufacturing, equipment, and capacity performance data within the Diffusion area. Identify bottlenecks and investigate factors contributing to capacity losses, such as equipment downtime, process holds, maintenance-related events, and product mix constraints. Apply engineering and analytical methodologies including Pareto analysis, Statistical Process Control (SPC), root cause analysis, and capacity modelling. Collaborate with Process Engineering, Equipment Engineering, Manufacturing, and Industrial Engineering teams to evaluate improvement opportunities. Where appropriate, utilize AI-enabled analytics tools to support data analysis and engineering decision-making. Learning Opportunities Gain exposure to semiconductor Diffusion processes and manufacturing operations. Learn how manufacturing engineers manage capacity, cycle time, and equipment performance. Develop practical skills in data analysis, statistical methodologies, and problem solving. Gain experience working with cross-functional engineering teams to evaluate manufacturing challenges. Build technical communication and presentation skills through project reviews and stakeholder engagement. Deliverables Capacity performance assessment of the Diffusion manufacturing area. Engineering analysis of workstation constraints and capacity losses. Evaluation of improvement opportunities and recommended actions. Technical report documenting findings, analyses, and recommendations. Final project presentation summarizing key learnings and project outcomes. Impact of the Project Improve understanding of capacity constraints and manufacturing losses within the Diffusion area. Provide data-driven insights that support capacity and operational improvement initiatives. Identify opportunities to improve equipment utilization, throughput, and cycle time performance. Support continuous improvement efforts within manufacturing operations. Skillsets Required Strong analytical and problem-solving skills. Fundamental understanding of manufacturing or engineering systems. Familiarity with statistical analysis and data interpretati