Intern - Process & Equipment 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. Location Singapore Department Process and Equipment Engineering Project Title Artificial Intelligence Transformation for Process and Equipment Engineering Project Description Artificial Intelligence Transformation for Process and Equipment Engineering aims to enhance engineering productivity, manufacturing excellence, and data-driven decision-making through the application of Artificial Intelligence, automation, and advanced data analytics. The intern will undertake a defined engineering project that explores how AI-Enabled tools and digital workflows can improve the way engineers access technical information, analyze manufacturing data, investigate engineering challenges, develop solutions, and identify improvement opportunities across process and equipment domains. The project provides an opportunity to gain practical experience in semiconductor manufacturing, engineering analytics, AI-Enabled application development, and responsible use of Generative AI. The intern will collaborate with engineers and relevant subject-matter experts while developing and validating a project-based solution. Objective of the Project Identify a suitable process or equipment engineering use case for an AI-Enabled solution. Develop an application or digital workflow that improves the accessibility, analysis, or interpretation of engineering information. Apply Artificial Intelligence, automation, and advanced data analytics to improve problem-solving effectiveness and decision-making. Evaluate the proposed solution using defined technical and engineering criteria.   Opportunities for Full Time Employment Successful completion of the internship may provide exposure to future graduate employment opportunities, subject to business requirements, position availability, and the applicable selection process. Project Scope Study a defined process or equipment engineering challenge and identify opportunities for AI-Enabled improvement. Explore relevant manufacturing, process, equipment, or engineering datasets and determine suitable analytical approaches. Design and develop an AI-Enabled application, Agentic Solution, analytical model, or automated digital workflow. Apply appropriate techniques such as statistical analysis, machine learning, Generative AI, large language models, data visualization, or workflow automation. Test, validate, document, and present the proposed solution and its potential engineering value.   Learning Opportunities Gain practical exposure to process and equipment engineering within a semiconductor manufacturing environment. Learn how Artificial Intelligence and advanced data analytics can be applied to engineering and manufacturing challenges. Develop experience in data preparation, exploratory analysis, model development, solution validation, and technical documentation. Explore responsible use of Generative AI, AI Assistants, Agentic AI, and large language models in engineering workflows.   Deliverables A functional AI-Enabled application, analytical model, Agentic Solution, or automated digital workflow for the selected engineering use case. A documented methodology covering the problem statement, data requirements, solution design, testing approach, and validation results. A demonstration of how the solution may contribute to yield, quality, cost, productivity, or cycle-time optimization. A final technical report and project presentation covering the solution, findings, limitations, and recommendations. Impact of the Project