Intern- ADTS PIE RDA

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 Realtime Defect Analysis (RDA) Engineering Project Title Digital Solutions for Artificial Intelligence Project Management and AI Adoption Enablement Project Description The Realtime Defect Analysis (RDA) function generates significant engineering and manufacturing data used to monitor process health, identify defect trends, and drive yield improvement within a semiconductor manufacturing environment. As an intern within the RDA Engineering team, you will design and develop AI-Enabled digital solutions that improve visibility, governance, and execution of Artificial Intelligence initiatives while enabling broader adoption of AI technologies across engineering workflows. The project will involve developing project management dashboards, workflow automation capabilities, and AI-powered productivity solutions that transform engineering data into actionable insights. The intern will gain exposure to semiconductor manufacturing processes, defect analysis methodologies, data analytics, software development, workflow automation, and the practical application of Generative AI, AI Assistants, Agentic AI, and other AI-Enabled technologies in an engineering environment. Objective of the Project Develop scalable digital solutions that improve management and visibility of Artificial Intelligence initiatives within the RDA organization. Design automated dashboards and reporting capabilities that provide insights into AI project progress, adoption, and value realization. Apply Artificial Intelligence, automation, and data analytics techniques to simplify engineering workflows and reduce repetitive manual activities. Evaluate innovative AI-Enabled approaches that increase engineering productivity and user engagement. 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 Develop visualization dashboards and project management solutions for tracking Artificial Intelligence-related initiatives, milestones, adoption metrics, and outcomes. Design and implement AI-Enabled applications, workflow automation solutions, or AI Assistant capabilities that enhance engineering productivity. Analyze engineering processes to identify opportunities where Generative AI, Agentic AI, or automation solutions can deliver measurable value. Integrate data from multiple engineering sources to provide consolidated views for project monitoring and decision-making. Apply software engineering, data analytics, and data visualization techniques to develop maintainable and scalable digital solutions. Learning Opportunities Acquire foundational knowledge of semiconductor manufacturing, wafer fabrication processes, and Realtime Defect Analysis methodologies. Develop an understanding of defect analysis, statistical process control, process monitoring, and engineering decision-making workflows. Gain hands-on experience in software development, data analytics, automation, dashboard development, and system integration. Learn how Artificial Intelligence, Generative AI, AI Assistants, Large Language Models, and Agentic AI technologies are applied within manufacturing engineering environments. Collaborate with multidisciplinary engineering, manufacturing, and software development teams on real-world digital transformation initiatives. Deliverables An AI project m