Intern - Product Development 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. Location Micron Singapore Bendemeer (990 Bendemeer Road, SIngapore 339942) Department MSB Test Solutions Engineering  Project Title NAND Component Test Flow Optimization Using AI-Enabled Data Analytics and Automation Project Description The intern will participate in a structured Product Development Engineering project focused on optimizing NAND component test flows using manufacturing data analytics, automation, and Artificial Intelligence. Under appropriate guidance, the intern will develop analytical tools, models, and visualizations to study manufacturing data, identify product recovery opportunities, and improve test-flow efficiency. The project will provide practical exposure to data engineering, statistical analysis, machine learning, prompt engineering, and the responsible application of enterprise AI tools. Objective of the Project The project aims to: Improve the analysis of manufacturing and test-flow data. Identify data-driven opportunities to enhance product recovery. Develop automation solutions that improve engineering analytical efficiency. Apply statistical, machine learning, and AI-Enabled methodologies to generate actionable insights. Evaluate emerging Artificial Intelligence technologies for relevant engineering and manufacturing use cases. Project Scope The intern will be given the opportunity to: Retrieve, prepare, analyze, and visualize manufacturing data to evaluate NAND component test-flow efficiency and product recovery opportunities. Work with SpecTek engineers to understand test-flow challenges and apply structured, data-driven problem-solving methodologies. Develop scripts, analytical models, reports, and automation solutions using relevant programming languages, statistical tools, and data platforms. Apply statistical analysis, machine learning, enterprise AI tools, and prompt-engineering techniques to accelerate data exploration, knowledge retrieval, documentation, and insight generation. Evaluate AI-Enabled solutions for engineering use cases, validate AI-generated outputs, and follow applicable data security, governance, and responsible AI requirements.   Learning Opportunities The intern will have the opportunity to: Gain practical exposure to NAND component testing, product recovery, and manufacturing data analysis. Develop proficiency in programming, data preparation, statistical analysis, machine learning, automation, and visualization. Learn how AI-Enabled tools and prompt-engineering techniques can be applied responsibly within engineering workflows. Build experience in validating analytical and AI-generated outputs, documenting assumptions, and communicating limitations. Strengthen critical thinking, technical documentation, stakeholder communication, and cross-functional collaboration skills.   Deliverables The intern is expected to deliver: A structured analysis of NAND component manufacturing and test-flow data. Scripts, analytical models, or automation tools for data preparation, analysis, and reporting. Statistical or machine learning analyses identifying potential product recovery and test-flow improvement opportunities. Visualizations and documented recommendations for engineering evaluation. A final technical report and presentation covering the methodology, findings, validation results, limitations, and proposed next steps   Impact of the Project The project is intended to: Improve visibility into NAND component test-flow performance and product recovery opportunities. Increase