Intern - Test Solutions, NVM

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 F10N, 1 North Coast Drive, Singapore 757432 Department Non-Volatile Memory Test Engineering Project Title AI-Driven Test Engineering Automation and Analytics for NAND Products Project Description As an Intern Test Solutions Engineer in Non-Volatile Memory Test Engineering, you will work on advanced semiconductor test engineering projects focused on NAND memory product development, manufacturing test optimization, and Artificial Intelligence-enabled engineering automation. The project provides hands-on exposure to wafer probe, burn-in, and assembly test solutions used in high-volume semiconductor manufacturing environments. You will collaborate with experienced test engineers and cross-functional teams to develop analytical and automation solutions that improve test quality, engineering productivity, cost efficiency, and decision-making. Through this project, you will apply data analytics, machine learning, scripting, and software development techniques to real engineering challenges while developing practical knowledge of semiconductor memory testing. Objective of the Project Develop data analytics and Artificial Intelligence-enabled solutions for NAND test engineering. Automate selected engineering analyses and validation workflows to reduce manual effort and engineering cycle time. Generate actionable insights from large-scale manufacturing and test datasets. Evaluate opportunities to improve test effectiveness, product quality, and engineering productivity. Opportunities for Full Time Employment High-performing interns may be considered for future internship or full-time employment opportunities, subject to business needs, role availability, and the applicable selection process. Project Scope Develop data analytics and Artificial Intelligence-enabled workflows to improve engineering efficiency across NAND test development and manufacturing. Design and implement automation solutions for test-result analysis, wafer tracking, yield correlation, and test-program validation. Build dashboards and visualization tools that generate actionable insights from large-scale manufacturing and test datasets. Apply scripting and software development techniques to improve test infrastructure, code reusability, and engineering productivity. Explore machine learning algorithms for the predictive analysis of test performance, quality indicators, and manufacturing trends. Learning Opportunities Gain hands-on experience in semiconductor memory test engineering and NAND product development. Learn wafer probe, burn-in, assembly test, and manufacturing test methodologies. Apply Artificial Intelligence, machine learning, and data analytics techniques to practical engineering challenges. Develop software engineering skills in workflow automation, data processing, visualization, and reusable code development. Collaborate with cross-functional teams in Product Engineering, Manufacturing, Quality, and Data Science. Deliverables An automated engineering workflow or software solution with documented methodology and potential business impact. A data analytics dashboard and reporting framework for selected test engineering use cases. Technical documentation covering the solution architecture, data requirements, validation results, and limitations. Recommendations for improving test effectiveness, product quality, or engineering productivity. A final project presentation summarizing the approach, findings, recommendations, and potential impact. Impact of