Intern - PEE CVD/PVD

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 HVM Engineering Process and Equipment Engineering Project Title Superior Copper Sputter Enablement on HBM Metallization Project Description With increasingly advanced technology scaling and higher performance requirements, the metallization process requires continuous innovation to meet stringent electrical, reliability, and manufacturability targets. To support future product roadmaps and capacity expansion, there is a need to enable advanced copper deposition capability as an improved manufacturing platform for metallization. This effort requires comprehensive process development, hardware qualification, integration assessment, and defectivity optimization to achieve process equivalency while maintaining yield, reliability, and cost competitiveness. The project will leverage Artificial Intelligence (AI), Micron manufacturing systems, and advanced data analytics to perform extensive characterization, validation, and predictive insights across process conditions. The intern will work closely with engineering teams to evaluate process performance, identify optimization opportunities, and develop data-driven solutions that improve manufacturing robustness and readiness for high-volume production. This internship will provide opportunities for consideration for future full-time employment based on performance and business needs. Project Scope • Support advanced copper sputter process development for next-generation HBM metallization. • Perform process characterization, hardware qualification, and integration assessments. • Leverage AI tools, Micron manufacturing systems, and data analytics techniques to identify performance trends and generate actionable insights. • Conduct statistical analysis and machine learning-based evaluations to improve process understanding and decision-making. • Support defect reduction, yield enhancement, and manufacturing readiness activities. • Collaborate with cross-functional Process Integration, Manufacturing, Equipment, and Quality teams. Learning Opportunities • Hands-on exposure to semiconductor manufacturing and advanced metallization technologies. • Application of AI and data analytics in a high-volume manufacturing environment. • Experience utilizing Micron systems and manufacturing databases for process monitoring and optimization. • Development of problem-solving, statistical analysis, and engineering decision-making skills. • Exposure to process qualification, reliability assessment, and manufacturing ramp activities. Deliverables • Process characterization and qualification reports. • AI and data analytics-based insights and recommendations. • Manufacturing performance evaluation and improvement proposals. • Yield, reliability, and defectivity optimization assessments. Impact of the Project The project aims to enable a superior copper sputter manufacturing platform that delivers improved yield performance, enhanced product reliability, higher manufacturing robustness, and increased readiness for future technology node and capacity expansion requirements. Skills Required • Basic understanding of semiconductor manufacturing processes. • Strong analytical and problem-solving abilities. • Proficiency in data analysis and statistical methods. • Familiarity with AI concepts and AI-enabled tools for data analytics and decision support. • Experience with programming or data analytics tools (Python, Power BI, SQL, JMP, or equivalent) is advantageous. • Strong communication and teamwork skills. Course of Interest The ideal candidate should be pursuing Chemical Engineering, Electrical Engineering, Materials Engineering, or a related engineering discipline . Duration The ideal candidate should be able to commit to a full-time internship period of 4 months . About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqua…