Intern - Process Development Engineer, 3D DRAM Metals

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Technology is a global leader in innovative memory and storage solutions that accelerate the transformation of information into intelligence. The 3D DRAM Metals team is at the forefront of developing next-generation DRAM technologies, working at the intersection of advanced materials science, process engineering, and semiconductor manufacturing. Team members collaborate across fields to develop scalable solutions that enable future memory innovations. Micron internships provide hands-on exposure to semiconductor process development and manufacturing technology. Interns work closely with experienced engineers on impactful projects that contribute to future product development while gaining valuable technical and professional experience. The internship culminates with the presentation of project findings and recommendations to engineering leadership and team members. Responsibilities Develop and optimize semiconductor processes to meet product requirements for physical and electrical performance. Partner with multi-functional process and equipment engineering teams to identify, evaluate, and implement process improvements. Perform root-cause analysis, failure-mode analysis, and experimental investigations to address process challenges and improve manufacturing outcomes. Analyze statistical data from pilot-scale technology development manufacturing lines and communicate findings through technical reports and presentations. Apply Artificial Intelligence and AI-Assisted tools, where appropriate, to enhance data analysis, process optimization, and engineering productivity. Minimum Qualifications Currently enrolled in a Ph.D. program, or equivalent advanced degree program, in Materials Science, Chemical Engineering, Chemistry, Physics, or a related technical field. Must not graduate before September 2027. Demonstrated experience with experimental design, data analysis, and interpretation of technical results. Strong analytical and problem-solving skills with experience applying root-cause analysis or model-based approaches to complex technical challenges. Demonstrated ability to manage multiple priorities independently while delivering high-quality results with minimal supervision. Preferred Qualifications Advanced knowledge of statistics, including experience with statistical process control (SPC) methodologies. Programming or scripting experience using languages such as Python, MATLAB, R, or similar technical computing tools. General understanding of semiconductor manufacturing processes, with deeper knowledge in at least one process area. Experience Applying AI or Leveraging Artificial Intelligence to improve research, engineering analysis, proc