Intern

About the Role

Micron Technology is a global leader in innovative memory and storage solutions. The 3D DRAM Metals team develops next-generation DRAM technologies, collaborating across advanced materials science, process engineering, and semiconductor manufacturing. This internship offers hands-on exposure to semiconductor process development and manufacturing, with interns working on impactful projects contributing to future product development. The internship concludes with a presentation of project findings to engineering leadership.

Key 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.

Requirements & Tech Stack

• 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, process development, or project performance.
• Excellent verbal and written communication skills, including the ability to present complex technical findings to diverse audiences.