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.
Responsibilities
Develop, qualify, and sustain inspection and application solutions to support DRAM NPI and high‑volume manufacturing.
Enable robust inline monitoring strategies to support effective defect detection, yield learning, and early issue identification across critical process steps.
Analyze manufacturing, inspection, and yield data to identify trends, gaps, and potential yield limiters.
Support root cause investigations for yield excursions and process instabilities using data‑driven and structured problem‑solving approaches.
Drive continuous yield improvement and production stability initiatives in collaboration with process integration, process engineering, and manufacturing teams.
Support technology transfers and new product ramps by ensuring inspection readiness and monitoring coverage.
Evaluate new tools, capabilities, and methodologies to enhance inspection effectiveness and manufacturing support.
Work closely with global engineering and supplier partners to resolve technical issues and improve overall manufacturing performance.
Contribute to the standardization and continuous improvement of inspection methodologies, application strategies, and best practices.
Document results, insights, and lessons learned to support knowledge sharing and long‑term manufacturing excellence.
Minimum Qualifications
Master’s degree in Engineering or a related field such as Materials Science, Chemical Engineering, Electrical Engineering, Mechanical Engineering, Physics, or a closely related discipline.
Strong engineering fundamentals combined with a willingness to continuously learn and explore new technologies, methodologies, and problem‑solving approaches.
Demonstrated curiosity and an innovation‑driven mindset, with the motivation to propose new ideas, challenge existing practices, and seek breakthrough solutions to manufacturing and yield challenges.
Ability and willingness to approach complex problems with a data‑driven and experimental mindset, including learning through analysis, iteration, and hands‑on investigation.
Openness to working across disciplines and functions, with a proactive attitude toward collaboration, knowledge sharing, and learning from diverse technical perspectives.
Effective communication skills and a growth mindset, with the ability to receive feedback, adapt quickly, and contribute in a fast‑paced manufacturing and NPI environment.
Preferred Qualifications
Advanced degree or equivalent industry experience in semiconductor manufacturing, yield engineering, inspection, or application‑related roles.
Experience working in DRAM or advanced semiconductor manufacturing environments, supporting new product introduction, technology transfer, or high‑volume manufacturing.
Hands‑on experience with electron beam inspection (EBI) or advanced inline inspection systems, including inspection setup, recipe development, tuning, qualification, or sustainment in a manufacturing environment.
Experience developing and optimizing EBI recipes to support effective defect detection, inline monitoring, and yield learning across critical process steps.
Strong experience in manufacturing, inspection, defect, or yield data analysis, with the ability to translate data insights into actionable engineering decisions.
Proficiency with programming, scripting, or analytical tools such as Python, JMP, or similar platforms to support data analysis, automation, or yield learning.
Familiarity with layout‑based analysis or design‑related tools such as KLayout, and experience applying layout information to defect localization or yield analysis.
Experience with structured problem‑solving and quality methodologies such as FA, DOE, SPC, FMEA, or 8 D.
Demonstrated track record of contributing to measurable yield improvement, defect reduction, manufacturing robustness, or cycle time improvement initiatives.
Ability to independently drive technical investigations while effectively collaborating with cross‑functional and global teams.
Experience proposing, evaluating, and implementing innovative ideas or new approaches to improve manufacturing efficiency, yield performance, or data utilization.
