OMT RAM NPI RDA Application Engineer

Requirements

• 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 8D.
• 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.
• 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 request assistance with the application process and/or for reasonable accommodations, please contact at hrsupport_taiwan@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 disqualification.
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