About the role
AI summarisedMetrology Engineer responsible for developing measurement recipes and qualification criteria to ensure product integrity and yield in a high-volume semiconductor environment. The role involves managing SPC charts, collaborating with R&D for technology startups, and integrating AI-assisted tools to optimize tool utilization and detection efficiency.
IDMOnsiteFront End
Key Responsibilities
- Work proactively to problem solve with yield or quality impact on our products through development of measurement recipes that can provide quick and accurate feedback on the product integrity
- Participate in new technology development and startup alongside with Research & Development (R&D) fabrication (Fab) site in US
- Participate in world-wide discussions such as Copy-Smart Team (CST) for continuous improvement on the toolset(s) assigned across Micron Fabs
- Collaborate with Engineering Operations and/or Application teams to optimize tool maintenance schedules and utilization
- Develop and run projects crafted to enhance inline detection, improve efficiency, reduce cost, reduce tool measurement variability and improve machine availability
- Partner with the tool suppliers and owners to explore innovative ways of doing things to overcome the challenge of the shrinking technology nodes
- Support Fab through data analysis, providing knowledgeable summations of results and recommendations on how to proceed with process changes
- Ensure engineering team is trained on recipe maintenance, tool recovery, troubleshooting, and maintenance activities for the assigned tools
- Determine Sampling strategy to meet Production, Process Control and Quality requirement
- Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness
Requirements
- Bachelor’s or advanced degree in Engineering or Science is required
- Strong analytical, logical, and critical thinking skills
- Effective communicator, able to collaborate across all levels
- Growth mindset with a passion for continuous learning
- Internship or experience in the semiconductor industry is a plus
- Demonstrated leadership and a track record of impact are highly desirable
- Interest in and knowledge of the semiconductor industry and Micron is preferred
- Ability to apply baseline digital fluency and role-appropriate AI literacy to use AI-enabled tools responsibly and effectively