Responsibilities:
- Hands-On Data Analytics: Develop foundational data analytics skills to contribute to defectivity improvement projects.
- Data Mining Exploration: Gain exposure to advanced analytics techniques to identify and address deviations in machinery and processes.
- Experimentation & Learning: Engage in designing experiments to identify defect sources and formation mechanisms, gaining valuable insights in semiconductor processes.
- Collaborative Innovation: Work closely with engineers from diverse departments to contribute ideas and assist in implementing breakthrough solutions for defectivity improvement.
- Brand new Inspection Tools: Use the latest pioneering inspection tools for defect detection, contributing to advancements in semiconductor manufacturing.
- Statistical Process Control Exposure: Learn to set appropriate control chart limits and use effective sampling for proactive intervention against machinery and process deviations.
- Smart Sampling Techniques: Implement smart sampling methodologies to proactively detect and address deviations, ensuring efficient and effective root cause identification.
- Defense Line Strengthening Projects: Contribute to strategic projects aimed at minimizing products at risk and enhancing overall product quality.
- Case Review & Solutions: Participate in case reviews upon process deviations, assisting in identifying business process gaps and proposing solutions.
- Innovation & Learning: Collaborate with the Data Science and Smart Manufacturing AI teams, contributing to the deployment of smart solutions and staying at the forefront of technological advancements.
- Global Collaboration Exposure: Engage with global partners in the Micron Network, fostering collaboration and knowledge sharing.
Requirements:
- Bachelor's Degree in Engineering: Hold a degree in any engineering field to apply theoretical knowledge to real-world scenarios.
- Fresh Graduates or 1-5 Years of Experience: Open to energetic fresh graduates or candidates with 1-5 years of proven experience in the field.
- Passion for Engineering: Showcase your enthusiasm for semiconductor manufacturing.
