About the role
Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering role based on the published job description. Key responsibilities and requirements were extracted directly from the posting for quick review.
IDMOnsiteHIG
Key Responsibilities
- Product Disposition Solutions: Develop, validate and deploy product-disposition solutions (wormhole) to ensure quality and reduce Defects Per Million (DPM) through a comprehensive product disposition program/workflow.
- Data Analysis for Yield Improvement and Reliability : Utilize in-house statistical tools, machine learning, and AI for engineering data analysis to enhance yields and reliability, integrating these improvements within the Dispo workflow.
- Deviation Alert System: Create a deviation alert system to monitor yield loss, characteristic/parameter trends, and wafer/die/cube shading.
- Models/Algorithm Development : Develop state-of-the-art algorithms, including Machine Learning and Deep Learning models, to advance data mining and pattern recognition for quality enhancement, yield improvement, wafer/die level screening and efficiency enhancement.
- Mentorship and Development: Actively mentor and develop team members to foster growth and development within the team and the organization.
- Cross-Functional Collaboration: Work closely with various cross-functional teams, including Fab, HBM Technology Development, HBM Design, System Development, and Quality/Reliability teams, to ensure the holistic development and successful shipping of end products.
Requirements
- Bachelor's or Master's degree in Electrical and Electronics Engineering, Statistics, or related engineering fields.
- At least 3 years of experience in data analytics or data science is preferred.
- Prior experience in Micron Product Engineering or the semiconductor industry is a plus.
- Outstanding fresh graduates are welcome to apply.
- Demonstrate strong leadership and technical skills with a deep understanding of data analytics, data extraction, and analysis tools such as JMP, Tableau, and Power BI.
- Excellent communication skills to present findings and insights to non-technical stakeholders.