About the role
AI summarisedSenior/Staff/Principal Product Engineer role at Micron's Heterogeneous Integration Group focusing on High Bandwidth Memory. The role involves developing product disposition solutions, applying AI/ML for yield improvement, and collaborating with cross-functional teams to enhance quality and reliability in semiconductor manufacturing.
IDMFull-timeHIG
Key Responsibilities
- Develop, validate and deploy product-disposition solutions (wormhole) to ensure quality and reduce Defects Per Million (DPM) through a comprehensive product disposition program/workflow.
- 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.
- Create a deviation alert system to monitor yield loss, characteristic/parameter trends, and wafer/die/cube shading.
- 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.
- Actively mentor and develop team members to foster growth and development within the team and the organization.
- 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.
- Promote innovation and drive changes that provide a technical advantage over competitors, maintaining the company's competitive edge in the market.
- Collaborate with cross-functional teams to develop, deploy, and validate AI/ML models aimed at enhancing key performance indicators (KPIs) such as Quality, Cost, Cycle Time, and Scale.
Requirements
- Bachelor's or Master's degree in Electrical and Electronics Engineering, Statistics, or related engineering fields.
- Experience in data analytics/science industry. Experience in Micron Product Engineering or the semiconductor industry is preferred.
- 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.
- Proven track record of collaborative work within/across teams to address sophisticated business and engineering problems. Experience in mentoring and coaching team members to develop their skills.
- Dedicated and highly motivated with a flexible approach towards adapting to different roles in a dynamic working environment (from leading the team to leading technical programs).
- Strong sense of responsibility and accountability towards assigned role with professional work ethic.
- Work on site in Singapore with international travel to Taiwan.
