About the role
AI summarisedJoin our team dedicated to transforming how the world uses information. As a Product Engineer in the HBM group, you will apply advanced data analytics, machine learning, and AI to enhance product quality, improve yields, and drive reliability in our cutting-edge memory solutions.
IDMOnsiteHIG
Key Responsibilities
- Develop, validate, and deploy product-disposition solutions to ensure quality and reduce Defects Per Million (DPM).
- Utilize statistical tools, machine learning, and AI for engineering data analysis to enhance yields and reliability 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, for data mining and pattern recognition to enhance quality and yield.
- Collaborate with cross-functional teams (Fab, HBM Technology Development, Design, System Development, Quality/Reliability) for holistic product development.
- Serve as an AI/ML advocate, deploying and validating models to enhance KPIs such as Quality, Cost, Cycle Time, and Scale.
- Mentor and develop team members to foster technical growth within the organization.
Requirements
- Bachelor's or Master's degree in Electrical and Electronics Engineering, Statistics, or a related engineering field.
- Strong technical skills with deep understanding of data analytics, data extraction, and analysis tools (JMP, Tableau, Power BI).
- Excellent communication skills to present complex findings and insights to non-technical stakeholders.
- Proven track record of collaborative problem-solving within cross-functional teams.
- Dedicated and highly motivated with flexibility to adapt between technical leadership and program leadership roles.
- Strong sense of responsibility and professional accountability.
- Willingness to work on-site in Singapore with international travel to Taiwan.