Product Engineer (Advance Data Analytics), High Bandwidth Memory (HBM) Product Engineering

Your responsibilities will include developing cutting-edge algorithms, creating robust product disposition solutions, and establishing a proactive deviation alert system for yield and quality, enhancing data infrastructure, mentor team members, and fostering innovation to maintain a competitive edge. 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. Cumulative Yield Ownership: Be a key member of cross-functional teams, to lead impactful initiatives that significantly enhance overall yield and quality improvement, driving substantial benefits for the organization. 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. 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. Promotion of Innovation: Promote innovation and drive changes that provide a technical advantage over competitors, maintaining the company's competitive edge in the market. AI/ML Advocate: 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. A Bachelor Degree/Master in Electrical and Electronics Engineering , Mechanical Engineering, Related Engineering field, Computer Science. Familiarity with machine learning (regression and classification models in Python) is a plus. Knowledge of machine learning, especially regression and classification in Python, would be advantageous. Experience with BI tools like Power BI and Tableau Required to work onsite in Singapore with international travel to Taiwan.