Jobfoundry
Jobfoundry
Micron Technology

Snr/Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering

Micron Technology
Integrated Device ManufacturingSingapore, SingaporeOnsitePosted 2 months ago
Apply Now

About the role

AI summarised

The Senior Product Engineer in Advanced Data Analytics for Heterogeneous Integration Group (HIG) and High Bandwidth Memory (HBM) Product Engineering leads data-driven initiatives to improve yield, quality, and reliability through machine learning, AI, and advanced analytics. This role involves developing algorithms, enhancing data infrastructure, and collaborating across Fab, design, technology, and quality teams to optimize KPIs such as cost, cycle time, and scale. The position requires onsite work in Singapore with occasional travel to Taiwan and demands strong technical and communication skills.

IDMOnsiteHIG

Key Responsibilities

  • Be a key member of cross-functional teams to lead impactful initiatives that significantly enhance overall yield and quality improvement
  • Utilize in-house statistical tools, machine learning, and AI for engineering data analysis to enhance yields and reliability within the Dispo workflow
  • 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
  • Collaborate with IT, Manufacturing, and Operations teams to develop and enhance the data infrastructure pipeline using cloud technologies to support reliability and engineering assessments
  • Work closely with various cross-functional teams, including Fab, HBM Technology Development, HBM Design, System Development, and Quality/Reliability teams, to ensure holistic development and successful shipping of end products
  • Promote innovation and drive changes that provide a technical advantage over competitors to maintain the company's competitive edge
  • 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 Engineering, Computer Science, Statistics, Artificial Intelligence, or related fields
  • Strong technical skills with deep understanding of data analytics and analysis tools such as JMP, Tableau, and Power BI
  • Proficiency in programming languages such as Python, R, SQL, and web application languages like JavaScript, HTML, and CSS for data manipulation and analysis
  • Proficient in statistical analysis, predictive modeling, and machine learning techniques, including libraries such as TensorFlow, Scikit-learn, and PyTorch
  • Excellent communication skills to present findings and insights to non-technical stakeholders
  • Strong sense of responsibility and accountability with professional work ethic
  • Required to work onsite in Singapore with international travel to Taiwan