Micron Technology

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

Micron Technology
Integrated Device ManufacturingSingapore, SingaporeOnsitePosted 1 month ago

About the role

AI summarised

As a Product Engineer in the Advanced Data Analytics team within Micron's Heterogeneous Integration Group, you will lead initiatives to improve yield and quality through machine learning, AI, and data infrastructure development. You will develop algorithms, collaborate across teams to enhance data pipelines, and drive innovation in HBM product engineering. The role requires onsite work in Singapore with international travel to Taiwan.

IDMOnsiteHIG

Key Responsibilities

  • 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
  • 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 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

  • A Bachelor’s degree in Computer Science
  • Experience building full-stack systems powered by GenAI, including RAG pipelines, vector databases, and LLM integration
  • Proven ability to orchestrate data engineering pipelines, including SQL query optimization, RESTful API development, and Docker containerization
  • Strong proficiency in machine learning, especially regression and classification models in Python
  • Experience with BI tools like Power BI and Tableau
  • Required to work onsite in Singapore with international travel to Taiwan