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Micron Technology

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

Micron Technology
Integrated Device ManufacturingSingapore, SingaporeFull-time5 months ago
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About the role

AI summarised

Product Engineer role in Micron's Heterogeneous Integration Group focusing on High Bandwidth Memory. The position involves leading advanced data analytics initiatives to improve yield and quality through machine learning, AI, and data infrastructure development. The engineer will collaborate with cross-functional teams and drive innovation in semiconductor memory products.

IDMFull-timeHIG

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.