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Infineon Technologies

Senior Staff Engineer Industrial Engineering (Productivity & Digitalization)

Infineon Technologies
Integrated Device ManufacturingSingaporeOnsitePosted 4 days ago
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About the role

AI summarised

Take end-to-end ownership of Digitalization and Productivity projects within a high-tech manufacturing environment, driving efficiency improvements through advanced analytics, AI application development, and cross-functional stakeholder collaboration.

IDMOnsiteBE

Key Responsibilities

  • Own the lifecycle of Digitalization/Productivity projects, from initial data ingestion (Oracle/Database Warehouse) to final deployment.
  • Serve as Project Manager for productivity initiatives aimed at boosting operational efficiency across the business unit.
  • Translate operational pain points into technical AI requirements by partnering with global stakeholders and managing change.
  • Design and deploy GenAI-powered assistants to interpret complex performance data from Tableau and MES systems.
  • Scale and enhance existing KNIME workflows and Tableau dashboards by integrating real-time data streams from MES.
  • Research and pilot emerging AI trends to identify opportunities for reducing non-value added activities.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Industrial Engineering (with a programming focus), or related technical field.
  • Strong proficiency in Python (Pandas, NumPy).
  • Experience or strong interest in Semiconductor Manufacturing or high-tech industrial environments.
  • Advanced skills in data visualization tools including Tableau, Power BI, and KNIME.
  • Familiarity with SQL/Oracle databases and Manufacturing Execution Systems (MES).
  • Proven ability in Project Management, Stakeholder Engagement, and technical communication.
  • Strong problem-solving abilities and ability to thrive in a fast-paced environment.