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Infineon Technologies

Specialist / Senior / Staff Specialist Industrial Engineering (Digitalization & Productivity)

Infineon Technologies
Integrated Device ManufacturingSingaporeOnsitePosted 1 month ago
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About the role

AI summarised

This role focuses on developing and deploying generative AI-powered tools to enhance industrial engineering processes in semiconductor manufacturing. The specialist will design LLM-based assistants for data interpretation, manage end-to-end digitalization projects, optimize workflows using KNIME and Tableau, and collaborate with global stakeholders to drive productivity and innovation through data-driven solutions.

IDMOnsiteBE

Key Responsibilities

  • Design and deploy GenAI-powered assistants to interpret complex performance data from Tableau and MES systems
  • Take end-to-end ownership of Digitalization/Productivity/Benchmarking projects, from initial data ingestion (Oracle/Database Warehouse) to final deployment
  • Manage the lifecycle of predictive algorithms, e.g. workforce optimization and equipment-man ratio forecasting
  • Scale and improve existing KNIME workflows and Tableau dashboards
  • Integrate real-time data streams from MES to correlate team performance with dynamic production targets
  • Partner with global stakeholders to translate operational pain points into technical AI requirements
  • Actively research and pilot emerging AI trends to reduce 'non-value added' activities
  • Design user-centric interfaces to make data-driven decisions without deep technical training

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Industrial Engineering (with a programming focus), or a related technical field
  • Min. 0-3 years of related working industrial experience in semiconductor / electronics industry
  • Prior experience or strong interest in Semiconductor Manufacturing or high-tech industrial environments
  • Strong proficiency in Python (Pandas, NumPy)
  • Experience with Generative AI frameworks (e.g., LangChain, OpenAI API, or AWS Bedrock)
  • Advanced skills in Tableau, Power BI, and KNIME for complex data blending and visualization
  • Familiarity with SQL/Oracle databases and MES (Manufacturing Execution Systems)
  • Project management skills to drive harvesting
  • Proven ability to take a prototype and turn it into a stable, production-ready tool
  • Disciplined approach to documentation and version control to ensure global scalability of code
  • Excellent verbal and written communication skills to explain 'The Why' behind AI-driven recommendations to global teams
  • Ability to facilitate 'on-the-spot' coaching sessions based on dashboard insights
  • Proactive mindset that looks for ways to automate manual benchmarking and reporting
  • Comfortable working in a fast-paced environment