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Infineon Technologies

Senior Staff Engineer Industrial Engineering (Productivity & Digitalization)

Infineon Technologies
Integrated Device ManufacturingSingaporeFull-time2 days ago
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About the role

AI summarised

Senior Staff Engineer in Industrial Engineering focusing on productivity and digitalization at Infineon, a global semiconductor leader. The role involves end-to-end ownership of digitalization and productivity projects, stakeholder collaboration, and development of GenAI applications to optimize manufacturing operations.

IDMFull-timeBE

Key Responsibilities

  • Take end-to-end ownership of Digitalization/Productivity/Benchmarking projects, from initial data ingestion (Oracle/Database Warehouse) to final deployment and be Project manager of productivity project to drive the improvement project to boost next level of productivity across BE.
  • Manage the lifecycle of predictive algorithms, e.g. workforce optimization and equipment-man ratio forecasting.
  • Partner with global stakeholders to translate operational pain points into technical AI requirements for better efficiency and productivity.
  • 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.
  • Design and deploy GenAI-powered assistants to interpret complex performance data from Tableau and MES systems.
  • Develop LLM-based solutions to query internal IE knowledge bases, technical manuals, and historical '4M'+ Layout planning optimization reports.
  • Scale and improve existing KNIME workflows and Tableau dashboards.
  • Integrate real-time data streams from MES to correlate team performance with dynamic production Target.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Industrial Engineering (with a programming focus), or a related technical field.
  • Prior experience or strong interest in Semiconductor Manufacturing or high-tech industrial environments.
  • Strong proficiency in Python (Pandas, NumPy) and 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).
  • Possess Project Management, Stakeholders Engagement, Communication and Problem-Solving skills.
  • Able to work in fast paced working environment.