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Texas Instruments

Industrial Engineer m/f/d

Posted Updated
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Change the world. Love your job.


Responsibilities include:

  • Evolve and expand the capacity models for our fab
  • Own the accuracy of our capacity models – monitor data integrity and align regularly with tool owners to keep model inputs current
  • Determine the starts and mixes we can support, now and in the look-ahead, based on capacity constraints, tool performance and upcoming process releases
  • Build and maintain dashboards that make capacity, constraints and tool performance transparent to operations and management
  • Automate recurring analyses, from data extraction to visualization
  • Identify opportunities to improve cycle time and strengthen our models as a basis for operational decisions
  • Support tool owners, engineering and planning in assessing the capacity and cost impact of process changes

Minimum requirements:

  • Bachelor's degree in Industrial Engineering or similar
  • Working knowledge of Python for data preparation, analysis and automation
  • First experience turning large data sets into clear visualizations and reports for different audiences
  • Good German language skills (min. B2) and business-fluent English
  • Ability to work in a cleanroom environment wearing a smock
  • Enjoys working with different functions – from engineering through manufacturing to planning

Preferred qualifications:

  • First exposure to capacity modeling, semiconductor manufacturing or a production environment
  • SQL for querying manufacturing databases
  • Interest in working with AI-supported tool .e.g. for code generation, data analysis or preparing evaluations
  • Experience with a BI tool (e.g. Spotfire)
  • Strong stakeholder skills – building relationships across functions
  • Quick to ramp on new systems and processes

Skills

See also

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