Semiconductor Capacity Planning Engineer (Hybrid)

GlobalFoundries

Richardson (TX)

Hybrid

USD 95.000 - 120.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

GlobalFoundries in Richardson, TX is seeking a capacity planning engineer to optimize wafer fabrication capacity using capacity modelling and mathematical optimization.

You will drive global standardization across sites, analyze big data outputs, and communicate strategic priorities within and across the organization while ensuring safe, compliant operations.

This role requires a B.S. in engineering and hands-on experience with scheduling, Lean/JIT, and programming in C#/Python.

Qualifikationen

  • Bachelor’s degree in Industrial and Systems Engineering or Mechanical Engineering.
  • 2 years of post-baccalaureate experience in capacity modelling and manufacturing operations.
  • Experience with C/C#, Python, and UI/UX interfaces.
  • Familiar with linear regression and optimization techniques.
  • Knowledge of Lean Manufacturing and JIT scheduling.
  • Telecommuting permitted <50% within the same location.

Aufgaben

  • Plan wafer fabrication capacity and analyze capacity models.
  • Implement mathematical logic and linear programming for capacity planning.
  • Drive global standardization of capacity modelling across sites.
  • Communicate strategic priorities within and across organizations.
  • Ensure safe and compliant operations.

Kenntnisse

C/C#
Python
Linear regression
Optimization

Ausbildung

Bachelor's degree in Industrial and Systems Engineering
Bachelor's degree in Mechanical Engineering

Tools

UI/UX interfaces

Jobbeschreibung

GlobalFoundries in Richardson, TX is seeking a capacity planning engineer to optimize wafer fabrication capacity using capacity modelling and mathematical optimization.

You will drive global standardization across sites, analyze big data outputs, and communicate strategic priorities within and across the organization while ensuring safe, compliant operations.

This role requires a B.S. in engineering and hands-on experience with scheduling, Lean/JIT, and programming in C#/Python.

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