Fab Optimization Engineer — Scheduling & Data-Driven Ops
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Engineering
Job Description & How to Apply Below
TSMC Arizona is seeking a Manufacturing Planning/Industrial Engineering professional to optimize capacity, scheduling, and flow in the fab. You will work closely with production control and automation teams to ensure the right balance between throughput and variability.
You will analyze data from tools, coordinate daily activities of Manufacturing Specialists, and lead a team to meet production targets while adapting to changing priorities.
The following position is for a Fab Optimization Engineer — Scheduling & Data-Driven Ops with TSMC.
This posting is for the Fab Optimization Engineer — Scheduling & Data-Driven Ops role at TSMC, based in Phoenix, AZ, United States.
We are looking to fill the Fab Optimization Engineer — Scheduling & Data-Driven Ops position at TSMC in Phoenix, AZ, United States.
The Fab Optimization Engineer — Scheduling & Data-Driven Ops role at TSMC is now open for applications in Phoenix, AZ, United States.
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