Industrial Engineer - Capacity

Change the world. Love your job. Do you have experience in industrial engineering and process planning? Do you want to work for an organization that values your opinion? Do you want to work for an organization where you can play a pivotal role in several different areas? Look no further. Texas Instruments (TI) is looking for an experienced Industrial Engineer to support our manufacturing operations.

Here's your opportunity to work in a vibrant and dynamic team oriented environment with exposure to a variety of state-of-the art applications each day.

• Maintain capacity modeling data integrity via engineering change control monitoring and frequent communication with tool owners to ensure model readiness.
• Gather the information required to understand capacity analysis and production impact.
• Performing capacity analysis, cost analysis and operational “what-if” analysis to support capital investment and operational decision making.
• Strong understanding of manufacturing processes.
• Excel at completing projects accurately and timely.
• Ability to develop turn complex process flow information into computer models.
• Providing capacity analysis and cost analysis support for decision making.
• Performing equipment loading studies and determining methods for flow linearization and reduction in variation.
• Interfacing with engineering, manufacturing, and planning/coordinating the release of new methods, flows, and processes.
• Optimize equipment run schedule to maximize asset utilization and output.
• Collect and validate operational performance data via strong analytic methods on automation and system logs to analyze throughput impact of various process requirement.
• Analyze complex operational challenges involving multiple stakeholders, driving towards optimal solutions in a complex and dynamic manufacturing environment.
• Automating data extraction and manufacturing processes.
• Analyzing and maintaining large data sets.
• Ability to code complex logic and algorithms.
• Extracting and transforming large amount of data