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RFAB Module Industrial Engineer

Job in Richardson, Dallas County, Texas, 75080, USA
Listing for: Texas Instruments
Full Time position
Listed on 2026-06-04
Job specializations:
  • Engineering
    Process Engineer, Manufacturing Engineer
  • Manufacturing / Production
    Manufacturing Engineer
Salary/Wage Range or Industry Benchmark: 70000 - 90000 USD Yearly USD 70000.00 90000.00 YEAR
Job Description & How to Apply Below

About the 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.

Responsibilities
  • Lead line and operational performance analysis to identify output and cycle time improvement opportunities
  • Maintain capacity modeling data integrity via engineering change control monitoring and frequent communication with tool owners to ensure model readiness
  • Gather and understand information required to perform capacity analysis and production impact
  • Strong analytical and problem‑solving skills
  • Perform capacity analysis, cost analysis and operational “what‑if” analysis to support capital investment and operational decision making
  • 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
  • Effectively interact across all the different departments and groups to drive execution plans
  • Proactively analyze factory execution entitlement through utilizing predictive modeling techniques to drive operational performance
  • Analyze and maintain large data sets
  • Leverage operational data to identify performance trends, propose leading indicators, and provide predictive information to support execution decisions
  • Analyze complex operational challenges involving multiple stakeholders, driving towards optimal solutions in a complex and dynamic manufacturing environment
  • Identify operational gaps, lead problem formulation, determine root cause, and implement creative and effective solutions
  • Automate data extraction and manufacturing processes
  • Determine starts and mixes that we can support for the current time period and for the future look‑ahead based on our capacity, constraints, available tools, tool performance and future process releases scheduled in our factory
  • Provide a list of short‑term and long‑term focused toolsets for the modules to work on
  • Identify opportunities to improve cycle time and increase our capacity models’ ability to support operational decision making
  • Perform equipment loading studies and determine methods for flow linearization and reduction in variation
  • Interface with engineering, manufacturing, and planning to coordinate the release of new methods, flows, and processes
  • Estimate manufacturing cost, determine time standards, and make recommendations for tooling and process requirements of new or existing process flows
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