RFAB Module Industrial Engineer

Texas Instruments; Richardson (TX); On-site; USD 70,000 - 110,000; Full time

Job summary

Texas Instruments is seeking an experienced Industrial Engineer to support our manufacturing operations in Richardson, TX. You will lead capacity analysis, data-driven optimization, and cross-department collaboration to improve line performance and asset utilization.

The role emphasizes analytical problem solving, automation of data tasks, and capacity planning to inform capital investments and production decisions. You will work in a dynamic, team-oriented environment at TI.

Qualifications

• Bachelor's degree in Industrial Engineering or related field.
• Strong analytical and problem-solving skills.
• Experience with capacity planning and data-driven decision making.

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.
• Perform capacity analysis, cost analysis and what-if analyses to support capital investment and operational decisions.
• 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.
• Interact across departments to drive execution plans.
• Apply predictive modeling to drive operational performance.
• Analyze and maintain large data sets for capacity planning.
• Identify operational gaps, lead problem formulation, determine root cause, and implement solutions.
• Automate data extraction and manufacturing processes.
• Determine starts and mixes based on capacity and future releases.
• Provide short-term and long-term toolset recommendations for modules.
• Identify opportunities to improve cycle time and capacity models.

Skills

Industrial Engineering

Capacity modeling

Data analysis

Process improvement

Predictive modeling

Automation

Cross-functional collaboration

Education

Bachelor's degree in Industrial Engineering

Job description

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 include:

• 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
• Performing 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
• Analyzing and maintaining 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
• Automating data extraction and manufacturing processes
• Determining 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
• Providing a list of short-term and long-term focused toolsets for the modules to work on
• Identifying opportunities to improve cycle time and increase our capacity models' ability to support operational 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
• Estimating manufacturing cost, determining time standards, and making recommendations for tooling and process requirements of new or existing process flows