RFAB Module Industrial Engineer

Texas Instruments; Richardson (TX); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Texas Instruments in Richardson, TX is seeking an experienced Industrial Engineer to support manufacturing operations. You will lead capacity analysis, drive cycle-time improvements, and collaborate with engineering, manufacturing, and planning teams to optimize workflows.

The role emphasizes data-driven decisions, large data set analysis, and automation of data extraction to improve asset utilization and throughput.

Responsibilities

• Lead line and operational performance analysis to improve output and cycle time.
• Maintain capacity models and data integrity via change control and regular communication with tool owners.
• Gather information to perform capacity analysis and assess production impact.
• Strong analytical and problem-solving skills.
• Perform capacity, cost, and what-if analyses to support capital investment and decisions.
• Optimize equipment run schedules to maximize asset utilization and output.
• Collect and validate performance data from automation and logs to analyze throughput.
• Interact across departments to drive execution plans.
• Analyze factory execution entitlement using predictive modeling to improve performance.
• Analyze and maintain large data sets.
• Use operational data to identify trends, indicators, and predictive insights for execution decisions.
• Analyze complex operational challenges with multiple stakeholders to find optimal solutions.
• Identify gaps, define problems, find root causes, and implement solutions.
• Automate data extraction and manufacturing processes.
• Determine starts and mixes for current and future periods based on capacity and tool performance.
• Provide short- and long-term toolsets for modules.
• Identify opportunities to improve cycle time and capacity models.
• Perform equipment loading studies and methods for flow optimization.
• Interface with engineering, manufacturing, planning to release new methods and processes.
• Estimate costs, time standards, and tooling/process needs.

Skills

Industrial Engineering

Process improvement

Data analysis

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