Texas Instruments
From Texas Instruments's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
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.
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
Bachelor’s degree in Industrial Engineering, System Engineering, Manufacturing Engineering, Operations Research or related engineering degree.
3+ years of relevant experience
Ability to work in clean room environment wearing smock
Intermediate proficiency in SQL and data visualization software.
Ability to work in clean room environment wearing smock.
Ability to initiate activities to support fab and group goals.
Ability to work and interact equally with all fab disciplines and all levels of fab organization.
Demonstrated strong analytical and problem-solving skills.
Strong verbal and written communication skills.
Ability to work in teams and collaborate effectively with people in different functions.
Strong time management skills that enable on-time project delivery.
Demonstrated ability to build strong, influential relationships.
Ability to work effectively in a fast-paced and rapidly changing environment.
Ability to take the initiative and drive for results.
Ability to perform basic computer programing / coding techniques to solve engineering problems.
Experience in capacity modeling and working knowledge of simulation models is an added advantage.
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