DescriptionChange the world. Love your job.
Texas Instruments is seeking experienced Equipment Engineer to join our Smart Manufacturing and Automation team. The role will be responsible for the tool optimization including productivity stability and cost. Detailed responsibilities include:
- Use TI fab tool data to identify actionable optimization strategies and improve tool KPIs such as availability utilization efficiency PPH MTBC MTTR and parts lifetime etc.
- Develop AI/ML data-driven solutions to validate hypotheses
- Work with international fab experts to provide TIs in-house solutions for:
- PM scheduling unplanned PM PM quality and prolongation
- Inhibition idle and clean analysis and strategies
- Golden tool analysis EC (equipment constants) data mining and management
- Robot arm movement efficiency
- Parts management including lifetime estimation failure prediction and quality check
- Recipe efficiency
- Provide technical analysis reports with simulated results and proposed solutions.
QualificationsMinimum requirements:
- M.S. or Ph.D. in engineering
- Fab equipment engineering experiences
Preferred qualifications:
- Familiar with data mining / machine learning / AI solutions
- Pattern mining and recognition
- Probability model building / Risk assessment
- Time series data analysis
- Python toolkits and DB skills
- Ability to frame real-world engineering problems into structured optimization tasks
- Familiar with semiconductor manufacturing tools
- Experiences on Tool/Parts analysis
- PM knowhow Parts quality and tool productivity
- Signals data and logs
Required Experience:
IC
DescriptionChange the world. Love your job.Texas Instruments is seeking experienced Equipment Engineer to join our Smart Manufacturing and Automation team. The role will be responsible for the tool optimization including productivity stability and cost. Detailed responsibilities include:Use TI fab t...
DescriptionChange the world. Love your job.
Texas Instruments is seeking experienced Equipment Engineer to join our Smart Manufacturing and Automation team. The role will be responsible for the tool optimization including productivity stability and cost. Detailed responsibilities include:
- Use TI fab tool data to identify actionable optimization strategies and improve tool KPIs such as availability utilization efficiency PPH MTBC MTTR and parts lifetime etc.
- Develop AI/ML data-driven solutions to validate hypotheses
- Work with international fab experts to provide TIs in-house solutions for:
- PM scheduling unplanned PM PM quality and prolongation
- Inhibition idle and clean analysis and strategies
- Golden tool analysis EC (equipment constants) data mining and management
- Robot arm movement efficiency
- Parts management including lifetime estimation failure prediction and quality check
- Recipe efficiency
- Provide technical analysis reports with simulated results and proposed solutions.
QualificationsMinimum requirements:
- M.S. or Ph.D. in engineering
- Fab equipment engineering experiences
Preferred qualifications:
- Familiar with data mining / machine learning / AI solutions
- Pattern mining and recognition
- Probability model building / Risk assessment
- Time series data analysis
- Python toolkits and DB skills
- Ability to frame real-world engineering problems into structured optimization tasks
- Familiar with semiconductor manufacturing tools
- Experiences on Tool/Parts analysis
- PM knowhow Parts quality and tool productivity
- Signals data and logs
Required Experience:
IC
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