SM Fab Fault Detection (FD) Engineer

Texas Instruments•Sherman, TX

About The Position

Texas Instruments is looking for an energetic engineer with a passion for process control and automation. This position provides the opportunity to start up a new factory and drive continual improvement at all levels. In this position, you’ll have the opportunity to collaborate with process engineering, equipment automation, data engineering, and data science teams to develop innovative solutions to reduce unscheduled tool downtime, improve process repeatability/reliability, and protect the factory from wafer-loss events.

Requirements

2 years relevant experience in at least two of the following: Fault Detection, Semiconductor Process Engineering, Data Analytics/System Integration
Bachelor's degree in Chemical Engineering, Electrical Engineering, Mechanical Engineering, Materials Science, Computer Science, Software Engineering or a related field
Experience in programming languages, Python, and/or SQL

Nice To Haves

Advanced technical degree related to controls, systems, or software development
Prior experience with FDC software (eg. TIMS, Artist, AMAT E3, Fabguard)
Experience with scripting languages Perl or Python
Experience working in high-volume semiconductor manufacturing environment
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

Responsibilities

Support manufacturing operations in a high-volume manufacturing 300mm wafer Fab running Analog Technologies
Support the manufacturing ramp with execution of FDC models that accelerate equipment/process startup and process experiments
Develop and implement improved equipment fault detection (FDC) models to prevent excursions and scrap events
Identify systemic problems in either process or equipment related sources and communicate findings to the engineering staff in a continuous manner
Participate in data analysis and problem resolution
Learn and execute in multiple manufacturing execution systems (MES) quickly and proficiently
Implement project or improvement plans for areas of responsibility including but not limited to: efficiency improvements, cost reduction or quality improvement programs, new product support and other process improvements
Apply statistical rigor through SPC modeling and other advanced data analysis methods