SM Fab Fault Detection (FD) Engineer

Texas Instruments • Sherman, TX

6d • Onsite

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level