Fault Detection Engineer: Factory Automation & Data Analysis

Texas Instruments; Dallas (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

Texas Instruments is seeking an energetic engineer to drive process control and automation in a new factory startup. You will collaborate with process engineering, equipment automation, data engineering, and data science teams to reduce downtime, improve repeatability, and protect the factory from wafer-loss events.

The role focuses on developing and implementing FDC models, performing data analysis, and applying SPC techniques to drive improvements in a high-volume 300mm wafer fab.

Qualifications

• 2 years relevant experience in at least two: 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.

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/startup and process experiments
• Develop and implement improved equipment fault detection (FDC) models to prevent excursions and scrap events
• Identify systemic problems in 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

Skills

Fault Detection

Semiconductor Process Engineering

Data Analytics

Python

SQL

Education

Bachelor’s degree in Chemical Engineering, Electrical Engineering, Mechanical Engineering, Materials Science, Computer Science, Software Engineering or related field

Job description

Texas Instruments is seeking an energetic engineer to drive process control and automation in a new factory startup. You will collaborate with process engineering, equipment automation, data engineering, and data science teams to reduce downtime, improve repeatability, and protect the factory from wafer-loss events.

The role focuses on developing and implementing FDC models, performing data analysis, and applying SPC techniques to drive improvements in a high-volume 300mm wafer fab.