Plasma/Dry Etch Process Engineer — 24/7 Fab Optimization

Texas Instruments Incorporated; Dallas, Northern (TX, KY); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Texas Instruments Incorporated is seeking a Manufacturing Process Engineer to support 24/7 manufacturing operations in a high-volume 300mm wafer fab for Analog Technologies. The role focuses on developing and implementing improved manufacturing methods, procedures, and processes to enhance efficiency, yield, and product quality.

The successful candidate will drive improvement plans, perform lot and equipment dispositions, and participate in data-driven problem resolution and ramp activities,

Responsibilities

• Support 24/7 manufacturing operations
• Develop and implement improved methods of manufacturing, procedures, and processes that result in improved efficiencies, yields, machine operations, and quality
• 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
• Perform lot and equipment dispositions to support the continuous flow of production and to minimize cycle time in a high volume manufacturing 300mm wafer Fab running Analog Technologies
• Identify systematic problems in either process or equipment related sources and communicating findings to the engineering staff in a continuous manner
• Support the manufacturing ramp with execution of equipment/process startup, process experiments (SWRs)
• Participate in data analysis and problem resolution

Job description

Texas Instruments Incorporated is seeking a Manufacturing Process Engineer to support 24/7 manufacturing operations in a high-volume 300mm wafer fab for Analog Technologies. The role focuses on developing and implementing improved manufacturing methods, procedures, and processes to enhance efficiency, yield, and product quality.

The successful candidate will drive improvement plans, perform lot and equipment dispositions, and participate in data-driven problem resolution and ramp activities,