GaN Diffusion Process Engineer - Yield & Process

118-WW TMG MFG OPS; Lenexa, Town of Texas (KS, WI); On-site; USD 90,000 - 130,000; Full time

Job summary

Texas Instruments in the United States is seeking a Diffusion Process Engineer to support manufacturing operations and new process development. The role focuses on qualifying and improving diffusion processes to improve yields and efficiency in a ramping-fab environment.

The candidate should have a bachelor’s degree in a related engineering field and 2+ years of diffusion experience, with strong emphasis on data analysis and root-cause investigation.

Qualifications

• Minimum requirements include a bachelor degree in a related engineering or physical science field and 2 years of relevant diffusion process experience.
• Candidates should have familiarity with diffusion fundamentals such as dopant activation, concentration profiles, and sheet resistance.
• Experience in a semiconductor environment and with process control systems is preferred.

Responsibilities

• Support manufacturing operations and new process development.
• Qualify new or enhance existing processes to diversify the product portfolio in a ramping-fab environment.
• Develop and implement improved manufacturing methods to increase efficiency, yield, and quality.
• Lead root-cause investigations for excursions or yield issues.
• Identify and communicate systematic process/equipment problems to engineering staff.
• Primary role in data analysis and problem resolution.

Skills

Analytical thinking

Problem-solving

Communication skills

Time management

Interpersonal skills

Self-motivation

Education

Bachelor's degree in Chemical Engineering, Chemistry, Electrical Engineering, Materials Science Engineering, Mechanical Engineering, Physics, or related field

Tools

Microsoft Office

SPC (statistical process control)

APC (advanced process control)

GaN-on-Si experience

Job description

Texas Instruments in the United States is seeking a Diffusion Process Engineer to support manufacturing operations and new process development. The role focuses on qualifying and improving diffusion processes to improve yields and efficiency in a ramping-fab environment.

The candidate should have a bachelor’s degree in a related engineering field and 2+ years of diffusion experience, with strong emphasis on data analysis and root-cause investigation.