Manufacturing Workflow Automation Engineer (SM1)

Texas Instruments Incorporated; Sherman (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Texas Instruments Incorporated is seeking an AI Engineer focused on Thinfilms, Implant, and Epi processes to develop and automate manufacturing workflows and data pipelines. The role emphasizes AI-assisted coding to accelerate digital transformation in a high-volume wafer fab, improving yields, quality, and productivity.

You will bridge process engineering with software development, build automation tools, and deliver scalable solutions across TI sites to enhance manufacturing efficiency.

Responsibilities

• Develop and automate manufacturing workflows Qualifications, Dispositions, Process Releases, and other Critical Process Steps.
• Rapidly develop and deploy applications and automation solutions using AI code generation platforms (Claude, Copilot, Cursor, etc.) to accelerate development & implementation
• Automate lot and equipment dispositions to support continuous production flow and minimize cycle time
• Identify systematic problems in process or equipment and develop automated solutions to drive resolution
• Work with project managers and internal customers to define requirements and develop solutions that meet manufacturing needs
• Provide data solutions and pipelines that enhance manufacturing applications and decision-making
• Document software systems, usage requirements, and troubleshooting guides for manufacturing teams
• Deliver high quality automated solutions in a timely manner
• Make applications and automation tools compatible with other TI sites and data systems
• Automate repetitive tasks to drive increased efficiency
• Mentor team members across the organizations on proper software development and management techniques

Job description

Change the world. Love your job.

Texas Instruments is looking Thinfilms, Implant, and Epi AI Engineer with a passion for process and automation. This role offers the opportunity to revolutionize how our manufacturing team operates by developing and automating complex workflows for Qualifications, Material Dispositions, Process Releases, and other critical semiconductor manufacturing processes. You will leverage modern technologies and AI-driven development to drive improved efficiencies, yields, and quality in a high-volume 300mm wafer Fab. We are searching for a self-directed, highly motivated engineer to join our team.

About the job:

Texas Instruments is seeking a Thinfilms, Implant, and Epi AI Engineer who is experienced in developing software and automation solutions to enhance manufacturing quality and productivity. This role is critical to our digital transformation, bridging the gap between process engineering and advanced software development. The ideal candidate is someone who can not only understand complex semiconductor manufacturing processes but also possesses the technical expertise to build, deploy, and sustain automation tools and data pipelines. You will be building solutions that directly impact manufacturing quality and operations while helping transform how our team approaches automation through modern development techniques and AI-assisted coding.

Primary Responsibilities:

• Develop and automate manufacturing workflows Qualifications, Dispositions, Process Releases, and other Critical Process Steps.
• Rapidly develop and deploy applications and automation solutions using AI code generation platforms (Claude, Copilot, Cursor, etc.) to accelerate development & implementation
• Automate lot and equipment dispositions to support continuous production flow and minimize cycle time
• Identify systematic problems in process or equipment and develop automated solutions to drive resolution
• Work with project managers and internal customers to define requirements and develop solutions that meet manufacturing needs
• Provide data solutions and pipelines that enhance manufacturing applications and decision-making
• Document software systems, usage requirements, and troubleshooting guides for manufacturing teams
• Deliver high quality automated solutions in a timely manner
• Make applications and automation tools compatible with other TI sites and data systems
• Automate repetitive tasks to drive increased efficiency
• Mentor team members across the organizations on proper software development and management techniques