Mold and Symbol Trim Form (EOL) Process Engineer (MES Project)

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Texas Instruments is seeking a Process Engineer to lead the digital design of our Mold and Symbol Trim Form (STF) manufacturing processes. This is a unique, multi-phase role: following a 1 month TI orientation familiarizing with TI systems while being deployed into a critical MES implementation project team for 1–2 years. Once the system is live, you will return to a production role, using your knowledge of digital process controls to drive yield and efficiency.

Key Responsibilities:

• MES Implementation (Project Phase): Drive EOL manufacturing process design (Mold and STF) within the MES. Define process flows, routing, material handling, and traceability.
• Control & Exception Handling: Define digital process controls and exception handling logic (e.g., Mold cure excursions and STF dimension/trimming holds, rework, and material disposition).
• Validation & Alignment: Align requirements with manufacturing and quality teams. Validate proposed digital workflows and support UAT and deployment for both process areas.
• Sustaining (Post-Project Phase): Transition to production to manage process stability and use MES-driven data to optimize Mold and STF parameters to improve yield and efficiency.

Minimum requirements:

• Bachelor's degree in Chemical Engineering, Chemistry, Electrical Engineering, Materials Science Engineering, Mechanical Engineering, Physics, or a related field
• Strong hands-on semiconductor process experience in with Mold equipment (e.g., Towa, ASM) AND/OR Symbol Trim Form equipment (e.g., ASM, Besi), with minimum 2 years of relevant experience
• Strong foundation in statistical process control, engineering change control and process release strategies

Preferred qualifications:

• Experience working with MES platforms, whether Siemens OpCenter or another comparable MES product modeling or configuration
• Working awareness of PAC-related integration and adjacent automation flows, sufficient to identify cross-system impacts and escalate early
• Experience in optimizing process optimization and yield enhancement
• 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 result