Die Prep Equipment Engineer (MES Project)

Texas Instruments Incorporated; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Texas Instruments Incorporated is seeking an Equipment Engineer to drive a digital transformation project in Die Prep MES implementation. The role includes a 1-month orientation, then deployment on a 1-2 year project team, followed by a transition to production optimizing equipment uptime and automation in high-volume manufacturing.

The position emphasizes MES expertise, cross-functional collaboration, and data-driven improvements for reliability and performance in a manufacturing setting.

Qualifications

• Experience with MES systems and manufacturing equipment.
• Ability to design workflows and controls for equipment in MES.
• Ability to read hardware requirements and translate to digital designs.

Responsibilities

• Lead MES implementation as part of the Die Prep project team.
• Define workflows, setup/recipe controls, and equipment states.
• Translate hardware requirements into digital designs and data points.
• Support validation, UAT, and transition to production after the project.

Skills

MES implementation

Equipment engineering

Data collection

Job description

Change the world. Love your job.

Join TI as a specialized Equipment Engineer to drive the digital transformation of our Die Prep lines. 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. Upon successful project completion, you will transition into a production role, utilizing your deep MES expertise to optimize equipment uptime and automation in a high-volume manufacturing environment.

Key Responsibilities:

• MES Implementation (Project Phase): Represent Die Prep equipment engineering in the MES rollout. Define workflows, setup/recipe controls, and equipment states.
• Integration & Data: Translate Die Prep hardware requirements (e.g., dicing/sawing mechanics) into digital designs. Define data collection points for equipment health and interlock logic.
• Validation: Validate integration scenarios and support UAT and deployment.
• Sustaining (Post-Project Phase): Transition to production to maintain Die Prep equipment reliability and leverage MES data for predictive maintenance and automation.