Die Prep MES Engineer: Digital Transformation & Automation

Texas Instruments Electronics Malaysia Sdn Bhd; Kuala Lumpur; On-site; MYR 60,000 - 100,000; Full time

Job summary

Texas Instruments Electronics Malaysia Sdn Bhd is seeking an Equipment Engineer to drive MES-enabled Die Prep optimization. The role begins with a 1-month TI orientation, then 1–2 years on an MES implementation project, followed by a transition into production to optimize uptime and automation in a high-volume fab.

You will define workflows, integrate hardware needs with digital designs, validate scenarios, and support UAT, with a focus on data collection and predictive maintenance.

Qualifications

• Minimum Education: Bachelor's degree in Electrical Engineering, Electrical/Computer Engineering, Chemical Engineering, Mechanical Engineering, Materials Science or related field.
• Strong hands-on semiconductor equipment experience in Die Prep/Dicing equipment with at least 2 years of relevant experience.

Responsibilities

• Represent Die Prep equipment engineering in MES rollout; define workflows, setup/recipe controls, and equipment states.
• Translate Die Prep hardware requirements into digital designs; define data collection points for equipment health and interlock logic.
• Validate integration scenarios and support UAT and deployment.
• Post-project phase: transition to production to maintain Die Prep equipment reliability and leverage MES data for predictive maintenance and automation.

Skills

MES platforms

Die Prep/Dicing equipment

Analytical thinking

Communication skills

Education

Bachelor's degree in Electrical Engineering / Electrical & Computer Engineering / Chemical Engineering / Mechanical Engineering / Materials Science Engineering

Tools

Siemens OpCenter

Job description

Texas Instruments Electronics Malaysia Sdn Bhd is seeking an Equipment Engineer to drive MES-enabled Die Prep optimization. The role begins with a 1-month TI orientation, then 1–2 years on an MES implementation project, followed by a transition into production to optimize uptime and automation in a high-volume fab.

You will define workflows, integrate hardware needs with digital designs, validate scenarios, and support UAT, with a focus on data collection and predictive maintenance.