Senior Engineer in Smart Manufacturing

6 days ago


Kuala Lumpur, Kuala Lumpur, Malaysia NXP Semiconductors Full time

Key Performance Indicators (KPIs)

The following KPIs will be used to measure the success of this role:

1. Automation Efficiency

  • Reduce manual intervention in wafer test, final test, visual inspection, and packing processes.
  • Improve overall equipment effectiveness (OEE) of probe stations, testers, and handlers.

2. Quality Control

  • Reduce defects in wafer/test/packaging processes.
  • Improve yield and quality control through AI-based defect detection and marking verification.

3. Cost Reduction

  • Reduce costs associated with manual labor and equipment downtime.
  • Improve productivity through automation and AI-driven optimization.

4. Knowledge Sharing

  • Up-skill engineers in automation, ML, and AI applications.
  • Establish best practices for machine learning model deployment and continuous improvement.

Requirements:

Bachelor's or Master's degree in Electrical Engineering, Automation, Computer Science, AI, or a related field.

8+ years of experience in semiconductor automation, ML/AI development, or smart manufacturing.

Technical skills include PLC programming, robotics, and IoT-based automation, as well as expertise in ATE systems, handlers, probe stations, and scanners automation.

Mastery of Python, TensorFlow, PyTorch, MATLAB, and AI model deployment for predictive analytics is also required.

Familiarity with big data analysis, ML-driven failure prediction, and OEE optimization is a plus.



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