Automation and AI Engineering Lead

1 day ago


Kuala Lumpur, Kuala Lumpur, Malaysia NXP Semiconductors Full time

Job Overview

NXP Semiconductors is seeking a highly skilled Principal Engineer in Automation, Machine Learning to lead the transformation of our wafer test, final test, visual inspection, and packing operations. This role will be responsible for developing, integrating, and optimizing automation systems, leveraging machine learning and artificial intelligence to improve cost, quality control, efficiency, and predictive analytics.

Key Responsibilities:

1. Automation Strategy

  1. Develop and implement automation solutions for wafer test, final test, visual inspection, and packing processes.
  2. Design and integrate automated test equipment (ATE), probe station automation, and handler robotics to enhance efficiency.
  3. Implement programmable logic controller (PLC) and IoT-based automation to minimize manual intervention.
  4. Optimize automated visual inspection with AI-based defect detection and marking verification.

2. Machine Learning Integration

  1. Develop and deploy AI-driven machine vision for defect detection, OCR accuracy, and wafer/package quality inspection.
  2. Use machine learning algorithms for predictive maintenance to improve overall equipment effectiveness (OEE) of probe stations, testers, and handlers.
  3. Optimize test parameters dynamically with ML-based adaptive testing to reduce test time and improve yield.
  4. Apply AI to analyze test data, detect failure patterns, and recommend corrective actions.

3. Data-Driven Optimization

  1. Implement ML-based predictive analytics to improve yield, OEE, and defect classification.
  2. Reduce human reliance in visual inspection by enhancing AI-based self-learning models.
  3. Work with internal teams to reduce vendor dependency by developing in-house automation & AI solutions.

4. Knowledge Transfer

  1. Conduct hands-on training sessions to upskill engineers in automation, ML, and AI applications.
  2. Provide technical mentorship on AI-based test optimization and automation programming.
  3. 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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