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Machine Learning and Automation Expert
1 week ago
About NXP Semiconductors
We are a leading semiconductor company that enables the connected world we live in today. Our products drive innovation across various industries, from automotive and industrial to consumer electronics and more.
Our Vision
To empower people and businesses to innovate through technology, making life easier, safer, and more enjoyable.
Why Join Us?
At NXP Semiconductors, we offer a dynamic work environment where you can grow professionally and personally. We value diversity, inclusion, and collaboration, and strive to create a workplace where everyone feels welcome and empowered to contribute.
The Role
This is an exciting opportunity to join our team as a Principal Engineer in Automation, Machine Learning. As a key member of our engineering team, you will play a critical role in driving innovation and delivering cutting-edge solutions that make a real impact.
Responsibilities:
Develop and implement automation solutions for wafer test, final test, visual inspection, and packing processes.
Design and integrate automated test equipment (ATE), probe station automation, and handler robotics to enhance efficiency.
Implement programmable logic controller (PLC) and IoT-based automation to minimize manual intervention.
Optimize automated visual inspection with AI-based defect detection and marking verification.
Develop and deploy AI-driven machine vision for defect detection, OCR accuracy, and wafer/package quality inspection.
Use machine learning algorithms for predictive maintenance to improve overall equipment effectiveness (OEE) of probe stations, testers, and handlers.
Optimize test parameters dynamically with ML-based adaptive testing to reduce test time and improve yield.
Apply AI to analyze test data, detect failure patterns, and recommend corrective actions.
Implement ML-based predictive analytics to improve yield, OEE, and defect classification.
Reduce human reliance in visual inspection by enhancing AI-based self-learning models.
Work with internal teams to reduce vendor dependency by developing in-house automation & AI solutions.
Conduct hands-on training sessions to upskill engineers in automation, ML, and AI applications.
Provide technical mentorship on AI-based test optimization and automation programming.
Establish best practices for machine learning model deployment and continuous improvement.
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.
