Principal Engineer in Automation, Machine Learning & AI
Job Description
NXP Semiconductors, a global leader in secure connectivity solutions for embedded applications, is seeking a Principal Engineer in Automation, Machine Learning & AI to spearhead their technological transformation. This role combines cutting-edge AI/ML implementation with practical semiconductor manufacturing optimization.
The position offers a unique opportunity to lead the automation and AI-driven transformation of wafer test, final test, visual inspection, and packing operations. You'll be at the forefront of implementing smart manufacturing solutions, developing AI-driven machine vision systems, and optimizing semiconductor testing processes using advanced machine learning techniques.
As a Principal Engineer, you'll be responsible for developing and integrating sophisticated automation systems while leveraging ML and AI to enhance cost efficiency, quality control, and predictive analytics. The role extends beyond technical implementation to include mentoring and building in-house expertise in automation, ML, and AI applications.
The ideal candidate will bring 8+ years of experience in semiconductor automation or ML/AI development, along with deep technical expertise in Python, TensorFlow, PyTorch, and MATLAB. You'll work with cutting-edge technologies in machine vision, predictive maintenance, and automated testing while having the opportunity to shape the future of semiconductor manufacturing processes.
NXP offers a collaborative environment focused on innovation and sustainability, with opportunities for career development through various learning programs. The company's commitment to diversity and inclusion, combined with its position as a leader in the semiconductor industry, makes this an excellent opportunity for a seasoned professional looking to make a significant impact in the intersection of AI and manufacturing.
Responsibilities For Principal Engineer in Automation, Machine Learning & AI
- Design and implement automation solutions for wafer test, final test, visual inspection, and packing processes
- Develop and integrate ATE, probe station automation, and handler robotics
- Implement PLC, robotics, and IoT-based automation
- Develop and deploy AI-driven machine vision for defect detection
- Optimize test parameters with ML-based adaptive testing
- Implement ML-based predictive analytics
- Conduct training sessions and provide technical mentorship
- Establish best practices for machine learning model deployment
Requirements For Principal Engineer in Automation, Machine Learning & AI
- Bachelor's or Master's degree in Electrical Engineering, Automation, Computer Science, AI, or related field
- 8+ years of experience in semiconductor automation, ML/AI development, or smart manufacturing
- Expertise in PLC programming, robotics, and IoT-based automation
- Proficiency in Python, TensorFlow, PyTorch, MATLAB
- Experience in OCR, AI-based defect classification, and automated visual inspection
- Knowledge of big data analysis, ML-driven failure prediction
- Strong problem-solving and analytical skills
- Excellent communication and training abilities
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