Vision Systems Engineer 4
Core
Design, develop, and deploy computer vision and machine learning algorithms for detection, classification, segmentation, and predictive analytics in semiconductor equipment.
Role type
Senior IC machine-learning engineer (computer vision)
Builds
Production AI/ML systems for equipment intelligence and process control
Domain
Semiconductor manufacturing / Industrial automation
Deliverable
production ML models
Required skills
Computer Vision, Machine Learning, Deep Learning, Statistical Modeling, Image Processing, C/C++, Python, TensorFlow, PyTorch, OpenCV, CNNs, Object Detection, Segmentation, Anomaly Detection, MLOps, Cloud Platforms (Azure/AWS/GCP)
Preferred skills
Semiconductor manufacturing experience, Optical systems knowledge, Imaging hardware expertise
Technologies
TensorFlow, PyTorch, OpenCV, Azure, AWS, GCP
Responsibilities
Design and deploy computer vision algorithms for detection, classification, segmentation, and predictive analytics; Build scalable ML models using image, video, and multimodal sensor data; Lead the complete data science lifecycle from data collection to monitoring; Develop robust image-processing pipelines; Define data quality standards and model performance metrics; Collaborate with cross-functional teams to deliver integrated vision solutions; Conduct root-cause analysis to improve yield and process stability; Mentor junior engineers on data science and ML best practices
Seniority
Senior, hands-on IC