Description
Applied Materials is hiring a full-time Semiconductor Computer Vision Engineer in Santa Clara, California, to lead research, design, development, and implementation of computer vision and machine learning algorithms for semiconductor process-control tools. The role focuses on defect detection, classification, metrology, image analysis, algorithm feasibility, validation, benchmarking, production-quality code, and GPU-optimized performance. Candidates should have semiconductor industry experience, strong computer vision and deep learning expertise, C/C++ and Python skills, experience with TensorFlow, PyTorch, or similar frameworks, and knowledge of CUDA or OpenCL.
