Senior Systems Software Engineer, Semiconductor Systems Inspection

Role responsibilities

Develop and prototype AI system architectures and inference pipelines for semiconductor defect inspection and analysis. Convert research momentum into production-ready AI products for industrial inspection scenarios in fabrication environments.

Requirements

Requires a Master's or PhD in Computer Science, Electrical Engineering, or a related field with 3+ years of experience in deep learning and computer vision. Proficiency in Python and modern deep learning frameworks like PyTorch or TensorFlow is essential.

Key skills

Deep Learning, Machine Learning, Computer Vision, Python, PyTorch, TensorFlow, Anomaly Detection, Model Compression, Multimodal AI, Domain Adaptation, TensorRT, CUDA, Triton, DeepStream, TAO Toolkit, RAPIDS

Keywords

Semiconductor, Inspection, Computer Vision, Multimodal AI, Anomaly Detection, Model Compression, Inference Pipelines, Python, PyTorch, TensorFlow, TensorRT, CUDA, cuDNN, Triton, DeepStream, TAO Toolkit, RAPIDS, Metrology, Defect Review, Domain Transfer, Few-shot Learning, Self-supervised Learning, Quantization, Pruning, Knowledge Distillation, Wafer Inspection, Mask Inspection, E-beam Inspection, Optical Inspection, Fabrication Facilities