Senior Software Engineer, Jurong East

Job summary: With the rapid evolution of manufacturing towards Industry 4.0, traditional rule-based AOI systems are increasingly challenged by complex products, high-mix production, and stringent quality requirements.
Our team is building next-generation AI-powered industrial AOI systems, focusing on high-precision visual AOI and edge-deployable AI solutions. The goal is to enable manufacturing equipment with robust visual perception, intelligent decision-making, and scalable deployment capability.
Key Technology Directions: Deep learning based industrial visual AOI inspection Edge AI deployment for manufacturing equipment (Embedded System / Industrial IPC) Intelligent AOI system architecture for smart manufacturing
Duties/ Responsibilities: Multimodal AOI Algorithm Development – Design and implement deep neural networks for defect detection, visual alignment / positioning, irregular shape detection using visual cameras, structured-light, or X-ray data. Model Deployment & Performance Optimization – Deploy trained models on edge devices and integrate into manufacturing lines. Optimize inference performance (latency, throughput, memory) for real production lines. Explore few-shot and zero-shot AOI concepts and participate in system architecture design and implementation using large language models. Involved in Smart Factory AI Agents System design and implementation.
Requirements: Master's degree or above in Computer Vision, Machine Learning, Automation, Industrial AI / AOI or related fields. Solid understanding of Solid understanding of computer vision and deep learning fundamentals. Practical experience with defect detection, segmentation, visual alignment / positioning, and common AOI algorithms. Hands-on experience with multimodal deep neural network models fine-tuning and inference optimization. Proficiency in Python and PyTorch, and Linux C/C++ programming. Preferred experience with: Industrial cameras and lighting NVIDIA TensorRT, CUDA, or edge AI optimization ROS 2 or real-time system integration Understanding of industrial communication protocols(EtherCAT, CAN), or PLC integration Experience deploying AI models in real production lines Experience with multimodal or vision-language models Exposure to intelligent factory or AI agent concepts