Senior Software Engineer

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