The Level 3 Computer Vision Engineer can independently design, train, and deploy custom computer vision models for specific manufacturing applications. They are responsible for the entire lifecycle of a vision project, from data acquisition to integration with production line hardware and software. This role requires in-depth knowledge of deep learning architectures and the practical challenges of deploying AI in an industrial environment. KNOWLEDGE Proven experience in designing and training deep learning models for computer vision tasks. "Extensive experience in image processing techniques, object detection, and image segmentation.1 Hands-on experience in deploying and optimizing vision models on NVIDIA Jetson Edge AI platforms (e.g.,



Jetson Orin series)." "Proficiency with the NVIDIA TAO Toolkit, leveraging its transfer learning capabilities to rapidly adapt and fine-tune high-performance models for specific factory tasks.16 Implementation of real-time video analytics applications using the NVIDIA DeepStream SDK, which provides a framework for building efficient, high-performance vision AI pipelines.10 Utilization of NVIDIA Omniverse to visualize factory layouts and test camera placement in a simulated 3D environment, improving vision system design prior to physical installation.20"

📌 Vision Engineer 3 (Ixtlahuacán de los Membrillos)
🏢 Sanmina
📍 Ixtlahuacán de los Membrillos