Vision Engineer 3 (N)

Sanmina; Región Centro; On-site; MXN 600,000 - 900,000; Full time

Job summary

Sanmina Corporation seeks a Level 3 Computer Vision Engineer to design, train, and deploy custom vision models for manufacturing applications. You will oversee the full lifecycle from data acquisition to integration with production line hardware and software.

Strong expertise in deep learning, NVIDIA Jetson/TAO Toolkit, and DeepStream-based real-time analytics for industrial deployments is required.

Qualifications

• Extensive experience in image processing, object detection, and image segmentation.
• Hands-on experience 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.
• Implementation of real-time video analytics applications using the NVIDIA DeepStream SDK, which provides a framework for building efficient, high-performance vision AI pipelines.
• 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.

Responsibilities

• Design, train, and deploy computer vision models for manufacturing applications across the project lifecycle.
• Integrate vision systems with production line hardware and software.

Skills

Image processing

Object detection

Image segmentation

Edge AI deployment

Transfer learning

Tools

Jetson Edge AI

TAO Toolkit

DeepStream SDK

NVIDIA Omniverse

Job description

Description

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.

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

• "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"