AI Vision Engineer 2 (N)

Sanmina Corporation; Región Centro; Presencial; MXN 480.000 - 780.000; Jornada completa

Descripción de la vacante

Sanmina Corporation is seeking a Software QA Engineer 2 focused on AI-enabled manufacturing software. You will design and validate test plans for vision-powered systems, ensuring reliability from data ingestion to deployment on production hardware.

The role requires collaboration with hardware and software teams to verify deep learning components and edge AI integrations using NVIDIA Jetson platforms and DeepStream pipelines, contributing to robust factory automation.

Formación

• Proven experience in designing and training deep learning models for computer vision tasks.
• Experience with image processing, object detection, and image segmentation.
• Hands-on deployment and optimization of vision models on NVIDIA Jetson edge AI platforms.
• Proficiency with the NVIDIA TAO Toolkit for transfer learning.
• Experience deploying real-time video analytics with the NVIDIA DeepStream SDK.
• Using NVIDIA Omniverse for 3D visualization of factory layouts and camera testing.

Conocimientos

Deep learning for computer vision

Image processing

Object detection

Image segmentation

NVIDIA Jetson edge AI

NVIDIA TAO Toolkit

NVIDIA DeepStream SDK

NVIDIA Omniverse

Herramientas

NVIDIA Jetson

NVIDIA TAO Toolkit

NVIDIA DeepStream SDK

NVIDIA Omniverse

Descripción del empleo

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Category (For Job Seekers)

Location

Job Description

Software QA Engineer 2

The AI Vision Engineer 2 can independently design, train, and deploy custom computer vision models for specific manufacturing applications. They are responsible for the full lifecycle of a vision project, from data acquisition to integration with production line hardware and software. This role requires a deeper understanding of deep learning architectures and the practical challenges of deploying AI in an industrial environment.

• Proven experience in designing and training deep learning models for computer vision tasks.
• Strong experience with image processing, object detection, and image segmentation techniques.1
• Hands-on experience deploying and optimizing vision models on NVIDIA Jetson edge AI platforms (e.g., Jetson Orin series).
• Proficient with the NVIDIA TAO Toolkit, using its transfer learning capabilities to rapidly adapt and fine-tune high-performance models for specific factory tasks.16
• Deploys real-time video analytics applications using the NVIDIA DeepStream SDK, which provides a framework for building efficient, high-throughput vision AI pipelines.10
• Begins to use NVIDIA Omniverse for visualizing factory layouts and testing camera placements in a simulated 3D environment, improving the design of vision systems before physical installation.20