Senior Vision AI Engineer – Warehouse Automation

L&T Technology Services; Atlanta (GA); On-site; USD 110,000 - 170,000; Full time

Job summary

L&T Technology Services is seeking a Senior Computer Vision Engineer to develop Vision AI solutions for warehouse automation systems. You will design, develop, and deploy computer vision algorithms for inventory monitoring, obstacle detection, robot monitoring, safety analytics, and operational optimization.

You will collaborate with cross-functional teams and deliver PoCs, customer demonstrations, and deployments, while optimizing models for edge and GPU platforms.

Qualifications

• Bachelor's or Master's degree in Computer Science, Electronics, Robotics, AI, or related field.
• 5+ years of hands-on experience in Computer Vision and AI solution development.

Responsibilities

• Develop computer vision and AI-based solutions for AutoStore warehouse environments.
• Design and implement object detection, tracking, segmentation, and anomaly detection models.
• Work on camera selection, calibration, and vision system setup.
• Develop real-time video analytics solutions for warehouse operations.
• Integrate vision solutions with robotics, edge devices, and cloud platforms.
• Optimize AI models for deployment on edge and GPU platforms.
• Collaborate with product, robotics, and software engineering teams.
• Support solution architecture, PoCs, customer demonstrations, and deployments.

Skills

Python

C++

OpenCV

PyTorch

TensorFlow

Object Detection

Tracking

Segmentation

OCR

YOLO

Camera systems

Linux

Education

Bachelor's or Master's degree in Computer Science/Engineering/AI/related

Tools

NVIDIA Jetson

Docker

HALCON

Cognex

Industrial Vision Systems

Edge AI

Job description

L&T Technology Services is seeking a Senior Computer Vision Engineer to develop Vision AI solutions for warehouse automation systems. You will design, develop, and deploy computer vision algorithms for inventory monitoring, obstacle detection, robot monitoring, safety analytics, and operational optimization.

You will collaborate with cross-functional teams and deliver PoCs, customer demonstrations, and deployments, while optimizing models for edge and GPU platforms.