Python AI Hardware Developer

Role Overview

We are looking for a hands-on AI & Edge Hardware Developer to build and deploy real-world AI-powered automation systems. At Clofus Innovations, we develop computer vision and AI systems for warehouses and factories. This is not a purely software or research role; you will work on the complete journey from experimenting with AI models to integrating hardware and deploying systems at customer sites.

Responsibilities

• Develop and optimize computer vision solutions using Python.
• Train, test, and deploy object detection, classification, segmentation, OCR, and anomaly detection models using YOLO, OpenCV, ONNX, PyTorch, and TensorRT.
• Work with camera streams, RTSP, image processing, and video analytics.
• Optimize AI models for edge devices like NVIDIA Jetson and Raspberry Pi.
• Integrate cameras, sensors, lighting, networking equipment, and other hardware components.
• Develop and test prototype hardware systems and troubleshoot hardware, software, and networking issues.
• Participate in installation, testing, and commissioning at customer locations.

Requirements

• Strong programming skills in Python.
• Good understanding of Computer Vision and Image Processing.
• Experience with OpenCV.
• Experience with at least one deep learning framework such as PyTorch.
• Experience with object detection models such as YOLO.
• Basic understanding of Linux.
• Experience or strong interest in edge AI devices such as NVIDIA Jetson or Raspberry Pi.
• Understanding of cameras, video streams, USB, Ethernet, and networking basics.

Skills

• Python
• OpenCV
• PyTorch
• YOLO
• Linux