* Develop and optimize real-time video processing pipelines on CPU/GPU/CUDA.
* Integrate and optimize deep learning models (PyTorch → TensorRT/ONNX) for Edge AI platforms such as NVIDIA Jetson and Rockchip.
* Implement camera calibration, image geometry, and Kalman filter-based tracking.
* Develop computer vision algorithms, including object detection, tracking, segmentation, optical flow, and morphological image processing.
* Design reliable, fault-tolerant software with a strong focus on performance profiling, debugging, and system diagnostics.
## Requirements
* Strong proficiency in modern C++ (C++17 or later), including multithreading, synchronization, and network programming, as well as Python.
* Hands-on experience training, adapting, and optimizing deep learning models for Edge AI platforms (TensorRT, CUDA, ONNX Runtime) while maintaining model accuracy.
* Practical experience with OpenCV, PyTorch, YOLO (including fine-tuning), TensorRT, and CUDA.
* Solid understanding of geometric computer vision, including camera calibration, Perspective-n-Point (PnP), and homography.
* Experience developing and optimizing software for ARM Linux-based embedded systems.
* Experience working with datasets, model evaluation metrics, and validation pipelines.
## What We Offer
* Full-time, on-site position in Abu Dhabi, UAE.
* Relocation support, visa sponsorship, and comprehensive medical insurance.
* Competitive compensation starting from USD 8,000 net per month.
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