AI Edge device Developer in Yael Acceptic

We are seeking an experienced AI Edge Device Developer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and optimizing AI algorithms and models for deployment on edge devices. Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced environment are essential for success in this role. If you are passionate about pushing the boundaries of AI at the edge and thrive in a collaborative environment, we encourage you to apply.About:Our client is developing electro-mechanical devices for dairy farms, pulsators and automatic detachers. The solution is leading in the industry with advanced cow monitoring solutions based on activity and rumination sensors. Responsibilities:- Designing, developing, and optimizing computer vision pipelines for deployment on edge devices;- Cross-compiling solutions for various CPU/NPU/VPU types. Perform performance analysis and optimization to ensure real-time processing capabilities on edge devices;- You will face real-life challenges and complexities emerging from working closely with our AI researchers to provide market leading products.Requirements:- 5+ years experience in Python, C/C++;- Hands-on experience with GStreamer or DeepStream;- Experience with TensorRT, ONNX;- Experience with processing multiple video streams;- Hand-on experience with ML accelerators, such as: Nvidia Jetson, Google Coral;- Proficient in Linux;- Proficient in Git version control;- Bachelor's Degree in Computer Engineering, Computer Science or related fields;- At least Upper-Intermediate English level.Would be a plus:- Understanding of concepts in signal processing, machine learning and computer vision;- Familiarity with machine learning frameworks such as TensorFlow, PyTorch;- Neural network models quantization and pruning;- Familiarity with building Docker images (Docker files);- Understanding of CI/CD processes for production code, unit tests, and regression testing;- Knowledge of CUDA.