In this position you will be:

• Developing Gstreamer pipelines written in C to connect to and stream real-time video


• Implementing and managing pre-processing of video to optimize performance of deep learning models


• Working with state of the art deep learning frameworks to deploy object detection models for inference


• Testing and optimizing GStreamer pipelines to maximize hardware performance


• Helping to build, automate and customize deep learning training and inference environments


• Working with Nvidia’s Deepstream SDK, TensorRT, Nvidia Docker, Kubernetes and Helm Charts


• Writing and optimizing GStreamer plugins to manipulate video and image data Requirements Skills, Experience, Certifications


• C, C++, Python, Cmake


• RTSP streaming, OpenCV, GStreamer, Deepstream SDK, TensorRT, Nvidia Docker, Kubernetes and Helm Charts


• *Ubuntu. RedHat/CentOS and Windows Server a plus


• Experience with AWS, GCP, Azure, etc a plus


• Experience with Scrum/Agile development methodologies


• Experience with Putty/Termius, Powershell, Linux/Windows command line tools


• Installing Nvidia drivers, Cuda, cuDNN


• Knowledge of GPU hardware and performance testing


• Experience with VMS and DVR/NVR


• C#, Go, Postgres DB, ASP.NET Core a plus


• Minimum 5 years of related experience or equivalent blend of education and experience.