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.

• Up to 25% travel