Our client is building an AI scanning solution to help keep people safe from gun violence.

We're helping them hire a Computer Vision Engineer to help deploy software into production by building maintainable, readable, modular solutions using modern software engineering best practices.

This is a remote-friendly team, mainly working east coast time zone.

 Skills and Experience:

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

• Implementing and managing pre-processing of video to optimize the 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

• 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 C, C++, Python, Cmake, RTSP streaming, OpenCV, GStreamer, Deepstream SDK, TensorRT, Nvidia Docker, Kubernetes, and Helm Charts

• Ubuntu. RedHat/CentOS and Windows Server deployed on AWS, GCP, Azure, etc Experience with Scrum/Agile development methodologies

• Experience with Putty/Termius, Powershell, Linux/Windows command-line tool working with 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.