Software engineer (Video back-end)

About product:
This is an intelligent video analytics platform designed to automate the process of learning and generating contextual insights from the unstructured data inside video footage. The company’s platform uses artificial intelligence built on proprietary machine comprehension services that can contextually understand the content of user’s data, enabling clients to provide contextual advertisements and product recommendations to provide a personalized experience for users. They have developed and deployed a computer vision system for industrial procedure monitoring which involves multiple cameras, on-prem servers with multiple GPUs, and a cloud component on AWS cloud. System is installed in 3 countries and we have new customers all over the world.

About the role:
We are looking for a vision engineer experienced in video streaming software. They will be expected to build a realtime production ready ML Inference pipeline using GStreamer. They will be responsible for optimizing and stabilizing a pipeline capable of streaming multiple video feeds with minimal latency on a local network. They may also be responsible for any accessory microservices and tasks needed in addition to the vision pipeline. For example visualizations or cleaning, filtering, and preparing data to upload to the cloud.

Requirements:
— 3+ years of relevant experience
— Experience with Python or C/C++
— Strong knowledge of algorithms, data-structures, OO design concepts
— Knowledge of video encoders
— MS or BS in Math/Computer Science/etc
— Good written and spoken English.

Nice-to-have skills:

— Development with GObject and GLib highly desirable
— Experience with GStreamer, Deepstream, or GPU programming
— Familiarity with computer vision.

You will work closely with the founding team and will have a great impact on the direction of the products and the company. If you’re interested in joining our new R&D team, please let us know about yourself