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C/C++ Video Pipeline Engineer


Eagle Eye Networks


Location

Bangalore | India


Job description

About Eagle Eye Networks

Eagle Eye Networks is the world's leading cloud video surveillance platform. Powered by an ever evolving set of powerful AI and analytics, our open platform provides global security, instantaneous visibility and customizable insights directly to our customers on the Web, Desktop and Mobile.

Overview

One of the flagship AI products of Eagle Eye Networks is its License Plate Recognition. This runs on edge devices and provides valuable analytics through License Plate Reads. As an embedded Software Engineer, you would be working on all aspects of the software, that include:

  • Algorithmic changes and new feature additions.
  • Code maintenance and stability on multiple platforms (CPU and GPU based)
  • Orchestration of ML models on OpenVINO and TensorRT.
  • Release, deployment management using Docker, OTA and Concourse pipelines.
  • Ownership of Device monitoring services and improvement of monitoring metrics

Experience: 3-6 Years

Desired Skills

  • Bachelors or masters in Computer Science or equivalent
  • Good knowledge of data structures and algorithms
  • Familiarity with C/C++ is a must, Python is good to have.
  • Sharp problem solving skills and ability to resolve ambiguous requirements
  • Familiarity with multi-threaded programming and system design on embedded platforms
  • Knowledge of Linux OS and related concepts, IPC, Messaging (e.g. ZMQ)
  • Familiarity of microservices delivery paradigm and containerization (Docker)
  • Familiarity with S/W Engineering processes, CI/CD, Agile methodology, Version Control
  • Working Knowledge of network protocols e.g. TCP, UDP is a plus.
  • Knowledge of runtime AI frameworks like TensorRT, OpenVino and Computer Vision libraries like OpenCV is a plus.

Eagle Eye Engineering

Our engineering teams take products from ideation through development and deployment. Businesses all over the world trust us to operate in real time as our solutions gather, process, view and add insight to petabytes of real time video all hosted in our own secure data centers.. No matter if you wish to develop lightweight microservices, ground breaking AI or delightful web or mobile user experiences, we have a challenge for you.

Sound Exciting Join us! Submit your resume at


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