Computer Vision Engineer

About Us

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: Eagle Eye’s flagship surveillance products on the cloud ingest powerful analytics and metadata from a variety of video analytics engines running on the edge and the cloud. One such engine is the Eagle Eye LPR, a high accuracy feature rich engine for License Plate Recognition. Learn more at een.com.

Eagle Eye Engineering

Our full stack 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.

Summary

As a Computer Vision engineer, you will be part of the team that develops new functionality and enhances existing functionality using State of the Art Computer Vision and Machine Learning Algorithms. You will work closely with a motivated team to take concepts from ideation to deployment.

Experience

• 3+ Years experience
• Excellent programming skills in C++, Python
• Excellent understanding of computer vision concepts, including knowledge of using OpenCV.
• Exposure to Data structures / Algorithms
• Strong knowledge of software design principles, patterns, and S/W Engg practices ● Ability to design and document code, write unit tests
• Familiarity with GPU computing (CUDA)
• Hands-on experience in software development on Linux platforms
• Experience in FP16/Mixed Precision and INT8 Optimised Inference on Intel/Nvidia Hardware
• Exposure to deep learning algorithms for Image Classification, Object Detection, Semantic Segmentation and OCR would be a big plus
• Familiarity with anyone of the deep learning frameworks - Pytorch, TensorFlow etc would be a big plus
• Experience with Docker and messaging systems would be big plus
• Strong Problem Solving & Communication skills
• Highly Motivated, Creative and a Team player

Sound Exciting? Join us! Submit your resume at [email protected]

More About Eagle Eye Networks

Eagle Eye Networks is leveraging artificial intelligence on its true cloud platform to dramatically reshape the video surveillance and security industry. The Eagle Eye Cloud Video Management System (VMS) is a smart cloud video surveillance solution, purpose-built to help businesses improve safety, security, operations, and customer service. Tens of thousands of companies in more than 90 countries around the globe have moved their video surveillance to the cloud with Eagle Eye VMS. Customers, including multi-family residences, smart cities, schools, hospitals, hotels, logistics, restaurants, and retail shops trust Eagle Eye for actionable business intelligence and proactive security across multiple locations. The Eagle Eye VMS has strong APIs for the secure integration of third-party systems and works with thousands of industry cameras, so customers don’t have to “rip and replace” their existing infrastructure. Eagle Eye Cloud VMS is the only platform robust enough to power the future of video surveillance. 

Eagle Eye Networks is an equal employment opportunity employer and values diversity. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.