Our company is a Software Vendor Company, we develop our own algorithms for video analytics on cameras and on servers and further sell them to our partner network.

Who we are looking for

We are searching for a fearless and talented personality to occupy the Embedded CNN developer position who will be engaged in developing new products based on machine learning and computer vision technologies: license plate recognition, vehicle detection, and classification Object detection and recognition, color recognition...

The person should be able to take the challenges and become a part of the deployed international team and will work closely with colleagues in different countries.

Main task: Transfer, optimization, and development of core deep learning video analytics algorithms to EDGE platforms (ARM+CNN chips):
• Ambarella CVxx
• Google TPU
• Other EDGE CNN chips

Must have:
• Strong experience with embedded development
• Strong knowledge in machine learning and deep learning fundamentals;
• Strong knowledge C++;
• Experience in Computer Vision area(Image Segmentation, Object Detections, and classifications…)
• Experience working in Linux, Unix environments.
• Programming experience with the following frameworks: Tensorflow /Keras

What we offer:
• Experience in highly innovative product development.
• Work in one team with LPR industry leaders on real-world projects.
• Non-standard and creative tasks.
• Dynamic, challenging and creative environment for work and self-study.
• Experience working with global security industry leaders.
• Competitive salary.
• Warm and friendly atmosphere.

About FF Group

FF Group companies offer out-of-box intelligent security solutions on the EDGE (IP video camera processor), that support traffic, access control, and parking management projects.
The company implements a range of unique, smart, and cost-effective solutions built on vehicle plate, make and model recognition technology and situation analysis (cloud analytics), “camera-to-camera” technology based on many years of experience in data science, huge accumulated datasets, own mathematical approach, and deep learning.

Company website:

DOU company page:

Job posted on 18 June 2022
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