Position: Software Engineer (C++, CNN)
Company: FF Group
Experience required: 2y
English level: intermediate

**Place of work:** Kyiv, Prague
**Required work experience:** 2–5 years
**Type of employment:** full time, part-time, project work

Who we are looking for

We are searching for a fearless and talented personality to occupy the Software Engineer (C++, CNN) 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 

Requirements
**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

**Job description: 
**• Backend EDGE application development. IP Camera with CNN chip onboard.
• Transfer and optimization Neural networks for EDGE platform (Ambarella CVxx, Google TPU, Other EDGE CNN chips).
• Neural network training.

**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.

**Key skills
**CNN, C++, Embedded, image processing