Position: Computer Vision Engineer
Category: Data Science
English level: upper
Years of experience: 9

- build real-time non-GPS based navigation for UAV  (with up to 10-20 meters accuracy on < 5 km flight in perfect weather conditions)
- build QR-code based indoor navigation in warehouse with additional sensor fusion (IMU, wheel encoders) with 10 cm accuracy on 1.8 m/s speed.
- setting up hardware-accelerated video processing pipelines for multiple video sources
- preparing hardware-accelerated deep learning models for edge devices inference
Most relevant is 2 year experience in Robotics developing non-GPS navigation for ground-based robot (in warehouse) and UAV (outdoors). 
Experience with: Ardupilot (a bit PX4); ORB-SLAM/VINS-Mono (Fusion); Simulation environments (AirSim, Gazebo, Ardupilot SITL); Visual/Visual-Inertial navigation;
Military Technologies in Robotics (both flying and ground-based) software development (for example, flight controllers development, visual non-gps navigation, loitering, path planning). The project can be commercial, government organization, or on volunteer-based.