Computer Vision Engineer in SoftSuccessora

Vacancy: Computer Vision Engineer (Python / OpenCV / Neural Networks)

Work format

• Full-time

• Remote / Hybrid / On-site (discussed)

• Project in the field of autonomous systems and video analytics

Responsibilities

• Development and optimization of computer vision algorithms for video, cameras

• Implementation of detection, tracking and classification of objects in real time

• Integration CV algorithms with autopilots via MAVLink

• Working with neural networks (CNN, lightweight models, custom architectures)

• Building emulation environments for testing algorithms without a real drone

• Analyzing and improving accuracy, FPS, latency and system stability

• Participation in the design of the architecture of CV pipelines (camera > inference > control)

Requirements Mandatory

• Confident command of Python

• Practical experience with OpenCV

• Experience with neural networks (PyTorch / TensorFlow or own implementations)

• Understanding the principles of:

  • motion detection

  • optical flow

  • tracking (KCF, CSRT, Kalman, custom)

• Experience of integration with real-time systems or robotics

• Ability to profile and optimize code

Desired

• Experience working with ArduPilot

• Experience working with simulators: Gazebo, AirSim, JSBSim

• Understanding SLAM / Visual Odometry

• Experience with thermal imaging cameras

• Experience with Linux, Docker

Technology stack

• Python, OpenCV

• PyTorch / TensorFlow

• MAVLink

• GStreamer / FFmpeg

• ROS / ROS2 (will be a plus)

• Linux, Docker