Middle Computer Vision / Visual Navigation Engineer

Overview

We are looking for a Middle Computer Vision / Visual Navigation Engineer to improve and extend our GPS-independent navigation stack.

This is a hands-on R&D role: you work with real flight data, bring algorithms from experimentation to production, and collaborate closely with software and flight teams. Day to day you balance navigation and CV development, post-flight analysis, sensor calibration, and integration work. The role suits someone who is comfortable with classical geometry-based CV, modern feature pipelines, and turning prototypes into stable behavior on constrained hardware.

Responsibilities

Navigation & computer vision

• Improve existing visual-inertial navigation on real UAV platforms - both copters and planes
• Develop and refine algorithms for estimating position and orientation from camera and onboard sensor data
• Research and implement additional computer vision that extend the current system (e.g. use of satellite data, map or scene-based cues)
• Handle difficult real-world conditions: vibration, blur, changing scenery, sensor noise, and platform-specific setup differences

Flight analysis & tooling

• Analyze flight recordings to find issues, propose fixes, and verify improvements
• Extend automated post-flight analysis to reduce repetitive manual work
• Define clear quality metrics and use them to judge whether changes are ready for the deployment

Calibration

• Improve calibration procedures for cameras, IMU, and related sensors on new platforms
• Make calibration more repeatable and less dependent on one-off manual steps

Cross-team delivery

• Work closely with software and flight teams on testing, integration, and rollout
• Bring new methods into the production system with attention to performance and reliability
• Document limitations, risks, and operational guidance for the rest of the team

Required skills & experience

• 2+ years of practical experience in computer vision
• Solid fundamentals in image processing and geometric computer vision (camera models, epipolar geometry, robust estimation)
• Good Python for prototyping, analysis, and integration
• Practical production mindset
• English B2+ for documentation and technical discussion; Ukrainian for day-to-day team communication

Nice to have

• Experience with multi-sensor fusion / SLAM / EKF
• Sensor calibration experience on robotic or aerial platforms
• Map-based or semantic localization experience
• Deep learning applied to perception / matching
• UAV / robotics / aerospace experience

What we offer

• Team eager to share the knowledge we have and help you become proficient across a wide range of areas;
• Courses and investment in your professional growth;
• Work on game-changing products which have real impact on the world;
• Team which share common values and meanings, help and support each other;
• Possibility to create, test and improve real autonomous aircrafts;
• Official employment, booking, 24 days of vacation;
• There is some food in office, water, beer, cigarettes;
• You will definitely not be the same as before!