The Role:

We are looking for a Computer Vision Engineer to help us improve perception systems for UAVs.

You will work on computer vision pipelines, sensor integration, and visual-inertial approaches to enhance autonomous flight capabilities.

Must have:

• 2+ years of experience in robotics or autonomous systems
• Ability to read and write C++ code
• Python (prototyping, data analysis)
• OpenCV
• Understanding of IMU and camera systems (calibration, distortion)
• Machine Learning fundamentals (linear algebra, statistics, optimization)
• English: Intermediate

Nice to have:

• Experience in perception (localization, mapping, obstacle detection)
• SLAM or VIO frameworks (Vins-Mono, ORB-SLAM, etc.)
• Sensor fusion techniques (Kalman filters, multi-modal data processing)
• Real-time systems and optimization
• ROS/ROS2
• UAV or robotics testing experience
• GPU/NPU optimization (Jetson, Coral)

Responsibilities:

• Develop and improve computer vision pipelines for UAV perception
• Analyze system logs and performance metrics to identify bottlenecks
• Work with camera and IMU data
• Implement localization, tracking, and mapping algorithms
• Optimize algorithms for real-time performance on embedded hardware
• Participate in algorithm research and prototyping