• 2+ years of hands-on experience with classical computer vision 

• Understanding of geometrical computer vision principles 

• System identification and control 

• Sensor fusion/signal processing 

• Proficiency in C++  

• Experience with Python 

• Experience with Linux and single-board computers 

• Experience with PID controllers tuning in embedded or autonomous systems

• Ability to quickly navigate through recent research and trends in computer vision and autonomous systems. 

Nice to Have:

• experience with SLAM and/or Visual-Inertial Odometry (VIO) 

• Matlab 

• Experience with PX4, betaflight, Ardupilot 

• Familiarity with neural networks and common CV frameworks/libraries (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.) 

• Experience with simulation tools (Gazebo, AirSim) 

• SITL, HITL testing 

• ROS2