Computer Vision Engineer (Odometry+SLAM) Offline

Responsibilities: 
- Develop and implement computer vision algorithms using both classical techniques and neural networks 
- Utilize and understand popular networks and their building blocks in computer vision tasks 
 

Requirements:

- Proven experience with ROS, SLAM, Odometry 
- Experience with optimizing algorithms for performance 
- Experience with common edge and IoT platforms
- Proven experience with classical computer vision and neural networks 
- Strong understanding of geometrical computer vision principles 
- Hands-on experience in implementing low-level CV algorithms 
- In-depth knowledge of popular computer vision networks and components 
- Ability to quickly navigate through recent research and trends in computer vision 
- Proficiency in C++ and Python

- Experience with Linux 
- Extensive experience with common frameworks/libraries used for computer vision (OpenCV, numpy, PyTorch, ONNX, Eigen, etc.)