Job VC

We are looking for a Computer Vision Engineer with a background in classical computer vision techniques and hands-on implementation of low-level CV algorithms.
The ideal candidate will have experience with SLAM, Visual-Inertial Odometry (VIO), and sensor fusion.
Required Qualifications:
Hands-on experience with classical computer vision
Knowledge of popular computer vision networks and components
Understanding of geometrical computer vision principles
Hands-on experience in implementing low-level CV algorithms
Experience with SLAM/Visual-Inertial Odometry (VIO)
Proficiency in C++
Experience with Linux
Ability to quickly navigate through recent research and trends in computer vision.
strong Math background
education in computer science/applied math/physics or similar
Nice to Have:
Experience with Python
Familiarity with neural networks and common CV frameworks/libraries (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.)
Experience with sensor fusion.