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.
We consider engineers at Middle/Senior levels — tasks and responsibilities will be adjusted accordingly.
Required Qualifications: * 3+ years of 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 * Practical experience with SLAM and/or Visual-Inertial Odometry (VIO) * Proficiency in C++ * Experience with Linux * Ability to quickly navigate through recent research and trends in computer vision.
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.
