Candidates bring a deep understanding of geometric computer vision and machine learning algorithms and technologies that are necessary building blocks of interactive, real-time, and immersive systems, including Simultaneous localization and mapping (SLAM), and sensor fusion, also applying ML/DL techniques to enhance accuracy and robustness of traditional geometric computer vision algorithms, handle 3D data, modeling geometries of 3D objects, computational geometry, and mathematical optimization. They need to exhibit excellent analytical and algorithm development skills. Experience in designing solutions and implementations for real-time embedded and mobile platforms would be a plus.