You'll solve difficult challenging problems in Computer Vision, using your knowledge to architect, implement and improve algorithms and models for advanced perception in the fields of VIO and SLAM. * Prototyping and research of sensor fusion algorithms in the context of Visual Inertial Odometry (VIO) and SLAM (Simultaneous Localization and Mapping) in coordination with other , embedded software engineering and computer vision engineering teams * Degree in Robotics, Control systems, Computer Vision or a related engineering discipline with at least 8 years of experience in the research and development of localization and mapping functionality in robotics systems (PhD preferred). * Deep Learning, particularly in the contexts of Computer Vision, Dynamics or Controls
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