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 autonomy specialists, 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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