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Develop state-of-the-art, online and offline mapping algorithms by fusing information from cameras, IMUs and other sensors
Design, validate and improve your algorithms against millions of challenging real world data sequences
Design automatic data generation pipelines that create high quality, unbiased ground truth labels for neural network training
Collaborate with a team of exceptional individuals laser focused on bringing vehicular autonomy and Humanoid robotics to fruition
Expertise in key areas of computer vision and robotics, such as structure-from-motion, Visual-Inertial SLAM, large-scale mapping and localization
Background in Computer Science, Robotics, Physics, similar field(s) of study, or equivalent practical knowledge
Proficiency in writing production-quality code in modern C++
Working knowledge of Python 3 with packages like numpy, scipy, opencv etc. Ability to quickly prototype and profile algorithms in Python
Strong Mathematical fundamentals including Linear Algebra, Vector calculus, Probability theory, Numeric optimization
Experience implementing math effectively in software; experienced in Eigen, Ceres, Boost, etc.
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