Develop algorithms using sensors like cameras, LiDAR, and RaDAR for large scale mapping and long-term localization that can plug into the perception module of an Autonomy system built to function in an aerial vehicle built to work at speeds of 200km/h and above
Must have:
● Strong programming skills in C++ and Python
● Implemented algorithms for localisation and/mapping using solvers like GTSAM, Ceres, and g2o
● Working knowledge of 3D modelling concepts like CSG, splines, and surface-based modelling, surfels
● Probability theory, and Graph theory
● 2+ years experience working with LiDARs, IMUs, and/or RaDARs, cameras
● Experience in using different mapping algorithms like Voxblox, Octomap, Kimera-Mesh
● Practical experience with Cartographer or ORBSLAM type mapping algorithms
● Version control using git
● Experience with simulation of algorithms in a Linux-based platform
Good to have:
● Experience in Feature engineering
● Proficiency in Loop Closure algorithms
● Code optimisation for embedded devices
● Worked on Nvidia based compute boards
● Working knowledge on control systems, motion planning and/or deep learning
Personality Traits:
● Strong Analytical thinking and problem solving ability
● Ability to work with a distributed and diverse team of researchers, developers, and engineers
● Ready to learn new concepts, stay up-to-date with the state-of-the-art in the field and implement them
● Ability to work within deadlines and dynamic work environment
● Excellent communication skills( written and verbal)