Responsibilities: + Research and Implement the state-of-the-art algorithms for real-time localization algorithms and adapt them to self-driving cars + Improving robustness of current localization algorithms based on real open-road environments

Minimum Qualifications: + Master in computer science, electrical engineering, robotics, or related fiel + Proven experience designing, implementing lidar localization algorithm + Strong skills in programming in C++ and can deliver robust, safety-critical, efficient code on time + Familiar with registration algorithms (i.e.- ICP, NDT, etc.) + Familiar with filtering algorithms (i.e.- EKF, UKF, PF, etc.) + Solid understanding in the open-source library like ROS,PCL, OPENCV, etc. + Experience with multi-sensors including IMU, LIDAR, GPS. + Minimum 3 days per week

Preferred Qualifications: + Experience with state estimation, SLAM, nonlinear optimization, probabilistic filtering + Experience in autonomous driving competition IVFC(Intelligent Vehicle FutureChallenge) or related + Extensive background in robotics algorithms with strong focus on software development + Experience with QT C++ development

What We Offer: + Working at one of the fastest growing and promising self-driving car team + A great work environment that supports growth and development + Build new concepts & groundbreaking solutions that shape the future of mobility