Develop advanced multi-sensor fusion VIO (Visual-Inertial Odometry) and V-SLAM (Visual Simultaneous Localization and Mapping) algorithms and systems tailored for autonomous drones. Sensor modalities encompass camera, IMU, Radar, Lidar, GPS, prior map, and other relevant sources.
Conduct research and assessment of various candidate algorithms to ascertain the optimal solution, considering computational demands, result accuracy, and suitability for the specific use case.
Design and enhance motion planning algorithms to govern the operation of our Hera drone, refining existing algorithms for smoother and more aesthetically pleasing drone motion.
Implement algorithms proficiently in a high-performance programming language like C++ while ensuring code quality is robust enough for deployment on the drone.
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Your skills & qualifications
A Bachelor's Degree in Information Technology, Automation, Electrical and Elec-tronic Engineering Technology, Computer Science, or a related field is mandato-ry. Advanced degrees or pertinent certifications are advantageous.
Proficiency in C++/Python and familiarity with the ROS/ROS2 framework.
Knowledge and experience working with algorithms related to VIO, SLAM, Optical Flow, EKF, etc.
Familiarity with AI, particularly in Reinforcement Learning, is a plus.
3
Benefits
Young, creative and dynamic working environment.
Competitive income.
Full coverage of insurance.
Professional training.
Opportunity for professional growth and development.
Bonus according to capacity.
Working time: 08AM – 05PM, from Mon to Fri (lunchbreak: 12:00PM-13:00PM)
