You will join us as a core team member and shape the development of computer vision-based systems at F-drones. This is multifaceted and you are expected to lead a team as we progress.
You will work closely with Autopilot software, Embedded and Design teams to build a robust vision/LiDAR ecosystem (on-board the drone) for perception-based navigation and landing. The target is to build an aviation standard single-subsystem which can enable VISLAM (for vision- based navigation), detect and avoid, multi-sensor based landing and smart fail-safes. Development should follow aviation certification standards and you shall establish processes with other teams to ensure that these standards are met. Extensive SIL and HIL simulations must be performed before field testing.
At F-drones, you will be charting the development of world-class computer vision systems that enable centimeter level landing-accuracies for our drones. The drones will also be able to avoid obstacles and unsafe landing locations, and be equipped with seamless fusion of GPS, VIO and other sensor-based navigation to provide the best overall mission accuracy.
Your profile
● Masters in Electronics/Computer science/Aerospace or similar discipline. Exceptional individuals with lower academic qualifications may be considered.
● More than 3 years experience working on Vision systems/LiDAR, Image Processing/SLAM and multi-sensor fusion
● Strong background in sensing, localization, behavior, and path-planning for probabilistic robotics (including computer vision, vision-based localization and mapping, robot perception, robot behavior, and autonomous vehicle development)
● Experience in the entire product development lifecycle, and able to prioritise and meet deadlines
● You preach and put into practice the importance of maintainability, relentless testing and enjoy implementing best practices
● Programming experience in C++, Python, ROS, Linux
● Know-how of communication protocols such as MAVLINK, RTPS/DDS is a plus