AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a private company founded in 2020 and backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
You will be part of the core autonomy team and will be working on delivering the following:
Identify and solve gaps in the current localization and mapping system
Implement, deploy, test and maintain new localization capabilities for the autonomous system
Research state of the art localization techniques and evaluate to see if it can be incorporated into the system to expand operating environments
Evaluate various new sensor modalities to improve localization and mapping
Build metrics tools to evaluate how well the localization sub-system is performing
Research, develop, test and maintain a calibration system to identify sensor extrinsics and camera intrinsics
Develop and maintain tools to maintain topographical map of the operating environment
Work closely with the other autonomy sub teams (planning, perception, infrastructure) to successfully deploy the autonomous system
1-2 years of work experience in development of industrial robots or industrial automation
Theoretical knowledge of one or more areas of autonomous driving: localization & mapping, perception, tracking or overall system development
Bachelor’s Degree or Master’s Degree candidate in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or related field
Strong C++ and Python programming
Working experience with a Linux based Operating System (Ubuntu, Debian) and Robot Operating System (ROS/ROS2) middleware, OpenCV
Proven experience with non-linear optimization and various filtering algorithms like EKF, UKF, Particle filters
Demonstrated work experience with various sensors such as LiDARs, Camera, IMU, GPS, Radar etc
Highly collaborative nature and exceptional communicator with strong problem solving skills
MS or PhD in Computer Science, Math, Robotics or a related field
2-3 years of work experience in development of industrial robots or industrial automation
In-Depth understanding of middleware frameworks like ROS/ROS2
Proven experience with factor graphs and graph slam algorithms
Proven experience with non linear solvers like Ceres, GTSAM, g2o
Proven track record of system development and successful deployment of unmanned systems in existing or upcoming products
Mastery of Modern C++ (14 and beyond) and safety critical coding practices
Proven experience with open source algorithms/software like google cartographer, slam toolbox, fuse, ORB SLAM, LOAM, LIO-SAM robot localization etc
