Who We Are
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 Series A company 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
Identify and solve gaps in the current localization and mapping system
Implement, deploy, test and maintain new localization capabilities for the autonomous system
Develop and maintain the sensors calibration across sensors, time, and vehicles
Develop online validation and calibration tools
Develop and maintain the topographical map of the operating environment
Collaborate with our localization team and autonomy sub teams (planning, perception, infrastructure) to successfully deploy the autonomous system
You Have
Bachelor’s Degree or Master’s Degree candidate in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or related field
1+ years of work experience in development of robotics, industrial automation or autonomous driving
Theoretical knowledge in either localization or calibration
Strong C++ 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 or any 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
We Prefer
MS or PhD in Computer Science, Math, Robotics or a related field
2-4 years of work experience in development of robotics, industrial automation or autonomous driving
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, kalibr, ORB SLAM, LOAM, LIO-SAM, robot localization, etc