Software Engineer, Localization, Calibration & Mapping

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