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

In this role as Software Engineer , Localization , Calibration & Mapping you will:

• Identify and solve gaps in the current localization and mapping system that operates in mixed indoor and outdoor environments

• 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 like graph-based optimization or any filtering algorithms like EKF, UKF, Particle filters

• Demonstrated work experience with various sensors such as LiDARs, Camera, IMU, GPS/GNSS, 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 ROS2

• Proven experience with factor graphs and graph slam algorithms

• Proven experience with non linear solvers like Ceres, GTSAM, g2o

• Proven experience working with GPS / GNSS systems integrating them into INS solutions

• 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 , kalibr , ORB-SLAM 3 , stella-vslam , GLIM, LIO-SAM , VINS-Fusion , robot localization , etc.