Senior Software Engineer, Localization

4 days ago


Toronto, Canada AeroVect Full time

OverviewAeroVect 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.ResponsibilitiesIdentify and solve gaps in the current localization and mapping system that operates in mixed indoor and outdoor environmentsImplement, deploy, test and maintain new localization capabilities for the autonomous systemDevelop and maintain the sensors calibration across sensors, time, and vehiclesDevelop online validation and calibration toolsCollaborate with our localization team and autonomy sub teams (planning, perception, infrastructure) to successfully deploy the autonomous systemQualificationsBachelor’s Degree or Master’s Degree candidate in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or related field5+ years of work experience in development of robotics, industrial automation or autonomous drivingTheoretical knowledge in either localization or calibrationStrong C++ programmingWorking experience with a Linux based Operating System (Ubuntu, Debian) and Robot Operating System (ROS/ROS2) middleware, OpenCVProven experience with non-linear optimization like graph-based optimization or any filtering algorithms like EKF, UKF, Particle filtersDemonstrated work experience with various sensors such as LiDARs, Camera, IMU, GPS/GNSS, Radar, etcHighly collaborative nature and exceptional communicator with strong problem solving skillsPreferred QualificationsMS or PhD in Computer Science, Math, Robotics or a related field8+ years of work experience in development of robotics, industrial automation or autonomous drivingIn-depth understanding of middleware frameworks like ROS2Proven experience with factor graphs and graph slam algorithmsProven experience with non linear solvers like Ceres, GTSAM, g2oProven experience working with GPS/GNSS systems integrating them into INS solutionsProven track record of system development and successful deployment of unmanned systems in existing or upcoming productsMastery of Modern C++ (14 and beyond) and safety critical coding practicesProven 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. #J-18808-Ljbffr



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