Localization & Mapping Engineer

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 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.

Role Responsibilities

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

Qualifications

Minimum Qualifications

• 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

Desired Qualifications

• 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