Job Description

Company Information

Company: AeroVect Website: www.aerovect.com Description: 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.

Position Overview

AeroVect is seeking a talented individual to contribute to the development and improvement of our autonomous system's localization and mapping capabilities.

Employment Type

Full-Time

Location Type

Remote

Responsibilities

• 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 sensor calibration across sensors, time, and vehicles.
• Develop online validation and calibration tools.
• Develop and maintain the topographical map of the operating environment.
• Collaborate with the localization team and autonomy sub-teams (planning, perception, infrastructure) to successfully deploy the autonomous system.

Requirements

• Education: Bachelor’s Degree or Master’s Degree candidate in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or a related field.
• Experience:
  • 1+ years of work experience in development of robotics, industrial automation, or autonomous driving.
  • Theoretical knowledge in either localization or calibration.
• Technical Skills:
  • 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.
• Soft Skills: Highly collaborative nature and exceptional communicator with strong problem-solving skills.

Preferred Qualifications

• Education: MS or PhD in Computer Science, Math, Robotics, or a related field.
• Experience: 2-4 years of work experience in development of robotics, industrial automation, or autonomous driving.
• Technical Skills:
  • 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.

Salary

• Not specified.