Senior Localization Talent Specialist leading recruitment strategies for language services at Jadeer. Focused on managing global freelance networks and ensuring best candidate experience.
About the role
- Software Engineer developing localization and mapping systems for autonomous ground handling solutions at AeroVect. Collaborating with cross-functional teams to implement and maintain software capabilities.
Responsibilities
- 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
Requirements
- 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
- 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.
Job title
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