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Research Scientist/Engineer - Mapping and Localization


  • Researching, developing, and deploying algorithms for environmental mapping & accurate positioning of self-driving cars

  • Interact with vehicle manufacturers and access state-of-the-art autonomous vehicle testing platforms in real testing environment

  • Tackle a broad range of real-world localization problems and come out with robust solution to help ensure the vehicles are safely driving on the road

  • Design and implement High-Definition 3D Mapping using LIDAR, Vision and/or GPS-INS systems

  • Design and implement real-time vehicle localization using LIDAR, camera and sensor

  • Design and implement real-time vehicle localization via map matching

  • Calibration of multiple sensor setup on vehicle

  • Test algorithm on real-road driving

  • Write professional design and technical documentation


  • Bachelor's degree in Computer Science or a related field, or equivalent experience. Master’s
    degree and above will be an advantage.

  • 3+ year experience on C++ software development, preferred on Linux platform

  • Strong knowledge on Lidar SLAM with real deployment experience, and/or, experience with
    Visual Odometry (VO), Visual-inertial Odometry (VIO), Visual SLAM

  • Good knowledge on 3D Reconstruction, SLAM, scan matching, ICP and Bundle Adjustment

  • Good knowledge on probabilistic theory, Kalman filter, particle filter, estimation, nonlinear
    optimization techniques

  • Experience with nonlinear solvers such as Ceres, g2o

  • Good knowledge on sensor characterization (e.g., error modelling, bias, stability etc.)

  • Hands-on experience in sensor interfacing, data capture and synchronization

  • Experience in using version control tools such as Git

  • Able to work independently as team player

  • Strong problem solving, analytical and conceptual skills, with good communication skill


The above information on this description has been designed to indicate the general nature, and level, of the work performed by this position. It is not designed to contain, or be interpreted, as a comprehensive inventory of all duties, responsibilities and qualifications required.

We invite interested candidates to write-in with CV to Lee Shiow Chyn, EA 12C6130/ R1112042 


We regret that only shortlisted candidates will be contacted for a discussion.

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