Job description
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 fusion
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
Requirements
Bachelor's degree in Computer Science or a related field, or equivalent experience. Master’s degree and above will be an advantage.
2+ 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
Disclaimer
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 and regret that only shortlisted candidates will be contacted for a discussion.
Lee Shiow Chyn
EA12C6130
R1112042
hr@hpspartners.com.sg