Job Responsibilities
• Design of the visual localization and mapping algorithm for Lv2/3/4 autonomous driving systems.
• Derive and Implement real-time pose estimation by SLAM/Visual Odometry algorithms.
• Develop algorithms that determine the vehicle’s location in High-Definition Map with high accuracy.
• Develop algorithms that build a High-Definition Map of the world by utilizing sensors such as Camera/IMU/GPS.
Job Requirements
Minimum qualifications:
• MS or Ph.D. in Computer Science, Electrical Engineering, or a related technical field.
• Familiar with geometric computer vision background in SLAM/VO/VIO, Nonlinear Optimization, and Bundle Adjustment.
• Strong theoretical knowledge of Visual 3D Reconstruction algorithms.
• Hands-on experience in sensor calibration
• Strong mathematical fundamentals, including linear algebra and numerical methods.
• Experience in C/C++ programming.
• Experience in the field of computer science, with experience in data structures, algorithms, and software design.
• Familiar with C++ Standard Template Library.
Preferred qualifications:
• Experience with data-parallel and/or GPGPU programming, CUDA, OpenCL.
• Experience in autonomous driving is a strong plus.
• Proficient at surveying papers and implementing mathematical equations with the ability to interpret equations and derive their own variants.
All interviews will be conducted by video calls.
台北市信義區松智路1號10樓
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