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.