Visual SLAM Engineer

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【工作內容】

1.Design of the visual localization and mapping algorithm for Lv2/3/4 autonomous driving systems.

2.Derive and Implement real-time pose estimation by SLAM/Visual Odometry algorithms.

3.Develop algorithms that determine the vehicle’s location in High-Definition Map with high accuracy.

4.Develop algorithms that build a High-Definition Map of the world by utilizing sensors such as Camera/IMU/GPS.

1. Minimum qualifications:

1. MS or Ph.D. in Computer Science, Electrical Engineering, or a related technical field.
2. Familiar with geometric computer vision background in SLAM/VO/VIO, Nonlinear Optimization, and Bundle Adjustment.
3. Strong theoretical knowledge of Visual 3D Reconstruction algorithms.
4. Hands-on experience in sensor calibration
5. Strong mathematical fundamentals, including linear algebra and numerical methods.
6. Experience in C/C++ programming.
7. Experience in the field of computer science, with experience in data structures, algorithms, and software design.
8. Familiar with C++ Standard Template Library.
1. Preferred qualifications:

1. Experience with data-parallel and/or GPGPU programming, CUDA, OpenCL.
2. Experience in autonomous driving is a strong plus.
3. Proficient at surveying papers and implementing mathematical equations with the ability to interpret equations and derive own variants.