SLAM Engineer

Responsibilities

• Develop state-of-the-art localization, mapping and calibration algorithms to enhance autonomous driving technology.
• Design and validate online and offline state estimation algorithms by fusing sensor data such as cameras, IMUs, and so on.
• Focus on 3D geometry aspects such as VSLAM, VIO, and SfM.
• Develop algorithms for motion estimation, matching, and tracking in 3D environments.
• Implement non-linear optimization techniques to improve algorithm performance.
• Lead efforts in sensor calibration to ensure accurate perception capabilities for autonomous vehicles.

Qualifications

• Minimum of 3 years of work experience
• Master's or PhD degree, or equivalent experience, in computer vision, robotics, or a related field
• Theoretical and practical knowledge in robotics and computer vision
• Production-level programming skills in modern C++

Preferred Qualifications

• Experience in research and development related to autonomous driving and robotics
• Development experience using various sensors such as GPS, IMU, and cameras
• Experience in developing VR/AR applications
• Experience in parallel programming and system optimization