As a SLAM engineer at 42dot, you will contribute advanced autonomous driving technologies. Utilizing sophisticated geometric vision techniques, you will process various visual and sensor data acquired from autonomous vehicles to accurately determine the vehicle's current location and surrounding structures. Additionally, you will collaborate with various teams at 42dot that employ computer vision and robotics technologies.

• 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.

• 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++

• 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

• 서류전형 - 코딩테스트 - 화상면접 (1시간) - 화상심층면접 (3시간) - 최종합격 • 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. • 전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다.