軟體工程師(Visual / LiDAR SLAM)

職務說明： · 開發自動駕駛系統的定位與地圖構建核心算法 · 開發基於光達的多感測器融合演算法 · 開發最先進的 Visual SLAM 演算法 · 開發結合高精地圖的視覺定位，包括處理及儲存 · 驗證建圖與定位算法於多種場域下之即時性與穩健性 · 與其他部門協作開發，以完善自動駕駛系統框架 任用資格： · 碩士以上學歷，主修電腦科學、機器人科學或其他相關科系 · 熟悉 Linux、CMake、Git 等開發環境及工具 · 具備 C/C++ 及 Python 的即時系統軟體開發能力，並有除錯經驗 · 具備至少一項以上 SLAM、狀態估計、傳感器融合及定位相關經驗 · 具備點雲處理能力(如分割、聚類、匹配、特徵萃取等) 加分項目： · 有 ROS 2 的開發經驗 · 具備 Visual Odometry / Image Matching / g2o / GTSAM / Ceres 等知識 · 熟悉至少一種基於光達的SLAM算法(如Cartographer、LOAM、LIO-SAM、FAST-LIO2等) · 具備電腦視覺及基礎影像處理的知識 · 具備 Autoware 開發經驗 Job description： - Develop core localization and mapping algorithms for autonomous driving systems. - Develop LiDAR-based sensor fusion algorithms. - Develop state-of-the-art Visual SLAM algorithms. - Develop vision-based localization integrated with high-definition (HD) maps, including data processing and storage. - Validate the real-time performance and robustness of mapping and localization algorithms in various environments. - Collaborate with other departments to enhance the autonomous driving system framework. Minimum Qualifications： - Master's degree or above, major in computer science or robotics science or other related majors. - Familiar with Linux, CMake, Git and other development environments and tools. - C/C++ and python for real-time system software development, and have debugging experience. - Experience in at least one of the following: SLAM, state estimation, sensor fusion, or localization. - Solid knowledge of point cloud processing. (e.g., segmentation, clustering, matching, feature extraction) Preferred Qualifications： - Development experience with ROS 2. - Knowledge of Visual Odometry / Image Matching / g2o/ GTSAM/ Ceres. - Familiarity with at least one LiDAR-based SLAM algorithm. (e.g., Cartographer, LOAM, LIO-SAM, FAST-LIO2) - Knowledge of Computer Vision and basic Image Processing. - Development experience with Autoware.