About Our Client:
Our client is a leading hard technology company, they're looking for a SLAM Algorithm Engineer to join their HK team. Welcome TTPS/QMAS/IANG.
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- 负责视觉SLAM/VIOç®—æ³•ç ”å‘与优化,包括特å¾æå–ã€ä½å§¿ä¼°è®¡ã€åœ°å›¾æž„建ç‰æ ¸å¿ƒæ¨¡å—
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- 实现SLAM算法在嵌入å¼å¹³å°çš„高效部署与性能调优
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- 精通SLAM基础ç†è®ºï¼Œç†Ÿæ‚‰ORB-SLAM/VINSç‰å¼€æºæ¡†æž¶å®žçŽ°åŽŸç†
- 熟练使用C++/Python,掌æ¡OpenCV/PCL/ROSç‰å¼€å‘工具
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Responsibilities:
- Research and optimize visual SLAM/VIO algorithms, including feature extraction, pose estimation and mapping
- Develop multi-sensor fusion (visual/IMU/LiDAR) solutions for robust localization in complex scenarios
- Deploy SLAM algorithms on embedded platforms with performance tuning
- Conduct R&D in 3D reconstruction and scene understanding technologies
Requirements:
- Master's degree or above in CS/Robotics/Automation/Mathematics
- Proficient in SLAM fundamentals with deep understanding of ORB-SLAM/VINS frameworks
- Skilled in C++/Python with hands-on experience in OpenCV/PCL/ROS
- Experience in multi-sensor calibration, time synchronization or embedded optimization preferred
- Strong mathematical background in nonlinear optimization and probabilistic filtering
- Capable of technical documentation reading in English, with independent problem-solving skills
Click "Apply Now" to apply for this position or call Miley Guan at +852 3180 4977 for a confidential discussion. All information collected will be kept in strict confidence and will be used for recruitment purpose only.