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Open nowPosted 479 days ago

SLAM定位建图与空间智能算法工程师

dx3a2bminsq/index64 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
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Your applicationOpen nowSLAM定位建图与空间智能算法工程师dx3a2bminsq/index · Shenzhen, Guangdong, Chinese Mainland
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. dx3a2bminsq/index postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 479 days ago

dx3a2bminsq/index median: 1 days open

The posting

1、负责多传感器融合SLAM建图与定位算法研发,解决机器人在大场景、动态环境及长期运行中的鲁棒定位问题; 2、实现地图拼接、增量构建与更新能力,构建长期可维护、可复用的空间记忆系统; 3、负责传感器选型、适配与驱动开发,设计多传感器内外参标定工具及时间同步方案; 4、研发高精度三维重建算法,推动MVS、点云配准、NeRF、3DGS等场景重建技术在机器人场景中的应用落地; 5、研发视觉语言导航与空间智能算法,结合LLM实现自然语言指令解析、导航决策与任务规划; 6、设计拓扑记忆、语义记忆等场景记忆机制,支撑机器人长期自主任务执行。

1、计算机、机器人、自动化等相关专业硕士及以上学历,3年以上机器人定位建图、三维重建或具身智能相关项目经验; 2、精通C++,熟练使用Python,熟悉Linux及ROS/ROS2,具备良好的算法工程化与系统落地能力; 3、深入理解经典SLAM、Visual SLAM、LiDAR SLAM、SFM等算法框架,具备多传感器融合定位建图项目经验; 4、熟悉多传感器内参、外参标定方法及时间同步机制,有传感器驱动开发、硬件选型或机器人系统集成经验者优先; 5、了解三维重建及NeRF、3DGS等生成式重建技术,有仿真数据生成或场景重建经验者优先; 6、了解视觉语言导航、跨模态特征融合、空间记忆、拓扑地图或场景图等相关技术,熟悉LLM调用、微调或Agent系统开发者优先; 7、具备较强的自驱力、技术探索能力和问题分析解决能力,具备良好的沟通表达与团队协作精神。

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