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Open nowPosted 184 days ago

具身slam算法工程师

nwd4iy9rd2s/referral79 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now具身slam算法工程师nwd4iy9rd2s/referral · Beijing, Chinese Mainland

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. nwd4iy9rd2s/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 184 days ago

nwd4iy9rd2s/referral median: 1 days open

The posting

负责轮式人形机器人的定位与建图算法研发，参与激光雷达、相机、IMU及轮速计的多传感器融合方案设计与工程落地。 负责数采设备上的VIO/VSLAM算法研发，确保在复杂动态环境下的高精度、高鲁棒性位姿输出。 与规划、硬件、运控、数采、数据平台等团队协同，针对底层算力平台进行算法裁剪、加速与工程化部署，持续优化算法性能，解决真实场景中的长尾问题。 跟踪SLAM技术前沿方向，结合业务场景推进系统演进，包括但不限于语义/对象级/开放词表 SLAM、Lifelong SLAM、面向机器人任务的3D Scene Graph地图等方向的研究与落地。

机器人、人工智能、计算机、控制、电子工程、车辆工程等相关专业，本科及以上学历，硕博优先。 具备3年以上SLAM算法开发经验，有机器人、自动驾驶或AR/VR领域实际量产落地经验者优先。 熟悉SLAM技术底层原理（特征提取与跟踪、IMU预积分、回环检测、位姿图优化、重定位等）及主流框架（VINS-Fusion，ORB-SLAM，FAST-LIO，FAST-LIVO等）。 扎实的数学基础，熟悉多视图几何、李代数、非线性优化（Ceres/g2o）、卡尔曼滤波（EKF/ESKF）等基础理论。 扎实的C++/Python编程基础，熟练掌握ROS/ROS2，熟悉多线程编程及内存管理。

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