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Open nowPosted 203 days ago

SLAM算法工程师

agirobot/referral514 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen nowSLAM算法工程师agirobot/referral · Shanghai, Chinese Mainland
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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market. agirobot/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 203 days ago

agirobot/referral median: 1 days open

The posting

1. 负责设备端SLAM算法研发与迭代,实现设备定位跟踪、环境重建,支撑空间感知业务落地; 2. 主导视觉‑IMU融合SLAM算法设计、调优,深度理解IMU器件特性,处理IMU噪声、零偏、温度漂移、时间同步等实际工程问题; 3. 优化VIO/VISLAM系统,解决跟踪丢失、漂移、重定位、闭环检测等实际业务问题,提升端上定位鲁棒性与精度; 4. 多传感器标定:相机‑IMU联合标定、外参标定、时间戳同步,多目/深度相机传感器适配; 5. SLAM模型与算法端侧工程落地:算法C++实现、性能优化,配合推理工具链完成移植,适配NPU/DSP等端侧硬件; 6. 数据集搭建:多传感器数据采集、真值标定、评测工具开发,完成算法效果量化评估;

1. 硕士及以上学历,计算机、机器人、自动化、模式识别等相关专业; 2. 精通视觉IMU融合SLAM,深刻理解IMU器件特性,熟悉IMU噪声模型、零偏、温度漂移、时间同步、误差传播模型,有VIO系统完整调优实战经验;熟悉主流开源SLAM框架(VINS‑Fusion、OKVIS、ORB‑SLAM3等); 3. 扎实多视图几何基础,熟悉特征点跟踪、BA优化、重定位、回环检测、位姿图优化; 4. 有XR/VR/AR设备SLAM实际项目经验,掌握空间定位、环境重建、空间地图相关技术优先; 5. 熟练C++,熟悉Python;熟悉端侧性能优化,了解TensorRT、ONNX Runtime,有NPU/DSP部署经验优先; 6. 具备多传感器标定、多相机采集、数据集构建、算法评测工具开发经验。 【加分项】 1. CVPR/ICCV/ECCV/IROS等顶会论文、开源项目贡献; 2. 消费级XR硬件产品真实落地经验; 3. 深度相机、LiDAR‑IMU融合SLAM开发经验; 4. 大模型辅助SLAM、语义SLAM方向实践。

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