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Open nowPosted 10 days ago

多模态数据与动捕算法工程师

seer-group/index52 open roles

Where
Hangzhou, Zhejiang, Chinese Mainland
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Your applicationOpen now多模态数据与动捕算法工程师seer-group/index · Hangzhou, Zhejiang, Chinese Mainland
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This job: posted 10 days ago

The posting

岗位职责 1. 负责机器人视觉、深度、IMU、Pose、触觉、动作和任务描述等多模态数据的处理。 2. 建设从原始数据到标准化 episode、dataset 和训练样本的数据处理流程。 3. 开发视频预处理、多传感数据融合、Pose/Point Cloud 处理、坐标转换、相机标定和时间戳对齐模块。 4. 构建从视频输入到 2D/3D 手部关键点、Mano参数和腕部追踪的完整流程。 5. 构建从视频输入到 2D/3D 人体关键点、全身姿态和动作序列输出的完整流程。 6. 设计复杂场景下头戴式相机阵列的姿态估计和环境重建算法。 7. 处理多传感器之间的时间偏差、帧缺失、Tracking Gap 和异常数据。 8. 负责数据质量检测,包括完整性、一致性、同步性、标定参数和视频质量。 9. 建立异常检测、数据定位、失败重试和处理链路监控机制。 10. 与算法、采集硬件、云平台和数据运营团队协作,推动数据闭环。 任职要求 1. 计算机、软件工程、自动化、机器人、计算机视觉等相关专业本科及以上学历。 2. 熟练使用 Python,具备良好的代码开发、调试和工程规范。 3. 理解相机模型、内外参、畸变、坐标系转换和多传感器同步。 4. 熟悉人体姿态估计、手部姿态估计、3D 重建、SLAM 或多视几何者。 5. 熟悉 Linux、Git 和数据处理 Pipeline。 6. 具备性能分析、日志分析和线上问题定位能力。 加分项 1. 有机器人、自动驾驶、具身智能或多模态数据经验。 2. 有手部姿态估计、人体动作捕捉或 SLAM 项目经验。 3. 熟悉 ROS/ROS2、Parquet、WebDataset、对象存储或数据版本管理。 4. 有数据质量平台、自动标注、Active Learning 或数据闭环经验。 5. 有 CUDA、并行计算、分布式数据处理经验。 6. 有 IMU-视觉融合、实时系统或端侧部署经验。

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