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Open nowPosted 166 days ago

云端数据引擎工程师 - 数据格式标准化

agirobot/referral515 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now云端数据引擎工程师 - 数据格式标准化agirobot/referral · Shanghai, 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. agirobot/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. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 166 days ago

agirobot/referral median: 1 days open

The posting

1. 数据格式统一:负责自动驾驶/具身智能场景下多源异构数据格式的标准化与统一,主导LeRobot、HDF5等机器人数据格式的整合方案设计与落地,推动云端数据格式规范的建立; 2. 数据清洗体系:构建高效的云端数据清洗Pipeline,制定数据质量评估标准,开发异常检测、去重、对齐、插值等清洗工具,保障入模数据的干净与一致; 3. 格式转换与兼容:设计云端数据格式转换中间件,打通不同数据源(ROS bag、仿真数据、真值标注、机器人本体数据等)之间的格式壁垒,实现跨平台数据互通; 4. Schema标准制定:推动团队数据格式规范与接口标准的建立,定义数据Schema与版本管理机制,确保数据在云端全链路流转中的一致性与可追溯性。

1. 硕士及以上学历,计算机、人工智能、机器人、电子等相关专业,3-5年工作经验; 2. 硬性背景:具有自动驾驶或具身智能(人形机器人等)领域的云端数据处理/数据格式标准化工作经验; 3. 精通Python,熟悉C++;具备扎实的数据结构与算法基础,代码能力优秀; 4. 深入熟悉 LeRobot、HDF5、ROS/ROS2、Protobuf、Avro等数据格式与序列化框架,有多模态数据(图像、点云、IMU、关节角、轨迹等)处理经验; 5. 熟悉数据清洗、数据质量评估的方法论与工具链,有大规模数据集清洗治理实战经验; 6. 具备良好的数据Sense,对数据格式设计、Schema定义、版本管理有深入理解。 加分项 - 参与过开源数据格式项目(如LeRobot、Hugging Face数据集生态); - 同时熟悉自动驾驶数据格式(nuScenes、KITTI、Waymo Open Dataset等)与机器人数据格式; - 有云端数据湖(Parquet、Delta Lake、Iceberg等)实际使用经验; - 具备多传感器时空同步与数据对齐的实战经验。

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