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Open nowPosted 90 days ago

具身智能数据质检测试工程师

nwd4iy9rd2s/referral79 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now具身智能数据质检测试工程师nwd4iy9rd2s/referral · Beijing, 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. 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. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 90 days ago

nwd4iy9rd2s/referral median: 1 days open

The posting

1. 搭建具身智能多模态采集数据的质检体系与量化标准,覆盖视觉图像、激光点云、IMU、标定参数等数据类型,围绕完整性、畸变、画质、时序同步、合规性等维度制定质检规则。 2. 开发自动化质检工具与脚本,基于Python、OpenCV等实现画质校验(亮度、模糊、噪点、过曝欠曝)、畸变检测、丢帧识别、多传感器同步校验等能力,嵌入数采入库流水线,前置拦截低质数据。 3. 对质检异常进行根因定位,区分数采设备故障、传感器ISP调教偏差、标定失准、采集流程不规范等成因,对接硬件、数采、ISP调教团队推动问题源头整改。 4. 沉淀数据失效模式库,持续迭代质检规则与工具效率,保障训练、评测所用数据的质量合规,支撑模型迭代的数据供给。

  • 本科及以上,计算机、图像处理、自动化、机器人等相关专业,2年以上数据质检或测试开发相关经验。
  • 熟悉多传感器数据采集链路,掌握图像画质、畸变、时序同步、数据完整性等质量维度的判定逻辑,可独立设计质检方案。
  • 具备测试开发能力,熟练使用Python,掌握OpenCV、NumPy等工具,可独立开发自动化质检脚本。
  • 了解摄像头ISP调校、数采设备基本原理,具备从数据质量反向追溯硬件/调教问题的分析能力。
  • 有自动驾驶/具身智能行业数据质检、自动化质检流水线搭建经验者优先。
  • 逻辑严谨,责任心强,具备良好的跨团队协同与问题推进能力。
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