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Open nowPosted 7 days ago

商业化研发与交付leader

nwd4iy9rd2s/referral80 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now商业化研发与交付leadernwd4iy9rd2s/referral · Beijing, Chinese Mainland
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The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. nwd4iy9rd2s/referral postings stay open a median of 6 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted 7 days ago

nwd4iy9rd2s/referral median: 6 days open

The posting

岗位职责 1、统筹商业化产品研发与系统架构 将客户需求转化为场景定义、产品能力、技术方案和研发路线图,统筹机器人端、云端及客户操作界面的研发与集成。 建设支持多客户、多场景、多机器人的通用平台,完善客户账户、组织权限、设备管理、数据隔离和操作审计,推动项目能力向标准化产品沉淀。

2、负责场景应用算法与模型适配约定任务与环境中达到交付指标。 带领应用算法团队,负责客户任务拆解、场景数据策略、模型微调适配、场景评测和效果优化,推动机器人在与具身模型团队共享训练底座、模型接口及版本体系,将场景问题和高价值数据反馈至基模迭代,协同解决通用能力瓶颈。

3、建设模型微调与部署闭环监控及回退机制,实现可追踪、可验证的模型更新。 提供易用的前端与操作界面,支持客户及数据采集人员创建任务、遥操作采集轨迹、管理数据并自动上传。打通数据筛选、微调训练、效果评测、版本管理、模型下发和机器人端推理;建立发布准入、灰度部署、运行监控及回退机制,实现可追踪、可验证的模型更新。

4、建设工作流编排与任务执行系统 建设可视化任务编排能力,支持技能组合、执行顺序、条件分支、异常处理和人工介入规则,让客户能够灵活配置业务流程。 打通流程编排与机器人执行,提供任务状态、执行记录、异常定位与恢复能力,降低客户使用和运营门槛。

5、建设远程接管与运行数据闭环 建设状态监控、异常告警、接管请求、人员调度及远程操作系统,支持一名操作人员管理多个机器人并按需接管。 与模型及机器人团队共同建立潜在失败识别、暂停或安全处置、控制权切换、人工接管和自主执行恢复机制,明确通信异常与设备本地保护的接口和责任。 将自主运行、失败案例及人工接管数据关联回流,经质量筛选、训练和评测后用于模型迭代,持续降低人工介入频次与运营成本。

6、负责技术交付与客户场景验收 统筹场景方案、系统集成、现场部署调试、测试验证及技术验收,牵头解决上线后的复杂技术问题,形成研发与现场交付闭环。 与相关团队明确任务和环境范围、验收口径及发布标准,持续改善自主任务成功率、最终完成率、任务耗时、接管频次、系统稳定性与故障恢复时间。

7、建设团队与跨部门协作机制 将客户现场的共性需求沉淀为标准产品、部署工具和交付规范,提高后续项目的可复制性和交付效率。 组建并管理平台与产品工程、机器人端应用与部署、应用算法、系统测试及交付工程等团队,建立研发质量、发布和故障响应机制。 与机器人负责人、具身模型负责人协同制定技术接口、能力交付节点及问题升级机制,推动跨团队资源与客户交付目标对齐。

1、具备复杂软件系统、智能设备或机器人产品的研发管理经验,承担过整体架构、团队建设和商业化技术交付责任。 2、有从产品研发、现场部署到验收及持续运营的完整经历,能够将单场景试点推进至多客户或多设备的规模化应用。 3、熟悉云端与设备端协同架构,在设备接入、任务调度、远程控制、状态监控、模型或软件部署等方面具有扎实的工程经验。 4、理解机器学习的数据采集、微调、评测、部署及推理流程,具备带领应用算法团队或与算法团队共同优化真实场景效果的经验。 5、具备系统集成和现场问题定位能力,能跨硬件、模型、软件与业务流程分析根因,亲自参与关键架构设计和复杂问题解决。 6、具备面向B端的产品判断力,能够将复杂技术转化为非专业客户可理解、可操作的流程,并平衡交付需求与平台长期演进。 7、具备跨团队推进和结果管理能力,能够明确责任边界、验收标准和研发优先级,以实际任务效果、稳定性和交付效率衡量成果。

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