[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All JD.com jobs](https://jobs.opennash.com/companies/jd/) · [Search jobs](/search/)

JD.com · 北京市-北京市

# 物流场景下具身智能仓储机器人开发及应用

北京市-北京市 

Listed on JD.com’s official careers site. Posted July 20, 2026. Check that it is still open and apply there.
[Apply on JD.com’s careers site →](https://campus.jd.com/#/details?id=8620)

[OpenNash Jobs](https://jobs.opennash.com/) / [JD.com](https://jobs.opennash.com/companies/jd/) / 物流场景下具身智能仓储机器人开发及应用

## Job description

工作职责
- 推进硬件技术与大模型深度融合，通过感知与运控技术提升仓储作业效率；
- 攻坚视觉识别技术，研发基于模型算法的智能抓取与搬运系统；
- 应用VLA端到端闭环特性，实现“感知-指令-动作”全链路协同控制；4. 针对复杂仓储场景进行路径优化与动态避障，解决精准抓取与搬运难题。 任职要求
- 获得本科及以上学历，机器人学、自动化、计算机科学、机械电子工程等相关专业；
- 具备机器人硬件控制系统与多模态大模型深度融合的研发经验，精通计算机视觉技术，能够解决复杂货品的高精度识别、定位与智能抓取搬运难题；
- 熟悉视觉语言动作模型（VLA）架构及端到端闭环特性，具备实现机器人“感知-决策-动作”全链路协同控制的实战能力；
- 熟练掌握路径规划与动态避障算法，具备在复杂动态仓储场景下进行系统优化、提升长时序作业鲁棒性与感知效率的工程落地经验。

## At a glance
- Posted by the employer: Jul 20, 2026
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 91 days
- Location: 北京市-北京市[Apply on JD.com’s careers site →](https://campus.jd.com/#/details?id=8620)

## More jobs at JD.com

### [3D医疗影像多模态基础大模型研究](https://jobs.opennash.com/companies/jd/jobs/31cea141d3ff4222fc49/)

北京市-北京市

### [3D可控生成与空间智能多模态研究](https://jobs.opennash.com/companies/jd/jobs/9264cfdaab33cfb45f96/)

北京市-北京市

### [AI多模态存储与向量化计算探索研究](https://jobs.opennash.com/companies/jd/jobs/e91a2f3f9d7be9a91867/)

北京市-北京市

### [CodeAI代码大模型全链路与推理优化](https://jobs.opennash.com/companies/jd/jobs/234f9df632b03e4bec55/)

北京市-北京市

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)