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S.F. Holding · 深圳市

# 运筹优化算法工程师（AGV）

深圳市 

Listed on S.F. Holding’s official careers site. Posted September 22, 2026. Check that it is still open and apply there.
[Apply on S.F. Holding’s careers site →](https://crs-pub.sf-express.com/recruitcenter/#/positionDetail/116826?jobId=73159&role=3)

[OpenNash Jobs](https://jobs.opennash.com/) / [S.F. Holding](https://jobs.opennash.com/companies/sf-holding/) / 运筹优化算法工程师（AGV）

## Job description

### 职责

1参与多AGV协同作业系统的路径规划与实时避障算法研究、设计与优化，解决大规模AGV在仓储场景中的冲突避免、死锁解除等关键问题 2负责AGV集群调度系统任务分配、静态/动态路径规划、交通管制、拥堵疏导、监控报警、调度仿真等功能，持续优化系统运行效率 3跟踪多智能体路径寻找（MAPF）、运动规划等领域的前沿技术，推动算法在工业场景的落地转化 任职要求：1计算机、自动化、软件工程、机器人、运筹学等相关专业‌本科及以上学历‌ 2扎实的数据结构与算法基础，熟练掌握A*、Dijkstra等经典路径规划算法，了解RRT、DWA等采样/局部规划算法 3精通‌JAVA等编程语言，具备良好的工程实现能力 4具备图论、优化理论等相关数学基础，了解车辆交通流理论与实时交通流控制优化算法者加分 5有AGV/AMR仓储物流项目经验、MAPF相关科研经历，或数学建模、ACM等程序设计竞赛获奖者优先

## At a glance
- Posted by the employer: Sep 22, 2026
- First seen by OpenNash: Oct 12, 2026
- Last checked: Oct 19, 2026
- Listed for: 27 days
- Location: 深圳市[Apply on S.F. Holding’s careers site →](https://crs-pub.sf-express.com/recruitcenter/#/positionDetail/116826?jobId=73159&role=3)

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