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Contemporary Amperex Technology · 宁德市, 福建, 中国

# AI算力调度工程师

宁德市, 福建, 中国 

Listed on Contemporary Amperex Technology’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Contemporary Amperex Technology’s careers site →](https://app.mokahr.com/social-recruitment/catlhr/98098#/job/de7fbff9-4e2c-4da8-9a26-73af6b4ba036)

[OpenNash Jobs](https://jobs.opennash.com/) / [Contemporary Amperex Technology](https://jobs.opennash.com/companies/contemporary-amperex-technology/) / AI算力调度工程师

## Job description

### 岗位职责
- 负责大规模GPU集群资源调度系统的设计与维护，算力扩容与采购计划制定，承接算力平台资源调度运营；
- 负责GPU/CPU/国产芯片等异构算力资源的统一纳管和调度；
- 设计实现大规模AI训练/推理任务的智能调度系统，落地Gang Scheduling、拓扑感知调度、亲和性调度等高级特性；
- 支撑PD分离架构下Prefill/Decode节点的动态调度与弹性伸缩，实现算力资源池弹性管理；
- 建立算力资源监控、计量与计费体系，优化GPU利用率、碎片率；
- 主导多用户GPU资源配额、抢占策略与弹性伸缩管理，落地细粒度权限与配额管控；
- 制定异构算力适配标准，支撑业务跨平台迁移；
- 负责调度系统高可用保障，主导调度故障应急响应、容量规划与性能调优。

### 任职要求

1、计算机科学、人工智能、软件工程等相关专业本科及以上学历，985/211院校毕业； 2、3年以上K8s集群运维及GPU调度开发经验，有千卡以上集群管理经验； 3、熟悉主流云原生调度生态，有Volcano/Kueue/Koordinator等调度器落地经验者优先； 4、精通Kubernetes GPU Operator、MIG/MPS等GPU虚拟化与隔离技术； 5、深入理解K8s Scheduler、Volcano、Kueue等调度器原理，熟悉Gang Scheduling、Priority Scheduling等调度策略； 6、熟悉NVIDIA GPU架构及CUDA生态，了解国产AI芯片（昇腾CANN/海光DCU/寒武纪等）适配； 7、熟悉Prometheus/Grafana监控体系，具备资源计量、计费与成本优化经验； 8、有异构资源池化、PD分离架构、弹性伸缩实战经验者优先； 9、具备较强的领域内故障排查和解决能力，能独立处理复杂技术问题；具备良好的沟通能力和团队协作精神，能适应值班和应急响应工作。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: Under a day
- Location: 宁德市, 福建, 中国[Apply on Contemporary Amperex Technology’s careers site →](https://app.mokahr.com/social-recruitment/catlhr/98098#/job/de7fbff9-4e2c-4da8-9a26-73af6b4ba036)

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