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

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All China Telecom jobs](https://jobs.opennash.com/companies/china-telecom/) · [Search jobs](/search/)

China Telecom · 济南市-历下区

# 智算云架构师（博士）

济南市-历下区 

Listed on China Telecom’s official careers site. Posted September 3, 2026. Check that it is still open and apply there.
[Apply on China Telecom’s careers site →](https://job.chinatelecom.com.cn/wt/TELE/web/index/webPosition210!getOnePosition?postId=139183&recruitType=1&brandCode=1&columnId=1)

[OpenNash Jobs](https://jobs.opennash.com/) / [China Telecom](https://jobs.opennash.com/companies/china-telecom/) / 智算云架构师（博士）

## Job description

### Responsibilities
- 负责省级智算中心规划建设与算力资源调度优化，构建全省统一算力调度体系。
- 推动天翼云省内节点能力提升，支撑政企客户上云用数赋智，培育算力增值服务。
- 探索智算与行业应用的融合路径，开展算力网络、算电协同等技术研究与落地。
- 对接集团算力网络规划，统筹省内算力资源布局，提升算力资源利用率，满足全省政企智算需求。

### Requirements
- 扎实掌握云计算、分布式系统、算力网络等基础理论，在相关领域顶级会议或期刊发表过高水平论文者优先。
- 具备云平台架构设计与GPU集群调度实践经验，熟悉Kubernetes、容器化、高性能计算等技术，了解国产算力生态。
- 具有较强的系统架构设计能力和创新意识，能够牵头算力基础设施建设方向。

## At a glance
- Posted by the employer: Sep 3, 2026
- First seen by OpenNash: Oct 11, 2026
- Last checked: Oct 18, 2026
- Listed for: 45 days
- Location: 济南市-历下区[Apply on China Telecom’s careers site →](https://job.chinatelecom.com.cn/wt/TELE/web/index/webPosition210!getOnePosition?postId=139183&recruitType=1&brandCode=1&columnId=1)

## More jobs at China Telecom

### [AI开发工程师](https://jobs.opennash.com/companies/china-telecom/jobs/05b290c14e17fb6907f5/)

济南市-历下区

### [AI算法与数据工程师（博士）](https://jobs.opennash.com/companies/china-telecom/jobs/7712da312a6c6bb681e0/)

济南市-历下区

### [云网安全与量子安全专家（博士）](https://jobs.opennash.com/companies/china-telecom/jobs/8804898e78769beb0bd5/)

济南市-历下区

### [会计核算](https://jobs.opennash.com/companies/china-telecom/jobs/dc798281dc683342f6f5/)

济南市-历下区

### [行业数字化解决方案架构师（博士）](https://jobs.opennash.com/companies/china-telecom/jobs/6bf2cf173dd51a40e063/)

济南市-历下区

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/)
