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

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Kuaishou Technology jobs](https://jobs.opennash.com/companies/kuaishou-technology/) · [Search jobs](/search/)

Kuaishou Technology · Beijing

# （可灵AI专项）大模型推理系统开发实习生

Beijing 

Listed on Kuaishou Technology’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/27177)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / （可灵AI专项）大模型推理系统开发实习生

## Job description
- 搭建多模态内容生成的多阶段分布式推理链路，负责视觉/文本/音频等多模态模型服务的开发与部署以及推理pipeline的编排调度；
- 参与推理编排调度引擎以及模型服务部署框架研发，优化多国家、多租户、多多服务、分支业务场景下的推理服务吞吐、资源利用率和开发迭代效率；
- 参与超大规模异构推理集群的算力智能分配系统研发，通过流量价值建模、资源弹性扩算、算力负载均衡等技术手段，极致优化资源效率并保障服务稳定性。
- 预计2026或之后获得硕士及以上学历，计算机、软件工程、人工智能等相关专业优先；
- 计算机和编程基础扎实，熟练掌握Java或Python，有服务端系统的开发经验；
- 有较强的工作责任心和自驱力，较好的学习能力和沟通能力，良好的工作文档习惯；
- 熟悉大模型推理或训练框架（如vLLM、SGLang、PyTorch等）、云原生编排调度者优先。

## 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: Beijing[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/27177)

## More jobs at Kuaishou Technology

### [(大模型专项）多模态大模型算法工程师](https://jobs.opennash.com/companies/kuaishou-technology/jobs/98edf462c05648daadcf/)

Beijing

### [AI Agent 开发实习生（电商在线推荐引擎）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/5945a85b9a833fcbb5f8/)

Beijing

### [AI Agent 策略实习生](https://jobs.opennash.com/companies/kuaishou-technology/jobs/b814e14328b750da25f6/)

Beijing

### [AI Agent算法专家](https://jobs.opennash.com/companies/kuaishou-technology/jobs/0e36be4e740de43e02ad/)

Beijing

### [AI Agent算法专家（智能创作方向）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/41a78c4c892cbbd1bc50/)

Beijing

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/)
