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Kuaishou Technology · Hangzhou

# 容器云AI Infra实习生

Hangzhou 

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/23985)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 容器云AI Infra实习生

## Job description
- 负责分布式大语言模型 (LLM) 推理系统的底层基础设施研究与探索，包括 GPU 和 RDMA 等，提升 GPU 环境下的稳定性和计算效率；
- 负责大规模模型训练场景优化工作，通过建设全面的异常发现、故障自愈机制，提升平台训练 MFU，降低训练成本；
- 基于容器以及 Kubernetes 技术，负责对机器学习领域中的资源调度、模型训练、模型推理、数据管理等多个子方向的成本效率优化工作；
- 持续关注并跟进业界技术发展，比如超长上下文、思维链、多模态方向。
- 本科及以上学历，计算机相关专业；
- 掌握常用数据结构与算法，具备扎实的编程基础和良好的编码习惯；
- 熟悉至少一种编程语言（如 Golang、Java、Python 等）;
- 有 Docker、Kubernetes、vLLM、SGLang、RouteLLM 等技术的学习或实践经验者优先，参与过开源项目更佳；
- 积极主动，自驱力强，具备良好的团队合作精神和解决问题的能力；

### 对如下一个或多个领域有浓厚的兴趣，并愿意付出自己的时间进行深入研究和探索
- a.

### 机器学习框架

PyTorch、TensorFlow等机器学习框架、GPU等异构计算芯片及优化、MLOps、CV/NLP/搜广推等领域模型算法等。 b.

### 云原生

Kubernetes及容器系统、大规模训练任务和推理服务编排和调度、镜像加速等。

## 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: Hangzhou[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/23985)

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