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Kuaishou Technology · Beijing

# 推理优化实习生

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/28999)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 推理优化实习生

## Job description

### 编排部署
- 参与构建高可用的大模型服务编排框架，支持多模型、多版本并行服务；设计并实现大模型服务的自动化部署、扩缩容和健康检查机制； 开发模型版本管理和灰度发布系统，保障服务平滑升级，构建容器化部署方案，优化资源利用率和部署效率； 优化推理服务启动消耗性能，实现推理服务的极致弹性能力；

### 流量调度
- 实现智能流量路由策略，支持按模型、用户、优先级等多维度调度；开发负载均衡算法，优化多GPU卡、多节点的推理请求分配； 构建请求排队与调度系统，处理高并发场景下的资源争用；设计并实现分级降级策略，保障核心服务的高可用性；

### 自动化与平台建设
- 参与开发和维护自动化运维工具/平台，实现服务的自动化部署、扩缩容和故障自愈； 协助进行系统容量规划，通过压力测试和混沌工程实验，主动发现系统的薄弱环节，并参与加固； 编写和维护自动化脚本（如Python/Shell），简化日常运维操作。
- 计算机科学、软件工程或相关专业本科及以上在校生；
- 熟悉至少一门编程语言，如 Python/Go/Java，并具备良好的编码习惯；
- 了解Linux操作系统、网络（TCP/IP, HTTP）和容器化技术（Docker, Kubernetes）；
- 强烈的责任心 和积极主动的态度，对保障系统稳定性有浓厚的兴趣；
- 具备优秀的问题分析和解决能力，乐于钻研技术难题；
- 良好的团队沟通和协作精神。

## 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/28999)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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