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Tencent Holdings · Beijing

# 混元训练 Infra 工程师-Dataloader/Checkpoint 方向-（北京/深圳/上海/杭州）

Beijing Data & Analytics 

Listed on Tencent Holdings’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2064594834597003264)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 混元训练 Infra 工程师-Dataloader/Checkpoint 方向-（北京/深圳/上海/杭州）

## Job description

### 分布式 Dataloader
- 多源数据加载框架研发，优化预处理流水线、IO 瓶颈与数据倾斜，对接对象存储 / 分布式文件系统，支持动态采样与增量更新；​；

### Checkpoint 管理
- 设计高吞吐存储 / 加载方案，优化压缩、分片与冷热分层，实现版本管理、备份恢复与分布式训练框架兼容；​；

### 系统优化
- 监控吞吐 / 延迟 / 显存指标，定位性能瓶颈，保障极端场景下训练连续性；​；

### 跨团队协作
- 对齐业务需求，沉淀技术最佳实践。​。 Requirements
- 本科及以上学历，3 年 + AI Infra / 分布式系统 / HPC 经验；​；
- 精通 Python/C++，深入理解 Linux 内核、IO 模型，熟悉 PyTorch（优先）及分布式训练原理；​；
- 有分布式 Dataloader 研发与 IO 密集型任务优化相关经验；​；
- 有 checkpoint 存储 / 加载 / 压缩优化相关经验；​；
- 熟悉对象存储 / 分布式文件系统与缓存、分片策略；​；
- 具备系统性能瓶颈分析与 GPU/CPU 优化案例。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Jul 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 92 days
- Location: Beijing[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2064594834597003264)

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### [AI infra研发工程师(北京/深圳)](https://jobs.opennash.com/companies/tencent-holdings/jobs/eda44bea14836b2b9952/)

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