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Tencent Holdings · Beijing

# 机器学习平台调度工程师​​（北京/深圳/上海/杭州）

Beijing 

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=2043890038449799168)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 机器学习平台调度工程师​​（北京/深圳/上海/杭州）

## Job description

### Responsibilities
- 主导万卡级GPU集群的全局资源调度，通过精细化管理和优化策略，显著提升资源利用率，确保离线和在线任务的高效稳定运行；
- 深入优化RDMA高速网络、分布式存储与计算资源的协同调度，有效解决大规模训练任务中的性能瓶颈，提升整体计算效率；
- 基于Kubernetes、Docker等云原生技术，构建高可用调度框架，全面支持分布式训练框架，实现任务编排、容灾与混部能力，并深入K8s调度器、CSI插件及CRD的开发，推动大规模训推技术的实际落地；
- 积极探索混合云、虚拟化、ARM异构计算等前沿方向，不断推动技术与平台能力的升级和创新。 Requirements
- 熟练掌握Go/Python/C++至少一门编程语言，精通数据结构和算法，具备扎实的编程基础和问题解决能力；
- 熟悉Kubernetes核心组件（调度器/网络/存储）、容器运行时及CRD开发，具备丰富的大规模集群调优经验，能够有效应对复杂环境下的调度需求；
- 具备OpenMP/MPI/RDMA高性能计算开发经验，熟悉并行计算原理及优化技巧，能够提升大规模训练任务的执行效率；
- 熟悉主流AI框架（Pytorch/TensorFlow等）及训练加速技术（算子优化/显存管理），能够针对AI任务进行深度优化。

## 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=2043890038449799168)

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