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Xiaomi · 北京

# AI算力工程师

北京 

Listed on Xiaomi ’s official careers site. Posted August 11, 2026. Check that it is still open and apply there.
[Apply on Xiaomi ’s careers site →](https://xiaomi.jobs.f.mioffice.cn/campus/position/7670923335837108499/detail)

[OpenNash Jobs](https://jobs.opennash.com/) / [Xiaomi ](https://jobs.opennash.com/companies/xiaomi/) / AI算力工程师

## Job description

### GPU 核心能力建设
- 持续探索前沿 GPU 芯片的技术特性，包括国产卡适配、混合精度、模型量化、显存优化等技术，将芯片能力转化为业务竞争力，有力支撑集团 AI 战略落地；

### 万卡集群调度与管理
- 基于 Kubernetes 建设和运营万卡级 GPU 集群，负责 GPU 适配、拓扑感知调度、Gang 调度、GPU 故障自愈、全链路可观测等核心能力，支撑小米自研大模型 MiMo 的训练和推理等重点业务场景；

### GPU 池化和利用率提升
- 统一纳管小米 GPU 资源，推进 GPU 调度优化、资源池化、GPU 虚拟化、训推混部等关键技术研发，持续提升全集团 GPU 资源利用率，实现技术降本增效。

## Qualifications
- 熟悉主流 GPU 训练和推理芯片，熟悉 CUDA 生态，有大模型训练和推理优化经验优先；
- 熟悉 Kubernetes 和 GPU 算力管理，有万卡集群建设和 GPU 利用率提升经验优先；
- 熟练 Go/Python/C++至少一门语言，有 PyTorch/Volcano/Megatron/SGLang 框架熟悉者优先 计算机相关专业，本科及以上学历。

## At a glance
- Posted by the employer: Aug 11, 2026
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 69 days
- Location: 北京[Apply on Xiaomi ’s careers site →](https://xiaomi.jobs.f.mioffice.cn/campus/position/7670923335837108499/detail)

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

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