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Xiaomi · 北京

# Miclaw-移动端 AI 性能专家 (Engine & Efficiency)

北京 

Listed on Xiaomi ’s official careers site. Posted March 23, 2026. Check that it is still open and apply there.
[Apply on Xiaomi ’s careers site →](https://xiaomi.jobs.f.mioffice.cn/index/position/7498320213524742252/detail)

[OpenNash Jobs](https://jobs.opennash.com/) / [Xiaomi ](https://jobs.opennash.com/companies/xiaomi/) / Miclaw-移动端 AI 性能专家 (Engine & Efficiency)

## Job description

### 引擎调优
- 负责 Android/iOS、与云端 Mimo 或本地 ExecuTorch/ncnn 的底层接入与硬件加速（NPU/GPU/Metal）。

### 效率突破
- 实现 Speculative Decoding (投机采样) 或 Prompt Caching，在手机端将 TTFT（首包延迟）降至极致。

### 性能监控
- 建立全链路监控指标体系，关注 Tokens/sec、ITL (Token 间延迟) 以及 Agent 后台运行时的功耗曲线。

### 资源调度
- 解决多 Agent 并发请求时的资源竞争问题，防止手机卡顿或发热降频。

## Qualifications
- 深厚的移动端开发功底（C++/Rust 为佳，Obj-C/Swift/Kotlin 为主）。
- 精通端侧模型量化技术（GGUF、EXL2、AWQ 等），能平衡模型精度与推理速度。
- 理解 Transformer 底层算子逻辑，有对 KV Cache 进行内存压缩或分页管理的实战经验。

### 硬核要求
- 能够从 Profiler 工具中定位瓶颈，并在极端网络/硬件环境下保持 Agent 请求的高稳定性。

## At a glance
- Posted by the employer: Mar 23, 2026
- First seen by OpenNash: Aug 1, 2026
- Last checked: Oct 19, 2026
- Listed for: 210 days
- Location: 北京[Apply on Xiaomi ’s careers site →](https://xiaomi.jobs.f.mioffice.cn/index/position/7498320213524742252/detail)

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