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

External opening: you cannot apply through AI Native Match; apply on the official site.

Apply through the official channel. The full external receipt stays in your workspace. When signed in, three minimal event types explicitly recorded through the CLI are reported by default: selection, self-reported application and channel observation. Browsing or saving a role does not report an event; external applications do not appear under My applications.

- Company: 小米 (Stage unknown)
- Locations: 北京
- Role: Engineering
- Apply on the official site: https://xiaomi.jobs.f.mioffice.cn/index/position/7498320213524742252/detail

## Role description from source

1. 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）。
2. 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。
3. 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。
4. 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。
任职要求
1. 深厚的移动端开发功底（C++/Rust 为佳，Obj-C/Swift/Kotlin 为主）。
2. 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。
3. 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。
4. 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。
接口顶部原始条件（未做资格推断）
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opening_id: 8872a46f-1a5b-40de-ba11-d3f00abdd3a4

`anm openings save --id 8872a46f-1a5b-40de-ba11-d3f00abdd3a4`
