# Android 系统性能分析工具开发实习生

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: 上海
- Role: Engineering
- Apply on the official site: https://xiaomi.jobs.f.mioffice.cn/internship/position/7621737635673442566/detail

## Role description from source

1、参与 Android 系统用户态与内核态性能分析工具的研发，包括 CPU 调度、I/O、帧率、唤醒延迟等维度；
2、基于 Perfetto、Simpleperf、eBPF 等平台进行数据采集模块的开发与优化；
3、探索将 LLM / AI Agent 能力引入性能分析链路，实现 trace 自动解读、瓶颈定位、根因归因等智能化功能；
4、编写工具使用文档及分析 Case 沉淀，推动工具在团队内落地；
任职要求
1、熟悉 Linux 内核基础（进程调度、中断、系统调用），了解 Android 系统架构；
2、具备 Python / C++ 之一的编程能力；有 Perfetto / Systrace / perf 使用经验者优先；
3、对LLM/AI Agent 应用有了解或实践经验者加分。
接口顶部原始条件（未做资格推断）
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opening_id: cf07f203-488d-40d1-b43c-8fd432b5c150

`anm openings save --id cf07f203-488d-40d1-b43c-8fd432b5c150`