# 顶尖应届-性能功耗研发工程师- 相机

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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/toptalent/position/7646709260970330409/detail

## Role description from source

1、开展异构计算能效优化关键技术预研，重点突破跨处理单元的动态电压调节（DCVS）与调度协同理论；
2、探索新型底层调度机制，研究基于强化学习的负载跟踪算法并完成原型验证平台搭建；
3、打造 AI Harness 自动化进化底座。 建立一套高能力相机能效研发Harness系统，能够自动执行测试、捕捉 负载回退 等异常 Trace，并利用 RAG技术，自动对比代码和性能 Baseline，给出初步的 Root Cause 分析报告；
4、预研编译优化协同技术，开发面向影像系统的LTO/PGO优化原型及跨平台效能分析工具链。
任职要求
【教育背景】
计算机、电子工程、自动化或人工智能相关专业，硕士/博士学历；

【技术栈】
1、AI Agent 开发：熟悉 LangChain、Dify 或类似的 Agent 开发框架，理解 Agent 的内存机制和工具调用逻辑；
2、工程 Harness 能力：熟练使用 Python 编写高可用的自动化测试框架，有持续集成（CI/CD）或云端大规模真机调试经验；
3、编程功底：扎实的C/C++ 开发能力，能够阅读并修改内核源码，精通 Python 自动化分析脚本编写；
4、系统底层能力：精通 Linux Kernel 调度机制、内存管理（Memory Management）及 Thermal 温控策略；
5、具有优秀的沟通协调能力和团队合作精神，能够快速学习新技术。
接口顶部原始条件（未做资格推断）
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opening_id: f16e8ebb-002b-4041-8d91-2f63a13bfcd0

`anm openings save --id f16e8ebb-002b-4041-8d91-2f63a13bfcd0`
