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Open nowPosted 8 hours ago

系统AI Infra研发工程师 - 移动OS

ByteDance18,604 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now系统AI Infra研发工程师 - 移动OSByteDance · Beijing, Chinese Mainland
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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 12 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 8 hours ago

ByteDance median: 12 days open

The posting

团队介绍:我们隶属于产品研发与工程架构部,是字节跳动在智能硬件领域的软件技术攻坚力量—— 聚焦 AI 与智能硬件的深度融合,如豆包手机助手等;以 “让人与设备的交互更自然、更便捷” 为目标,探索前沿 AI 技术的落地场景,打造行业领先的智能硬件综合解决方案。 在这里,你将与一支顶尖技术团队并肩: - 直击 AI 与硬件结合的核心技术难题,参与从 “技术探索” 到 “场景落地” 的全链路研发; - 主导或深度参与关键技术突破,用创新定义智能硬件的交互未来; - 站在行业前沿,将技术理想转化为千万用户可感知的产品体验。 如果你心怀对技术的热忱,渴望在 AI 与智能硬件的赛道上突破自我、创造价值,我们期待你的加入,与我们一起解锁更多技术可能,共筑智能交互的新生态!

1、系统AI基础架构建设:负责Android系统级AI Infra的架构设计与核心模块开发,建设统一的AI系统服务、基础框架和能力接口,实现系统服务、应用及设备能力的标准化封装、开放与集成,推动AI与操作系统深度融合; 2、Agent Runtime与上下文管理:负责系统级Agent Runtime/Harness建设,支持任务编排、工具调用、状态管理、中断恢复及异常处理;构建上下文感知与记忆管理能力,支持MCP、Tool Calling等技术,整合经授权的系统状态、应用状态和屏幕信息,支撑跨应用智能交互; 3、端侧AI与端云协同:负责端侧AI基础能力建设,包括模型服务接入、推理框架集成、多模型管理与能力路由、端云协同及计算资源管理,支持不同芯片平台与AI计算后端的适配,推动多模型、多场景的系统AI能力落地; 4、性能、安全与工程化建设:负责AI系统框架的性能、内存、功耗及稳定性优化,完善权限管理、隐私保护、执行隔离、异常恢复、日志追踪及评测体系;跟踪AIOS、Agent Framework等技术演进,协同算法、应用、云端及芯片团队推进技术落地。

1、熟练掌握C++、Java或Kotlin至少一种编程语言,具备扎实的操作系统、数据结构、并发编程及软件架构设计能力;具有复杂系统模块开发、性能分析、资源管理、稳定性优化及工程交付经验; 2、熟悉大语言模型及AI Agent基本原理,理解Agent Runtime/Harness、Function Calling、MCP、任务编排、上下文与记忆管理等技术;具备Agent框架、系统能力开放、跨应用自动化、AIOS或多模态智能交互项目经验者优先; 3、了解端侧AI推理框架、模型部署及端云协同相关技术;熟悉Llama.cpp、MNN、ONNX Runtime、ExecuTorch、QNN等框架。

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