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Open nowPosted 75 days ago

AI Infra 系统研发工程师

xskydata/career26 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
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Your applicationOpen nowAI Infra 系统研发工程师xskydata/career · Shenzhen, Guangdong, Chinese Mainland
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 75 days ago

The posting

业务方向: 1、开发高性推理引擎及相关核心组件,根据硬件特性和 AI 模型的特点,不断迭代和完善,持续提升推理性能。 2、开发分布式 KVCache 存储组件,负责 KVCache 生命周期管理,包括显存、内存、SSD 的分层和缓存策略优化。 3、分析和优化推理阶段的性能瓶颈,进行系统级调优,建设并完善性能剖析和优化工具链,沉淀性能优化方法论。

工作范式: 我们正在打造一个 AI-Native(原生 AI) 的研发环境,将 AI Agent 视为团队的“虚拟合作者”。 - 拒绝低效重复: 那些原本耗费你大量精力的 CRUD、样板代码、单元测试和文档编写,在这里统统交给 AI Agent 自动化完成。 - 专注高维价值: 腾出宝贵的时间,专注于 系统架构设计、复杂业务逻辑拆解、技术决策 以及 用户体验创新。 - 超级个体: 我们鼓励并支持每一位工程师成为“以一抵十”的超级个体。

为了支持这一理念,我们提供环境支持: - 工具链支持: 公司全额承担AI 生产力工具的订阅费用。无需为工具的 Token 焦虑,只需关注如何解决问题。 - AI-First 基础设施: CI/CD 流水线和开发脚手架正面向 Agent 模式构建,通过自然语言指令快速部署和验证代码。 - 容错与探索空间: 我们鼓励你在项目中探索 AI Agent 的新边界。

1、熟悉 Linux 开发环境,掌握 Python、C、C++、Golang 至少一门。 2、有扎实的计算机系统基础(操作系统、计算机网络等) 3、优秀的分析解决问题能力,愿意深入复杂系统和底层细节,具有良好的编程基础及系统设计及优化能力。 4、具备良好的技术热情和责任感,良好的团队意识和沟通能力。 5、能够跟 AI Coding Agent 合作,提高工作效率。 6、熟悉 vLLM、SGLang、Mooncake、LMCache 等推理项目,熟悉推理的常用优化策略 7、熟悉英伟达、国产 GPU、NPU 的芯片底层架构 8、参加过大型项目开发

加分项 1、在大型开源项目中有深度贡献,或者有优秀的个人开源项目。 2、熟悉 CUDA、Triton、TensorRT、Ascend、C++ 等算子开发 3、有系统方向背景,比如分布式系统、操作系统、网络、高性能计算等。

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