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Open nowPosted 612 days ago

NPU软件架构师/工程师（AI芯片） - 芯片研发

ByteDance19,210 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowNPU软件架构师/工程师（AI芯片） - 芯片研发ByteDance · Beijing, Chinese Mainland

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 612 days ago

ByteDance median: 2 days open

The posting

团队介绍：AI芯片团队深耕人工智能芯片研发领域，产品覆盖云端与终端场景，致力于提供高效率、低成本的AI芯片及 SoC 解决方案，满足公司内外AI及相关业务的算力需求。团队自主设计了多款AI芯片，涵盖推理、训练场景，具有高性能、高精度、高灵活性、编译器友好、低成本等特点。核心AI加速核与AI软件栈均为自主研发，具备完整知识产权，能够支撑面向不同模型、不同部署场景的持续演进与优化。

1、跟踪GPGPU/NPU行业最新动态、产品与技术架构，分析公司内部业务系统需求，结合自研芯片架构，输出系统软硬件协同设计方案； 2、负责自研AI加速芯片系统软件栈的开发交付，包括芯片设备侧Firmware/Host侧驱动/系统管理诊断工具； 3、负责自研AI加速芯片的NPU/CIM存算方向的软硬协同验证，性能分析优化，基于可编程接口进行算子用例开发； 4、负责NPU IP的软件栈移植适配与集成，包括NPU IP的Firmware/驱动/Runtime/SDK。

1、本科及以上学历，计算机、体系结构等相关专业； 2、熟悉Linux C/C++开发，有扎实的编程基础； 3、有GPGPU/NPU芯片项目研发经验，熟悉NVIDIA/AMD或国产厂家GPU计算产品，熟悉CUDA/ROCm等GPU软件栈； 4、熟悉计算机体系架构，对深度学习有深入的理解，对GPGPU/NPU/CIM存算体系结构至少熟悉一种，理解其微架构、主要指令集等； 5、有GPGPU/NPU Firmware/Linux驱动开发经验，对内存管理、Kernel任务调度、RAS等有实际开发调试经验； 6、熟悉第三方NPU IP的软件栈移植集成，结合SoC架构进行性能分析优化。

加分项： 1、有AI相关研发经验，熟悉CUDA编程，熟悉AI框架，对一种或者多种网络模型结构有深入理解； 2、擅长跨团队沟通交流协作，有项目或团队管理经验。

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