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Open nowPosted 1337 days ago

硬件加速测试开发工程师(AI芯片) - 芯片研发

ByteDance19,268 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now硬件加速测试开发工程师(AI芯片) - 芯片研发ByteDance · Beijing, Chinese Mainland
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Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 9 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 1337 days ago

ByteDance median: 9 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、参与AI芯片编译器工具链测试开发工作,参与编译器工具链测试方法设计、测试系统搭建和测试开发工作,参与编译器性能优化验证工作; 2、协同开发团队建立编译器验证机制和评价标准; 3、参与推理模型性能、精度日常测试执行、问题跟踪工作; 4、参与设计、建立以及推动AI芯片软件质量持续提升流程; 5、参与AI芯片整体软件栈质量流程建设,对软件开发的质量进行监控和追踪; 6、参与开发和运维AI芯片云服务基础设施和分布式系统(包含K8s集群、CI/CD系统、工作流系统、追踪探测系统等),为业务提供高可用、高稳定、高性能、低成本的云服务。

1、本科及以上学历,计算机科学/电子工程相关专业;1年以上软件开发及测试工作经验,有AI芯片软件栈测试相关经验者优先; 2、熟练掌握汇编,C/C++,Python,Go,Shell等一种或者多种语言; 3、了解主流平台开发技术和体系(React,Vue,Nodejs,Python,Go等);了解云原生相关技术(K8s,微服务、GitOps、DevOps等);了解深度学习相关算子和优化技术; 4、了解TVM或者MLIR等构建第三代深度学习框架的技术;了解图优化和算子融合等优化技术; 5、熟悉AI计算架构以及优化有经验者优先;熟练操作Linux系统,有在Unix/Linux环境下工作经验; 6、工作务实、敬业,有强烈的责任意识,具备较强的领导能力,以及良好的沟通及协调能力。

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