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Open nowPosted 1552 days ago

硬件加速训练AI Infra工程师（AI芯片） - 芯片研发

ByteDance19,207 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now硬件加速训练AI Infra工程师（AI芯片） - 芯片研发ByteDance · Beijing, Chinese Mainland

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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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. 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. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 1552 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、负责自研硬件训练框架开发（Torch、Megatron、Dtensor等）； 2、对接业务大模型例如豆包、Seedance等模型在自研硬件上训练任务支持； 3、开发DP、SP、TP、PP等分布式并行方式并且优化； 4、训练业务通信、计算、通算融合算子研发以及性能优化。

1、1-5年异构硬件、GPU相关领域训练开发经验，熟悉PyTorch、FSDP、Megatron-LM、VeRL分布式训练框架； 2、对数据并行、模型并行、分布式数据并行等常见训练模式有深入理解； 3、参与过硬件加速器训练相关研发工作，包含Torch Compiler、算子开发、编译调度优化等； 4、有主动学习、快速解决问题的能力和自我驱动力。

以下为加分项： 1、有大模型训练百、千卡以上集群训练落地经验； 2、有异构硬件、NPU等训练、推理开发经验，对硬件比较了解； 3、熟悉计算机体系结构和并行计算； 4、有GPU、FPGA或AI芯片相关的开发和评测经验。

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