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Open nowPosted 131 days ago

AI for Science性能优化工程师-Seed

ByteDance19,206 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowAI for Science性能优化工程师-SeedByteDance · Beijing, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

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

  4. CV RocketApplied on ByteDance's own form.

The reply lands in your private mailbox

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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 131 days ago

ByteDance median: 2 days open

The posting

1、负责AI4S模型（如MLFF、Cofolding等）的训练与推理性能优化，提升模型吞吐、资源利用率和整体计算效率； 2、基于PyTorch、CUDA、Triton等技术栈，分析和解决模型训练、推理过程中的性能瓶颈； 3、利用Torch.Compile、编译优化及算子融合等技术，持续提升模型执行效率和GPU利用率； 4、建立性能分析与Benchmark体系，使用Profiling工具定位系统热点并推动优化方案落地； 5、与算法、平台及科学计算团队紧密协作，共同推动AI4S模型和基础设施的性能演进。

1、硕士学位及以上，计算机、软件工程、数学、物理等相关专业，3年以上AI系统性能优化工作经验； 2、熟练掌握Python和C++，具备扎实的软件工程能力和良好的编码习惯； 3、熟悉PyTorch训练与推理流程，具备模型性能优化的实际项目经验； 4、熟悉CUDA编程、GPU体系结构及性能分析工具（Nsight Systems、Nsight Compute、PyTorch Profiler等），能够独立完成性能瓶颈定位与优化； 5、具备Triton、Torch.Compile、分布式训练（FSDP、DeepSpeed等）相关经验，有训练加速、推理加速或GPU Kernel优化项目经验者优先。

加分项 1、具备CUDA Kernel开发或编译优化相关经验； 2、熟悉TorchInductor、TensorRT、XLA、TVM等技术； 3、具有大模型、科学计算或AI4S相关工作负载的性能优化经验。

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