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Open nowPosted 112 days ago

端侧大模型推理与量化工程师

xiaopeng/index1,588 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now端侧大模型推理与量化工程师xiaopeng/index · Beijing, 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. xiaopeng/index postings stay open a median of 1 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 112 days ago

xiaopeng/index median: 1 days open

The posting

1、负责大模型与语音算法的量化、剪枝、蒸馏等模型精简与加速技术，完成在高通等移动端的转换、部署，保障端侧低延迟与高精度； 2、设计并实现端侧推理引擎，负责关键推理优化策略（如 Prompt Cache、投机解码、Flash Attention 等）的工程落地，结合图优化与算子适配，最大化 NPU/CPU/DSP硬件利用率； 3、负责跨平台推理 SDK 的架构设计、封装与迭代，提供稳定、高效的端侧推理接口； 4、负责推理链路延迟、精度与功耗问题的定位，并给出优化方案，推动端侧推理性能指标达成； 5、开发并迭代模型转换、精度与性能自动化测试工具链，提升算法到端侧的交付效率。

1、硕士及以上学历，人工智能、计算机、电子、数学等相关专业； 2、熟练掌握深度学习与大模型压缩和加速技术，包括量化、剪枝、蒸馏等，有端侧部署与精度调优实践经验； 3、熟练掌握大模型推理优化策略（如 Prompt Cache、投机解码、Flash Attention 等），熟悉 SNPE/QNN 或者MTK 等主流平台推理框架； 4、熟悉移动端与 Native 开发，熟练使用现代 C++，熟悉 Android Native / HAL 层开发调试与系统级性能分析； 5、具备良好的跨团队协作与推动能力，能够与算法团队、芯片供应方紧密沟通，推动模型部署的端到端性能和效果优化； 6、熟悉 ARM NEON / DSP intrinsic 等端侧底层加速技术者优先； 7、熟悉 ONNX模型，熟悉 MNN/NCNN 等通用推理框架及其原理者优先； 8、熟悉 VAD、唤醒、ASR 等语音前端算法逻辑者优先。

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