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Xiaomi · 上海

# 模型优化工程师

上海 

Listed on Xiaomi ’s official careers site. Posted August 26, 2026. Check that it is still open and apply there.
[Apply on Xiaomi ’s careers site →](https://xiaomi.jobs.f.mioffice.cn/campus/position/7670910643553863962/detail)

[OpenNash Jobs](https://jobs.opennash.com/) / [Xiaomi ](https://jobs.opennash.com/companies/xiaomi/) / 模型优化工程师

## Job description
- 负责AI模型的网络级压缩与优化，涵盖量化（QAT/PTQ）、投机采样（Speculative Decoding）、Token压缩、知识蒸馏等技术；
- 针对大小模型设计并实现差异化量化方案，如小模型的KL散度、Percentile、AdaRound等，大模型的SmoothQuant、AWQ等；
- 参与模型网络结构的优化与重构，将现有网络的算子、Block替换为高效、硬件友好的架构；
- 参与模型训练与微调，能够复现、分析并改进前沿模型结构；
- 与硬件团队紧密合作，提供模型优化视角的硬件设计建议，推动下一代芯片对新型算子与网络结构的支持。

## Qualifications
- 计算机科学、人工智能、数学等相关专业硕士及以上学历；
- 深入理解模型量化技术（PTQ/QAT），至少熟悉一种小模型或大模型量化方案，并有实际部署经验；
- 熟悉大模型推理优化技术，如投机采样、Token剪枝、稀疏化等；
- 具备较强的模型训练与复现能力，能够阅读论文并快速实现网络结构改进；
- 了解芯片计算特性；
- 代码能力强，熟练使用PyTorch/TensorFlow等框架，熟悉底层算子开发（如CUDA kernel）者更佳。

## At a glance
- Posted by the employer: Aug 26, 2026
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 54 days
- Location: 上海[Apply on Xiaomi ’s careers site →](https://xiaomi.jobs.f.mioffice.cn/campus/position/7670910643553863962/detail)

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