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Xiaomi · 北京

# AI 模型加速优化算法工程师

北京 

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/7670907317923252490/detail)

[OpenNash Jobs](https://jobs.opennash.com/) / [Xiaomi ](https://jobs.opennash.com/companies/xiaomi/) / AI 模型加速优化算法工程师

## Job description

岗位职责
- 负责大模型、多模态大模型、AIGC、自动驾驶、多媒体/ISP 等 AI 模型端侧加速优化算法的研发与探索；
- 负责模型训练调优及压缩优化，包括但不限于量化、剪枝、蒸馏、稀疏化、小型化、NAS、推理加速等技术研发；
- 与芯片团队协同开展算法-芯片联合设计与优化，提供面向自研芯片的模型加速解决方案；
- 支持业务模型在自研芯片上的训练优化、部署交付及性能持续优化。

## Qualifications

岗位要求
- 在大模型、AIGC、自动驾驶、多媒体/ISP、AI 芯片等方向上具有相关项目或实习经验；
- 熟悉模型量化、剪枝、蒸馏、稀疏化、训练调优及性能优化等模型压缩与加速技术；
- 熟练使用 PyTorch，熟悉 Transformer、Diffusion 等模型，掌握 TensorRT、ONNX Runtime、TVM 等至少一种部署或优化框架；
- 有芯片算法联合优化、端侧 AI 部署或模型加速项目经验者优先；
- 有大模型/AIGC/自动驾驶/多媒体 ISP 模型优化经验，或相关论文、专利、开源项目者优先。

## 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: 北京[Apply on Xiaomi ’s careers site →](https://xiaomi.jobs.f.mioffice.cn/campus/position/7670907317923252490/detail)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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