[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Xiaomi jobs](https://jobs.opennash.com/companies/xiaomi/) · [Search jobs](/search/)

Xiaomi · 北京

# 顶尖应届-大模型高性能算子研发工程师-AI 基建

北京 

Listed on Xiaomi ’s official careers site. Posted July 30, 2026. Check that it is still open and apply there.
[Apply on Xiaomi ’s careers site →](https://xiaomi.jobs.f.mioffice.cn/toptalent/position/7646708294568954163/detail)

[OpenNash Jobs](https://jobs.opennash.com/) / [Xiaomi ](https://jobs.opennash.com/companies/xiaomi/) / 顶尖应届-大模型高性能算子研发工程师-AI 基建

## Job description

1、通过编译优化、模型并行优化、图融合、高性能算子开发、低精度计算、Memory复用、Cache优化、高并发服务请求优化等技术，打造业界领先的高性能训推引擎； 2、设计和开发高性能算子库，研究最新的GPU计算技术和优化方法，以充分利用GPU的并行计算能力，支持大模型推理优化和部署。

## Qualifications
- 硕士及以上学历，计算机、软件工程、数学等相关专业，具备扎实计算机理论基础和丰富编程经验，在深度学习领域有深入研究与实践；
- 精通 Python，熟练掌握至少一种深度学习框架（如 PyTorch），理解深度学习和transformer系列算法，有丰富模型开发与调优经验，能独立搭建复杂模型并优化性能；
- 熟悉主流的并行编程以及性能优化技术，熟悉CUDA和TensorCore编程，有相关高性能优化经验(nsys/ncu)优先； 熟悉flashattention，TransformerEngine, flashinfer等算子库， 有使用triton/tilelang等做高性能算子开发经验优先

## At a glance
- Posted by the employer: Jul 30, 2026
- First seen by OpenNash: Aug 1, 2026
- Last checked: Oct 19, 2026
- Listed for: 81 days
- Location: 北京[Apply on Xiaomi ’s careers site →](https://xiaomi.jobs.f.mioffice.cn/toptalent/position/7646708294568954163/detail)

## More jobs at Xiaomi 

### [27届招聘实习生-国际职能平台](https://jobs.opennash.com/companies/xiaomi/jobs/6d4d527313cd96474e53/)

北京

### [AI Agent 产品经理](https://jobs.opennash.com/companies/xiaomi/jobs/fc2f52865a7e2d84fbd7/)

北京

### [AI Agent 架构师 / Tech Lead](https://jobs.opennash.com/companies/xiaomi/jobs/35dcfe12c39db2a6a88a/)

北京

### [AI Agent产品经理](https://jobs.opennash.com/companies/xiaomi/jobs/1b2859d295836fa011a9/)

北京

### [AI Agent研究员实习生-小爱](https://jobs.opennash.com/companies/xiaomi/jobs/0c7ddc4025af5dc78885/)

北京

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)