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

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Kuaishou Technology jobs](https://jobs.opennash.com/companies/kuaishou-technology/) · [Search jobs](/search/)

Kuaishou Technology · Beijing

# 模型推理优化专家

Beijing 

Listed on Kuaishou Technology’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/19616)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 模型推理优化专家

## Job description
- 参与快手大规模深度学习推理框架的研发与优化，保障在线系统的高可用/高并发，为快手搜索数亿用户提供高效稳定的算力输出；
- 负责快手搜索模型推理优化工作，优化模型推理性能，高吞吐低延时支撑模型推理服务；
- 支持大模型在搜索场景落地的相关模型优化，包括不局限于AI检索，Query改写等。
- 熟悉Linux开发环境，良好的系统编程、数据结构、算法基础、系统设计能力；掌握C++/Python编程语言；
- 熟悉tensorflow、pytorch、TensorRT， Faster Transformer等主流训练和推理框架，并有相关优化经验者优先；
- 熟悉编译优化技术及相关框架，如MLIR、TVM、XLA；有显存优化、算子融合、图优化等实操经验；
- 熟悉CUDA编程，具备较好开发能力，熟悉triton、cutlass、有算子库开发经验者优先；
- 有搜推广模型系统优化经验者优先；
- 具有良好的团队合作精神和沟通能力，能够对算法和底层的协同优化起到核心桥梁作用。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: Under a day
- Location: Beijing[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/19616)

## More jobs at Kuaishou Technology

### [(大模型专项）多模态大模型算法工程师](https://jobs.opennash.com/companies/kuaishou-technology/jobs/98edf462c05648daadcf/)

Beijing

### [AI Agent 开发实习生（电商在线推荐引擎）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/5945a85b9a833fcbb5f8/)

Beijing

### [AI Agent 策略实习生](https://jobs.opennash.com/companies/kuaishou-technology/jobs/b814e14328b750da25f6/)

Beijing

### [AI Agent算法专家](https://jobs.opennash.com/companies/kuaishou-technology/jobs/0e36be4e740de43e02ad/)

Beijing

### [AI Agent算法专家（智能创作方向）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/41a78c4c892cbbd1bc50/)

Beijing

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/)