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

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Tencent Holdings jobs](https://jobs.opennash.com/companies/tencent-holdings/) · [Search jobs](/search/)

Tencent Holdings · Beijing

# 异构加速框架工程师（深圳/北京/上海）

Beijing 

Listed on Tencent Holdings’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2036976620622999552)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 异构加速框架工程师（深圳/北京/上海）

## Job description

### Responsibilities
- 协同算法团队co-desgin，针对AI推理构建GPU/AI芯片底层性能优化与调优；
- 机器学习框架层架构创新，核心模块优化和扩展，提升计算效率与资源利用率；
- 深入分析GPU/AI芯片的硬件架构特性，设计并实现高性能算子、算法和特性使能组件；
- 探索前沿技术方向(如混合专家模型MOE、动态计算图编译优化等)。 Requirements
- 熟练掌握C/C++、Python编程语言，具备良好的coding和调试能力；
- 熟悉GPU/AI芯片编程，如CUDA，Triton，Ascend C等；
- 熟悉Cublas，Cutlass，CK等高性能算子开发工具；
- 熟悉Torch-Compile等AI编译模块者优先；
- 熟悉主流开源模型或推荐模型，有实际性能调优经验(如KV Cache优化、动态批处理、Attention算子定制等)；
- 扎实的高性能计算基础，熟悉并行计算、内存优化、通信优化等技术；

### 加分项
- ；
- AI数据、搜广推等场景架构和加速经验；
- 相关领域开源项目贡献、顶会论文等。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Jul 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 92 days
- Location: Beijing[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2036976620622999552)

## More jobs at Tencent Holdings

### [3D动作游戏《狩》-后台开发-UE5 DS后台开发](https://jobs.opennash.com/companies/tencent-holdings/jobs/6d535d770b7d94786b5e/)

Beijing

### [AI infra研发工程师(北京/深圳)](https://jobs.opennash.com/companies/tencent-holdings/jobs/eda44bea14836b2b9952/)

Beijing

### [AI ⽹络集合通信库运营⼯程师](https://jobs.opennash.com/companies/tencent-holdings/jobs/59f91606e7bdc470bf0b/)

Beijing

### [Aigc内容检测算法工程师（图像与视频方向）](https://jobs.opennash.com/companies/tencent-holdings/jobs/ca1cf721bb29a8df9bdf/)

Beijing

### [AI智能体评测高级工程师](https://jobs.opennash.com/companies/tencent-holdings/jobs/9312d7b2c30640f3f245/)

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/)
