[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 · Shenzhen

# 元宝-LLM大模型推理工程师

Shenzhen 

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=2055195929673383936)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 元宝-LLM大模型推理工程师

## Job description

### Responsibilities
- 负责开发和优化大模型推理框架；
- 主要通过GPU、CUDA性能优化的手段，结合线上实际情况，优化高性能LLM推理引擎；
- 负责大模型训练和推理前瞻性技术架构的调研和引入，技术方案不限于子图匹配、编译优化、模型量化等。 Requirements
- 本科及以上学历，计算机/电子/自动化/软件等相关专业，有AI工程优化经验的优先；
- 熟练GPU的高性能计算优化技术，深入理解计算机体系结构，熟悉并行计算优化、访存优化，低比特计算等；
- 具备丰富的基于CUDA的GPU性能优化经验；
- 了解深度学习算法基本原理，熟悉神经网络基本架构和各算子计算方式，了解至少一种深度学习训练框架及其模型文件的解析，如PyTorch、TensorFlow；
- 熟悉TensorRT-LLM、vLLM等，了解主流LLM模型，有LLM模型加速优化经验者优先。

## 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: Shenzhen[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2055195929673383936)

## More jobs at Tencent Holdings

### [#QQ游戏中心-发行运营#](https://jobs.opennash.com/companies/tencent-holdings/jobs/9d1cfc780fbcdb0a0a4a/)

Shenzhen

### [3D 动作游戏《狩》美术项目经理（APM）](https://jobs.opennash.com/companies/tencent-holdings/jobs/74fb431b49d65f1be30c/)

Shenzhen

### [3D动作游戏《狩》-文案策划-角色方向](https://jobs.opennash.com/companies/tencent-holdings/jobs/aefb8e04d3a158528ea5/)

Shenzhen

### [3D动作游戏《狩》-游戏运营-PC渠道运营](https://jobs.opennash.com/companies/tencent-holdings/jobs/bd0613468de8267b860a/)

Shenzhen

### [3D动作游戏《狩》-游戏运营-内容生态运营](https://jobs.opennash.com/companies/tencent-holdings/jobs/a1394d4df104126e0aac/)

Shenzhen

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/)
