[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

# 腾讯云-MaaS平台近线/离线推理研发专家

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=2099332927883231232)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 腾讯云-MaaS平台近线/离线推理研发专家

## Job description

### 负责离线推理（Batch Inference）平台架构
- 任务调度、断点续跑、优先级队列、弹性伸缩；

### 负责推理吞吐与成本优化
- PD分离架构、推理引擎（vLLM/SGLang/TensorRT-LLM 等）选型与调优、量化策略落地；
- 负责离线与在线推理的资源复用与错峰调度，持续提升整体GPU利用率；
- 建设离线推理的SLA体系与成本核算模型，支撑Token单价竞争力；
- 对接数据合成、模型评测、蒸馏等大规模离线Token消耗场景，形成业务闭环。 Requirements 1.本科及以上学历，计算机相关专业，2年以上相关工作经验； 2.3年以上系统或推理基础设施经验，有大规模分布式系统或LLM推理优化的生产实践； 3.深入理解主流推理引擎架构，有量化、调度或serving性能调优的实际落地案例； 4.有从 0 到 1 搭建近线/离线推理或批处理平台经验者优先； 5.较好的主动性和责任心。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 12, 2026
- Last checked: Oct 19, 2026
- Listed for: 7 days
- Location: Shenzhen[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2099332927883231232)

## 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/)
