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Tencent Holdings · Shenzhen

# 混元多模态大模型推理加速工程师（深圳/北京/上海/杭州）

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=2007768439787249664)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 混元多模态大模型推理加速工程师（深圳/北京/上海/杭州）

## Job description

### Responsibilities
- 负责通用多模态大模型的推理部署，包括多模态理解、生成、语音大模型等研发支持，推动算法落地；
- 多模态大模型性能优化及推理框架优化，提升整体吞吐、降低部署成本；提升框架易用性；
- 紧跟多模态生成和理解领域的技术前沿，推动技术创新在产品中落地；
- 针对落地业务，优化部署方案及适配定制化需求。 Requirements
- 了解AI基础设施、机器学习系统或高性能计算相关领域经验， 具有 vllm/sglang/TensorRT/FasterTransformer 等推理引擎实践经验；
- 精通主流多模态或全模态大模型，主导或核心参与过多模态大模型项目优先；有行业落地案例或相关开源项目经验者优先；
- 熟悉主流深度学习框架的网络结构与算子底层实现细节，具备模型训练 / 推理调优、CPU/GPU 加速、分布式训练与推理部署的实操经验者优先；
- 熟悉分布式推理常用加速方法（算子融合、量化策略、动态批处理、KV 缓存优化等），有超大模型分布式部署经验优先；
- 在视觉问答、图像生成、视频理解/生成，语音识别/合成等领域有项目积累，或发表过相关方向顶级学术论文者优先；
- 具备较强的自主学习能力与技术钻研精神，良好的跨团队沟通协作能力。

## 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=2007768439787249664)

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