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Tencent Holdings · Beijing

# 大模型推理后台链路工程师（语音方向）（北京/深圳/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=2092937311057788928)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 大模型推理后台链路工程师（语音方向）（北京/深圳/上海）

## Job description

### 推理后台链路建设
- 负责语音大模型推理后台链路的整体设计与实现，覆盖接入层、调度层、推理层、流式返回、落盘与全链路监控；

### 流式语音服务架构
- 构建实时语音对话（语音进—语音出）的流式推理服务，优化首字延迟（TTFB）、端到端延迟与实时率（RTF），保障交互流畅性；

### 推理引擎与 GPU 优化
- 负责 GPU 推理引擎优化，包括算子优化、量化（INT8/FP8）、KV Cache 管理、投机解码、Continuous Batching、显存与吞吐优化，提升单卡推理效率与性价比；

### 分布式推理与弹性调度
- 建设多机多卡推理能力（张量并行 / 流水线并行）、多模型编排、弹性扩缩容、负载均衡与故障自愈机制；

### 稳定性与工程化
- 建设高可用架构、灰度发布、全链路监控告警、压测与容量规划，保障推理服务的稳定性与可观测性；

### 前沿技术落地
- 跟进语音大模型与推理框架的前沿进展，推动新技术在业务中的落地。 Requirements 1.本科及以上学历，计算机、软件工程、电子信息等相关专业； 2.2年以上后端 / 基础架构 / 在线服务开发经验，有大规模高并发在线服务建设经验； 3.精通 C++ / Go / Python至少一门语言，具备扎实的 Linux 系统、网络编程与并发编程功底； 4.熟悉主流深度学习推理框架（TensorRT、vLLM、Triton Inference Server、ONNX Runtime等至少一种），有实际推理服务优化落地经验； 5.熟悉CUDA 编程与 GPU 算子优化，理解显存、带宽、算子调度等底层机制； 6.熟悉分布式系统与容器化技术（Kubernetes、微服务治理、RPC 框架）。

## 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: Beijing[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2092937311057788928)

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