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Tencent Holdings · Beijing

# 微信 -WeLM 大模型推理优化工程师（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=2020723060671414272)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 微信 -WeLM 大模型推理优化工程师（深圳、上海）

## Job description

### 模型推理服务优化
- * 负责大语言模型（LLM）推理性能的优化，包括延迟降低、吞吐量提升和资源效率优化 * 开发和应用模型压缩技术（包括但不限于量化、稀疏化等） * 优化推理框架，支持多种硬件平台（GPU、专用AI芯片） * 设计并实现高效、稳定、可扩展的推理服务架构

### 性能分析与调优
- * 建立性能基准测试框架，持续监控和评估推理性能 * 分析性能瓶颈，提出并实施优化方案 * 针对不同应用场景（实时对话、批量处理等）定制优化策略

### 技术创新与落地
- * 跟踪最新研究成果，将前沿优化技术应用到生产环境 * 与算法团队合作，参与模型架构的推理友好设计 * 编写高质量的技术文档和最佳实践指南 Requirements

### 必备条件
- ；
- 计算机、软件工程、人工智能等相关专业本科及以上学历；
- 扎实的 C++/Python 基础；
- 熟悉 PyTorch 或 JAX 等深度学习框架，了解模型训练与推理流程；
- 有 CUDA 编程或 GPU 性能调优经验，能使用 Nsight 等工具做 profiling；
- 了解常见 LLM 架构（如 Transformer、Attention、KV Cache）及推理优化思路；
- 具备良好的沟通与文档能力，能独立负责模块设计与实现。

## 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=2020723060671414272)

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