AI 开发工程师-大模型/端侧推理
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Description and Requirements
岗位职责
- 负责 LLM、多模态模型的工程落地，完成模型转换、部署、推理链路开发与性能调优；
- 深入理解 Transformer 等主流模型结构，剖析 Prefill/Decode 推理流程，针对 KV Cache、注意力机制、采样策略开展优化；
- 使用 PyTorch、ONNX Runtime、llama.cpp 等框架完成模型封装、量化、算子调试，解决内存占用、推理时延、吞吐瓶颈；
- 搭建模型评测基准，对比不同硬件、推理引擎下模型表现，输出优化方案；
- 协同算法、客户端、内核团队推进 AI 功能集成，支撑端侧 / 本地 AI 推理方案落地；
- 跟踪前沿模型架构、推理加速技术，沉淀工程化工具链。
岗位要求
- 本科及以上，计算机、人工智能、电子信息相关专业；
- 深入理解 Transformer 基础架构，熟悉大模型前向推理完整流程，掌握 Prefill、Decode 阶段运行原理，了解 KV Cache、上下文管理、Token 生成机制；
- 熟悉模型结构、推理方式；熟悉主流模型推理范式，了解 INT4/INT8 量化、模型压缩、计算图优化等加速手段；
- 熟练 Python，具备 C/C++ 开发能力优先；熟悉 PyTorch、ONNX、GGUF 模型格式；
- 有 llama.cpp、ONNX Runtime、TensorRT、vLLM 任一推理框架实战经验；
- 具备端侧 / 本地部署经验，了解 CPU/XPU/NPU 异构推理调度优先；
- 良好问题排查能力，能够定位推理精度异常、性能瓶颈；具备优秀跨团队协同意识。