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# 【基座大模型北斗实习】高性能计算与大模型系统优化

北京市 +1 more 

Listed on Meituan ’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Meituan ’s careers site →](https://zhaopin.meituan.com/web/position/detail?highlightType=campus&jobUnionId=4348841233)

[OpenNash Jobs](https://jobs.opennash.com/) / [Meituan ](https://jobs.opennash.com/companies/meituan/) / 【基座大模型北斗实习】高性能计算与大模型系统优化

## Job description

### 简介

参与面向大模型训练/推理的高性能计算与系统优化工作，可根据个人背景和研究兴趣选择以下方向之一深入推进：
- 面向GPU/NPU 等多硬件平台的算子开发与极致性能优化(CUDA/Cutlass/TileLang)。
- 跟踪前沿模型算法并完成高性能工程落地，深入框架层开展算子融合、内存/通信优化、流水编排等系统级性能调优。
- 探索基于大模型的高性能 Kernel 自动合成技术，参考 LLM-driven Kernel Generation 范式，研究高效 GPU/NPU Kernel 的端到端自动生成与迭代优化方法。
- 基于DSL（如 Triton、TVM TIR、Halide 等）的编译优化与自动调优技术研究。
- 多硬件后端（NVIDIA/国产芯片）的统一算子库建设与迁移适配。
- GPU编程:写过CUDA kernel，理解warp/SM/显存层次结构；
- 训练框架:用过或改过Megatron/DeepSpeed/FSDP，不只是跑过demo；
- 通信系统:了解NCCL原理，或有网络协议栈/RDMA相关经验；

### 编译优化
- 接触过 XLA/TorchInductor/TVM 等编译器，或做过IR优化；

### 顶会论文
- MLSys/OSDI/SOSP/ATC/ISCA 等系统顶会在手。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: Under a day
- Location: 北京市 +1 more[Apply on Meituan ’s careers site →](https://zhaopin.meituan.com/web/position/detail?highlightType=campus&jobUnionId=4348841233)

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