滴滴26届正式批-后端研发工程师 (推理引擎方向）-基础产品
校招全职工程-后端类地点：杭州 | 北京状态：招聘
任职要求
1、2026届毕业生，本科及以上学历，计算机科学、数学与应用数学、AI 等相关专业优先 2、有扎实的C++ 基础，熟悉常见计算机体系结构，具备并行计算编程能力，包括但不限于：CUDA/ HVX / NEON / OpenCL 等 3、熟悉常用框架 Pytorch、Tensorflow、 TFLite、NCNN、TensorRT、SNPE 等 4、熟悉大模型推理框架 Vllm、Sglang、Tensorrt-llm 等 4、在模型压缩、量化等方面有实操经验者优先，并能针对不同硬件架构提出加速方案 5、具有独立解决问题的能力，有良好的团队协作能力和沟通能力。
工作职责
1、深度参与引擎优化工作，包括算子、计算图、内存优化、编译优化、分布式训练等工作 2、深度参与各类异构计算平台 AI 工程与性能优化相关工作 3、深度参与大模型推理优化相关工作。
包括英文材料
学历+
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
CUDA+
https://developer.nvidia.com/blog/even-easier-introduction-cuda/
This post is a super simple introduction to CUDA, the popular parallel computing platform and programming model from NVIDIA.
https://www.youtube.com/watch?v=86FAWCzIe_4
Lean how to program with Nvidia CUDA and leverage GPUs for high-performance computing and deep learning.
OpenCL+
https://developer.nvidia.com/opencl
OpenCL™ (Open Computing Language) is a low-level API for heterogeneous computing that runs on CUDA-powered GPUs.
https://engineering.purdue.edu/~smidkiff/ece563/NVidiaGPUTeachingToolkit/Mod20OpenCL/3rd-Edition-AppendixA-intro-to-OpenCL.pdf
we will give a brief overview of OpenCL for CUDA programers.
[英文] Hands On OpenCL
https://handsonopencl.github.io/
An open source two-day lecture course for teaching and learning OpenCL
https://leonardoaraujosantos.gitbook.io/opencl/chapter1
Open Computing Language is a framework for writing programs that execute across heterogeneous platforms.
https://ulhpc-tutorials.readthedocs.io/en/latest/gpu/opencl/
OpenCL came as a standard for heterogeneous programming that enables a code to run in different platforms.
https://www.youtube.com/watch?v=4q9fPOI-x80
This presentation will show how to make use of the GPU from Java using OpenCL.
PyTorch+
https://datawhalechina.github.io/thorough-pytorch/
PyTorch是利用深度学习进行数据科学研究的重要工具，在灵活性、可读性和性能上都具备相当的优势，近年来已成为学术界实现深度学习算法最常用的框架。
https://www.youtube.com/watch?v=V_xro1bcAuA
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.
TensorFlow+
https://www.youtube.com/watch?v=tpCFfeUEGs8
Ready to learn the fundamentals of TensorFlow and deep learning with Python? Well, you’ve come to the right place.
https://www.youtube.com/watch?v=ZUKz4125WNI
This part continues right where part one left off so get that Google Colab window open and get ready to write plenty more TensorFlow code.
TensorRT+
https://docs.nvidia.com/deeplearning/tensorrt/latest/getting-started/quick-start-guide.html
This TensorRT Quick Start Guide is a starting point for developers who want to try out the TensorRT SDK; specifically, it demonstrates how to quickly construct an application to run inference on a TensorRT engine.
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
vLLM+
https://www.newline.co/@zaoyang/ultimate-guide-to-vllm--aad8b65d
vLLM is a framework designed to make large language models faster, more efficient, and better suited for production environments.
https://www.youtube.com/watch?v=Ju2FrqIrdx0
vLLM is a cutting-edge serving engine designed for large language models (LLMs), offering unparalleled performance and efficiency for AI-driven applications.
SGLang+
[英文] Install SGLang
https://docs.sglang.ai/get_started/install.html
SGLang is a fast serving framework for large language models and vision language models.
https://github.com/sgl-project/sgl-learning-materials
相关职位
校招工程-后端类
1、参与业务的架构设计、研发、演进和系统优化 2、参与技术难题攻关，重构系统，保障代码质量和系统的线上运行稳定性 3、参与部门架构设计及模块开发 ，与业务、产品、测试团队密切配合。
更新于 2025-08-18
校招工程-后端类
1、参与国际化业务的技术构建工作，为国际化体系提供有力的业务技术保障 2、参与国际化业务中台、增长中台的工程体系和数据体系建设，赋能业务团队、增长团队、运营团队，为业务快速迭代、用户增长运营提供基础架构设施和体系化解决方案 3、参与国际化稳定性建设，基于混沌工程理论，构建事前、事中、事后的稳定性体系，保障服务稳定性，为国际化体系保驾护航。
更新于 2025-08-18
校招工程-后端类
1、负责滴滴出行与商旅出行平台相关业务研发工作 2、负责相关产品功能模块的设计和开发，包括需求分析，详细设计，测试上线等项目过程。
更新于 2025-08-18
校招工程-后端类
1、参与国际化业务的技术构建工作，为国际化体系提供有力的业务技术保障 2、参与国际化业务中台、增长中台的工程体系和数据体系建设，赋能业务团队、增长团队、运营团队，为业务快速迭代、用户增长运营提供基础架构设施和体系化解决方案 3、参与国际化稳定性建设，基于混沌工程理论，构建事前、事中、事后的稳定性体系，保障服务稳定性，为国际化体系保驾护航。
更新于 2025-08-18