
商汤大模型推理系统研发实习生
实习兼职后端开发地点:北京状态:招聘
工作描述
任职要求 职位要求 计算机、软件工程、人工智能、电子工程、数学等相关专业在校学生,每周可到岗 4 天及以上,实习时长不少于 4 个月。 熟练掌握 C++ 或 Python 中至少一门,具备扎实的操作系统、计算机体系结构、数据结构与算法基础。 理解 Transformer 的主要计算过程,以及 LLM 推理 Prefill / Decode 两阶段的计算、访存与 KV Cache 特性;使用过 vLLM、SGLang、TensorRT-LLM 中至少一个推理框架。 在以下至少一个方向有深入学习或实践:投机解码、分布式 KV Cache / 存储、分布式推理与调度、GPU 算子优化、高性能通信。能够结合源码、实验或项目,讲清楚核心机制、性能瓶颈与设计取舍。 具备独立定位问题和验证假设的能力,能够通过日志、Profiler 或对照实验分析性能问题,并清晰说明优化结果及其适用条件。 加分项 实现或优化过 MTP、EAGLE 等投机解码方案,分析过接受率、验证开销与端到端加速之间的关系。 参与过 KV Cache 管理、前缀缓存、多级缓存或分布式存储项目,理解缓存命中、数据传输与计算节省之间的权衡。 写过 CUDA / T…
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包括英文材料
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
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
数据结构+
https://www.youtube.com/watch?v=8hly31xKli0
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science.
https://www.youtube.com/watch?v=B31LgI4Y4DQ
Learn about data structures in this comprehensive course. We will be implementing these data structures in C or C++.
https://www.youtube.com/watch?v=CBYHwZcbD-s
Data Structures and Algorithms full course tutorial java
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
Transformer+
https://huggingface.co/learn/llm-course/en/chapter1/4
Breaking down how Large Language Models work, visualizing how data flows through.
https://poloclub.github.io/transformer-explainer/
An interactive visualization tool showing you how transformer models work in large language models (LLM) like GPT.
https://www.youtube.com/watch?v=wjZofJX0v4M
Breaking down how Large Language Models work, visualizing how data flows through.
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
缓存+
https://hackernoon.com/the-system-design-cheat-sheet-cache
The cache is a layer that stores a subset of data, typically the most frequently accessed or essential information, in a location quicker to access than its primary storage location.
https://www.youtube.com/watch?v=bP4BeUjNkXc
Caching strategies, Distributed Caching, Eviction Policies, Write-Through Cache and Least Recently Used (LRU) cache are all important terms when it comes to designing an efficient system with a caching layer.
https://www.youtube.com/watch?v=dGAgxozNWFE
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.
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