字节跳动高性能计算研发工程师-Ads Infra
社招全职A182521地点：北京状态：招聘
任职要求
1、本科及以上学历，计算机、软件工程、人工智能等相关专业，具备扎实的计算机基础； 2、熟悉Linux操作系统和开发环境，熟练掌握C/C++/Python等一种或多种编程语言并深入了解语言特性，具备良好的数据结构、算法基础和系统设计能力； 3、拥有强烈的求知欲、优秀的学习和沟通能力； 4、熟悉至少一种机器学习框架（PyTorch/TensorFlow/PaddlePaddle或其他自研框架），熟练掌握分布式系统原理，参与过大规模分布式系统的设计、开发和维护。 加分项： 1、熟悉主流高性能并行编程技术，有GPU编程经验（CUDA或Triton）； 2、有TensorRT/Cutlass开发经验，熟悉TRT-LLM、VLLM等推理框架； 3、熟悉开源ML编译器代码（XLA/MLIR/TVM）并有相关开发经验； 4、熟悉PyTorch、FSDP、DeepSpeed、Megatron等业界主流分布框架的使用和原理。
工作职责
1、针对广告/推荐/搜索等场景，优化模型训练/推理的计算图执行效率； 2、通过编译优化、模型并行优化、图融合、高性能算子开发、低精度计算、Memory复用、Cache优化、高并发服务请求优化等技术，打造业界领先的高性能训推引擎； 3、设计和开发高性能算子库，研究最新的GPU计算技术和优化方法，以充分利用GPU/NPU的并行计算能力，支持各种机器学习和深度学习模型的构建和部署； 4、负责机器学习系统前瞻技术的调研和引入，例如最新硬件架构、异构计算系统、GPU优化技术、编译优化技术的引入和落地。
包括英文材料
学历+
Linux+
https://ryanstutorials.net/linuxtutorial/
Ok, so you want to learn how to use the Bash command line interface (terminal) on Unix/Linux.
https://ubuntu.com/tutorials/command-line-for-beginners
The Linux command line is a text interface to your computer.
https://www.youtube.com/watch?v=6WatcfENsOU
In this Linux crash course, you will learn the fundamental skills and tools you need to become a proficient Linux system administrator.
https://www.youtube.com/watch?v=v392lEyM29A
Never fear the command line again, make it fear you.
https://www.youtube.com/watch?v=ZtqBQ68cfJc
C+
https://www.freecodecamp.org/chinese/news/the-c-beginners-handbook/
本手册遵循二八定律。你将在 20% 的时间内学习 80% 的 C 编程语言。
https://www.youtube.com/watch?v=87SH2Cn0s9A
https://www.youtube.com/watch?v=KJgsSFOSQv0
This course will give you a full introduction into all of the core concepts in the C programming language.
https://www.youtube.com/watch?v=PaPN51Mm5qQ
In this complete C programming course, Dr. Charles Severance (aka Dr. Chuck) will help you understand computer architecture and low-level programming with the help of the classic C Programming language book written by Brian Kernighan and Dennis Ritchie.
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/
系统设计+
https://roadmap.sh/system-design
Everything you need to know about designing large scale systems.
https://www.youtube.com/watch?v=F2FmTdLtb_4
This complete system design tutorial covers scalability, reliability, data handling, and high-level architecture with clear explanations, real-world examples, and practical strategies.
机器学习+
https://www.youtube.com/watch?v=0oyDqO8PjIg
Learn about machine learning and AI with this comprehensive 11-hour course from @LunarTech_ai.
https://www.youtube.com/watch?v=i_LwzRVP7bg
Learn Machine Learning in a way that is accessible to absolute beginners.
https://www.youtube.com/watch?v=NWONeJKn6kc
Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.
https://www.youtube.com/watch?v=PcbuKRNtCUc
Learn about all the most important concepts and terms related to machine learning and AI.
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.
PaddlePaddle+
https://learnopencv.com/paddlepaddle/
PaddlePaddle (PArallel Distributed Deep LEarning) is an open-source deep learning framework released by Baidu in 2016.
https://www.paddlepaddle.org.cn/tutorials
本课程采用飞桨特色的「横纵式」 教学法，从易到难，学习难度逐层递进，并结合图形和案例进行讲解，力求让刚接触深度学习的读者可以快速理解。
分布式系统+
https://www.distributedsystemscourse.com/
The home page of a free online class in distributed systems.
https://www.youtube.com/watch?v=7VbL89mKK3M&list=PLOE1GTZ5ouRPbpTnrZ3Wqjamfwn_Q5Y9A
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.
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
DeepSpeed+
https://www.youtube.com/watch?v=pDGI668pNg0
Megatron+
https://www.youtube.com/watch?v=hc0u4avAkuM
相关职位
社招A92007
1、针对广告/推荐/搜索等场景，优化模型训练/推理的计算图执行效率； 2、通过编译优化、模型并行优化、图融合、高性能算子开发、低精度计算、Memory复用、Cache优化、高并发服务请求优化等技术，打造业界领先的高性能训推引擎； 3、设计和开发高性能算子库，研究最新的GPU计算技术和优化方法，以充分利用GPU/NPU的并行计算能力，支持各种机器学习和深度学习模型的构建和部署； 4、负责机器学习系统前瞻技术的调研和引入，例如最新硬件架构、异构计算系统、GPU优化技术、编译优化技术的引入和落地。
更新于 2025-04-02
社招A202598
1、为抖音集团广告算法模型的流式训练、批式训练、生成式训练提供数据支持（用户行为序列/用户行为表征/候选标的表征）； 2、针对广告业务全链路的数据需求，从数据全生命周期视角设计并实现高性能、高可用、低延迟的数据生产/加工/存储/消费为一体的通用解决方案； 3、参与探索内容理解能力、复杂前沿模型在广告业务中的应用与架构平台化，构建并优化商业化商品解决方案； 4、负责建设数据平台与架构，针对不同类型的数据制定研发标准和规范，支持各类数据的探查和发现，支持海量业务需求，保障业务的可持续迭代。
更新于 2025-04-02
社招1-5年系统开发
1. 开发多模态场景下的高性能推理计算平台，优化车载大模型业务训练与推理性能，助力业务落地； 2. 构建自研高性能引擎，跟踪前沿技术，打造领先的推理平台； 3. 基于 GPU/CPU 搭建推理系统，提升 AI 系统技术水平，加速多模态视觉及语言模型； 4. 负责音频、视频、文本多模态工程全周期开发，涵盖数据准备 / 处理加速、模型部署评估；
更新于 2025-03-20
社招智能媒体研发中心
1、负责推理加速算法的研发和实现，包括但不限于模型剪枝、模型量化、模型蒸馏、模型压缩等，负责深度学习模型的量化和蒸馏，实现高效的模型压缩和部署，提高模型的运行效率和推理速度。 2、负责LLM/多模态模型的端到端部署和流程优化，探索包括但不限于推理引擎的开发、模型优化和压缩、模型部署的端到端流程设计等。 3、负责设计和研发AI端到端任务编排体系，提升AI大模型在业务中的应用效率。 4、负责优化计算集群的资源调度和弹性计算策略，提升集群的资源利用率。 5、负责算法底层工程的链路设计和工程落地，提高服务的运行效率。
更新于 2025-03-10