快手高性能GPU调度推理研发工程师-【可灵AI专项】
社招全职3-5年J0011地点:北京状态:招聘
工作描述
任职要求 1、本科及以上学历,计算机相关专业优先; 2、计算机和编程基础扎实,熟练掌握Java或Python,有服务端系统的开发经验; 3、有较强的工作责任心和自驱力,较好的学习能力和沟通能力,良好的工作文档习惯; 4、熟悉大模型推理或训练框架(如vLLM、SGLang、PyTorch等); 5、了解 Docker/Containerd 等容器运…
登录查看完整工作描述
微信扫码,1秒登录
包括英文材料
学历+
Java+
https://www.youtube.com/watch?v=eIrMbAQSU34
Master Java – a must-have language for software development, Android apps, and more! ☕️ This beginner-friendly course takes you from basics to real coding skills.
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.
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.
还有更多 •••
相关职位
实习阿里巴巴2027
1.计算机科学、微电子、集成电路设计等相关专业,海内外顶尖高校博士应届毕业生; 2.在计算机体系结构领域的顶级国际会议以第一作者身份发表过高质量学术论文,在执行子系统微架构方向有深厚理论功底; 3.对
更新于 2026-03-26北京|杭州|上海
社招8年以上软件
1. 8年以上高性能开发相关工作经验,2年以上团队管理经验 具备较好的并行计算基础,熟悉ARM/X86等指令集,有丰富的异构计算开发经验 2. 有高性能计算框架的架构设计经验,能够跳出单点问题并从完整
更新于 2026-06-12北京
社招3年以上TEG技术
1.计算机/网络通信/软件工程或相关专业,硕士及以上学历,3年以上网络通信相关工作经验; 2.精通C++/CUDA编程,熟悉Python开发; 3.具备分布式训练/推理的实践经验,理解数据并行、模
更新于 2026-06-24深圳