贝壳AI Infra开发工程师【2026届春招】(J70238)
校招全职研发类地点:北京状态:招聘
任职要求
1、硕士及以上学历,毕业时间:2025年9月-2026年8月,计算机、软件工程、人工智能、云计算或相关专业; 2、熟练掌握Go语言,具备清晰的代码结构、良好的编码习惯和严谨的逻辑思维; 3、熟悉常见的推理框架(如SGLang、Vllm),深入了解模型训练全流程,掌握常见的强化学习(RL)及模型微调框架; 4、熟练掌握Docker、Kubernetes等云原生技术,具备云原生环境下的开发与部署能力; 5、熟悉Linux环境开发与调试,具备基础的日志分析、异常排查及问题定位能力; 6、有在云厂商(如阿里云、腾讯云、华为云等)或AI平台相关项目的实习经历,熟悉其技术生态者优先; 7、具备良好的学习能力、沟通协作意识和强烈的责任心,有较强的团队融入能力和快速成…
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工作职责
1、负责公司模型基础设施的设计、开发、建设与落地,支撑各类AI模型的高效运行; 2、负责公司Agent Infra的搭建与迭代,优化Agent相关基础设施的性能与可用性,保障Agent生态稳定运行; 3、时刻关注模型基础设施、Agent Infra及相关系统的运行状态,参与平台值班,快速响应并处理各类运行异常,保障整体系统稳定可靠; 4、协助诊断线上系统故障,开展故障排查、性能优化工作,持续提升模型基础设施、Agent Infra的稳定性、响应效率与可扩展性; 5、参与AI Infra相关基础技术预研、工具验证,支撑团队技术选型,助力后续基础设施的迭代升级与技术创新。
包括英文材料
学历+
Go+
https://www.youtube.com/watch?v=8uiZC0l4Ajw
学习Golang的完整教程!从开始到结束不到一个小时,包括如何在Go中构建API的完整演示。没有多余的内容,只有你需要知道的知识。
编程规范+
[英文] Google Style Guides
https://google.github.io/styleguide/
Every major open-source project has its own style guide: a set of conventions (sometimes arbitrary) about how to write code for that project. It is much easier to understand a large codebase when all the code in it is in a consistent style.
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
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.
强化学习+
https://cloud.google.com/discover/what-is-reinforcement-learning?hl=en
Reinforcement learning (RL) is a type of machine learning where an "agent" learns optimal behavior through interaction with its environment.
https://huggingface.co/learn/deep-rl-course/unit0/introduction
This course will teach you about Deep Reinforcement Learning from beginner to expert. It’s completely free and open-source!
https://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning
Build your own video game bots, using classic and cutting-edge algorithms.
Docker+
https://www.youtube.com/watch?v=GFgJkfScVNU
Master Docker in one course; learn about images and containers on Docker Hub, running multiple containers with Docker Compose, automating workflows with Docker Compose Watch, and much more. 🐳
https://www.youtube.com/watch?v=kTp5xUtcalw
Learn how to use Docker and Kubernetes in this complete hand-on course for beginners.
还有更多 •••