字节跳动AI应用研发工程师-火山引擎
社招全职3年以上A177693地点:北京状态:招聘
任职要求
1、计算机科学、软件工程等相关专业本科及以上学历,3年以上Golang服务端开发经验,1年以上智能座舱或车载交互领域经验; 2、精通Golang语言特性,熟悉微服务架构、API设计规范、云原生技术,具备分布式系统设计能力,有大型微服务项目落地经验; 3、具备优秀的跨团队沟通能力,能与其他产品研发团队高效协作,推动复杂技术方案落地,具有较强的问题解决能力与逻辑分析能力,能快速定位服务端性能瓶颈并制定优化策略,具有良好的技术文档撰写能力,可独立输出架构设计文档、接口说明与开发规范; 4、主导过至少1个智能座舱相关服务端项目,涵盖需求分析、架构设计、联调上线全流程,具备从0到1落地经验优先;有AI大模型服务端集成经验,熟悉Prompt工程与模型轻量化部署者优先。
工作职责
1、深入分析用户需求与使用场景,设计自然流畅的交互逻辑,如多轮对话、情感识别及场景化服务; 2、以Golang/Rust为核心技术栈,设计大模型服务架构,涵盖感知规划调度等模块,支持高并发、低延迟的车载交互场景; 3、开发高性能API服务,支持多端单/双向通信调用,支撑富文本、音视频等载体信息下发;优化对应的Trace观测系统; 4、深度参与客户需求分析,通过场景化用例拆解,转化业务需求为服务端技术方案,实现用户数据隐私保护机制; 5、设计端云协同架构,实现端侧轻量化推理与云端复杂计算的协同,降低车载硬件资源消耗,针对车载场景网络特点,优化服务端通信协议。
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。
微服务+
https://learn.microsoft.com/en-us/training/modules/dotnet-microservices/
Microservice applications are composed of small, independently versioned, and scalable customer-focused services that communicate with each other by using standard protocols and well-defined interfaces.
https://microservices.io/
Microservices - also known as the microservice architecture - is an architectural style that structures an application as a collection of two or more services.
https://spring.io/microservices
Building small, self-contained, ready to run applications can bring great flexibility and added resilience to your code.
https://www.ibm.com/think/topics/microservices
Microservices, or microservices architecture, is a cloud-native architectural approach in which a single application is composed of many loosely coupled and independently deployable smaller components or services.
https://www.youtube.com/watch?v=CqCDOosvZIk
https://www.youtube.com/watch?v=hmkF77F9TLw
Learn about software system design and microservices.
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
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.
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
Prompt+
https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design
A prompt is a natural language request submitted to a language model to receive a response back.
https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/prompt-engineering
These techniques aren't recommended for reasoning models like gpt-5 and o-series models.
https://www.youtube.com/watch?v=LWiMwhDZ9as
Learn and master the fundamentals of Prompt Engineering and LLMs with this 5-HOUR Prompt Engineering Crash Course!
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