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Open nowPosted 73 days ago

校招-车载语音助手服务开发工程师

nio/campus869 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now校招-车载语音助手服务开发工程师nio/campus · Shanghai, Chinese Mainland
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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. nio/campus postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 73 days ago

nio/campus median: 1 days open

The posting

1. 参与智能座舱语音交互系统底层架构的设计与开发,协助保障语音助手在车机端的高效、稳定运行。 2. 协助进行语音唤醒(KWS)、语音识别(ASR)、自然语言理解(NLU)、对话管理(DM)等核心模块的开发、集成与效果调优。 3. 参与车载语音业务SDK的封装与输出,协助为上层应用提供标准化的语音基础能力接口。 4. 协助进行端云链路协同架构的开发与优化,参与音频上下行通道的打通及全链路调试工作。 5. 参与下一代智能语音方案(如大模型端侧部署、多模态交互)的技术预研,协助完成相关功能的工程落地与测试。

1. 2027届本科或硕士研究生,计算机、电子工程、自动化、人工智能等相关专业,具备扎实的计算机基础与数据结构功底。 2. 掌握C/C++或Python/Java等至少一种主流编程语言,具备良好的编程习惯与逻辑思维能力。 3. 对自然语言交互系统有基本认知,了解ASR、TTS、NLU等语音技术或NLP基本原理,对车载语音开发有浓厚兴趣。 4. 了解Android/Linux等操作系统的基本机制,有嵌入式开发或音频框架相关课程项目经验者优先。 5. 具备良好的英文文档阅读能力,能够查阅相关技术文献,有较强的自我驱动力和快速学习能力。 6. 具备良好的沟通表达能力与团队协作精神,责任心强,能高效配合团队推进项目进度。 加分项 1. 在校期间有车载语音对话系统、智能座舱交互或大语言模型(LLM)相关课题/项目经验者优先。 2. 熟悉RAG、Agent架构,或有将前沿AI技术落地于实际场景的实践经历者优先。 3. 在语音交互、NLP或嵌入式系统领域有相关技术专利、顶会论文或开源项目贡献者优先。 4. 有相关领域国家级/省部级竞赛获奖经历者优先。

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