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Open nowPosted 88 days ago

Super Sparks-校招-座舱智能体评测和数据闭环算法研究员

nio/campus869 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowSuper Sparks-校招-座舱智能体评测和数据闭环算法研究员nio/campus · Beijing, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on nio/campus's own form.

The reply lands in your private mailbox

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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 88 days ago

nio/campus median: 1 days open

The posting

智能座舱正从传统语音助手向具备自主规划、跨域调度、长程执行能力的大模型智能体（如蔚来 NOMI）加速代际跃迁，已成为下一代汽车体验竞争的核心高地。但通用 Agent 评测体系完全无法适配车载场景的强约束特性：车控指令直接关联驾驶安全，存在刚性安全红线；交互高度依赖车辆状态、出行场景上下文，模糊省略式表达占比远高于通用场景；跨车控、导航、生活服务的复杂长任务，始终缺乏统一的量化评判标准。 当前行业体验优化高度依赖人工路测，迭代效率极低，且尚无公认的中文车载 Agent 评测基准，是制约座舱智能体落地的核心卡脖子问题。本课题直击产业真痛点，兼具前沿学术探索价值与工业落地意义，挑战与成长空间并存。

-博士及以上学历。 -深度深耕智能座舱高景气赛道，系统掌握大模型 Agent 推理规划、LLM 评测范式、数据飞轮构建等前沿技术栈，锻炼从指标设计到系统落地的全链路工程能力与科研思维。 -适合人工智能、计算机、车辆工程等相关专业学生参与，成果可支撑学术论文、开源项目等多元产出。

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