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Open nowPosted 71 days ago

校招-整车属性智能化开发工程师（CAE方向）

nio/campus867 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now校招-整车属性智能化开发工程师（CAE方向）nio/campus · Shanghai, 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.

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The clock on this job

Early applications get read.

11.5% 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. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 71 days ago

nio/campus median: 1 days open

The posting

1. 自动化仿真与分析工具开发 使用 Python等语言构建工程仿真的自动化分析工具 实现仿真前处理、参数扫描、结果提取与分析的自动化 支持结构、NVH、碰撞、耐久等工程场景 2. 工程属性开发流程提效 利用机器学习方法提升工程属性开发效率 参与设计空间探索、参数敏感性分析、快速响应模型（ROM）开发 支持工程经验的模型化与复用 3. 多学科设计优化（MDO）与智能优化探索 参与或负责基于 ML 的 MDO 方法研究与工程验证 探索代理模型、智能搜索、AI Agent 在工程优化中的应用 支持复杂工程问题的多目标、多约束优化 4. AI Agent 在工程研发中的探索性应用 参与工程类 AI Agent 的设计与实现 探索 Agent 在仿真调度、结果分析、方案生成等场景中的应用 5. 技术沉淀与学习成长 形成可复用的工具、脚本和方法文档 持续学习工程 AI、仿真自动化与智能优化相关技术

1. 专业适配：优先机械工程、材料科学与工程、自动化、工程力学等相关工学专业，具备相关专业基础，硕博优先； 2. 科研与技术能力：有机器学习/AI相关课题研究经历，能理解算法原理并关注工程落地；熟练使用Python编程，熟悉科学计算与ML相关库，有良好代码习惯； 3. 工程基础：熟悉工程建模、数值仿真或实验数据分析中至少一个方向，理解工程数据的物理意义； 4. 加分项（非必需）：有CAE仿真、工程软件二次开发、MDO/代理模型相关经验，或跨学科研究经历、高水平论文/专利者优先； 5. 个人潜质：对工程+AI+自动化领域有兴趣，善于将理论转化为实际成果，愿意深耕工程智能领域，具备自驱力与问题拆解能力。

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