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Open nowPosted 153 days ago

汽车嵌入式软件实习生（AI 辅助研发方向）

kwh0jtf778/07318368 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now汽车嵌入式软件实习生（AI 辅助研发方向）kwh0jtf778/073183 · 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.

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 153 days ago

The posting

  • 参与构建基于 AI 的研发流程框架：探索将需求文档输入 AI，由 AI Agent 辅助完成代码生成、测试用例生成、自动化测试与结果分析的开发测试闭环，沉淀可复用的 Prompt、流程与工具链
  • 在导师指导下，参与 OEM 客户（长城、理想、长安等）诊断/通信需求规范的解读与梳理，运用 AI 工具辅助完成需求分解与初步分析
  • 协助整理 UDS 诊断需求（诊断服务、DID、RID、DTC 等），建立软件需求与追溯矩阵，提升需求的清晰度与可追溯性
  • 配合团队完成 ECU 系统/软件相关的技术调研与资料归纳（诊断协议、车载网络、AUTOSAR 等）
  • 在读硕士研究生，车辆工程、电子信息、自动化、测控、通信、信息安全等相关专业优先
  • 有 AI 编程助手 / AI Agent（如 Claude Code、Cursor、GitHub Copilot 等）的实际使用经验，能用结构化 Prompt 驱动 AI 完成工程任务；有搭建 AI 自动化工作流经验者优先
  • 对汽车电子与嵌入式软件有基本了解或强烈学习意愿，愿意学习诊断（UDS/ISO 14229、OBD）、车载网络（CAN/车载以太网）、汽车信息安全等方向
  • 具备良好的逻辑思维与技术文档表达能力
  • 实习期稳定，每周可保证 5 天出勤，3 个月起

加分项（非必需） * 有嵌入式/单片机/C 语言项目经验，或参加过智能车竞赛、电子设计竞赛 * 了解 AUTOSAR 架构，或接触过 CANoe、CANalyzer 等车载工具链 * 有自己折腾过 AI 工作流/脚本自动化/提效工具的实践（个人项目即可）

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