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Open nowPosted 213 days ago

实习-端到端大模型算法实习生-低速功能方向（上海）

nio/campus867 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now实习-端到端大模型算法实习生-低速功能方向（上海）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.

The reply lands in your private mailbox

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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. 2.1%1 day
  2. 4.4%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 213 days ago

nio/campus median: 1 days open

The posting

负责自动泊车（APA）、点到点（P2P）等低速场景下的规划算法开发与迭代优化。 持续提升端到端规划方法在复杂低速场景下的规划性能与鲁棒性。 负责低速功能状态机的维护与新需求开发。 参与实车测试与数据分析，定位规划模块问题并推动算法落地迭代。

硕士及以上学历，计算机、自动化、车辆工程等相关专业。 熟练掌握 C++/Python，具备良好的代码能力，熟悉 Linux 及 ROS/ROS2 开发环境。 熟悉常用规划算法（如 Hybrid A*、Lattice Planner）及控制算法（如 LQR、MPC）。 熟悉端到端规划相关方法，有学习或项目实践经验者优先。 具备良好的逻辑思维和问题分析能力，有量产项目或实车调试经验者优先。

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