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Open nowPosted 58 days ago

【FY27校招】智能驾驶规划算法工程师（交付方向）

neuehct/12847472 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now【FY27校招】智能驾驶规划算法工程师（交付方向）neuehct/128474 · Shanghai, Chinese Mainland

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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 58 days ago

The posting

1. 算法开发：负责结构化道路、城区道路及泊车场景下的决策规划算法开发，确保算法具备智能、舒适与安全的特点。 2. 模型迭代：参与端到端预测规划模型的开发与迭代，基于量产数据进行优化，应对复杂工况下的自动驾驶需求。 3. 系统优化：持续优化算法的实时性、计算效率、内存占用及鲁棒性，确保在量产嵌入式平台上的性能表现。 4. 评测搭建：参与搭建算法的评测方案与系统，负责算法的开发、测试与持续优化闭环。

1. 学历专业：硕士及以上学历，机器人、控制理论、自动化、计算机、人工智能、车辆工程等相关方向优先。 2. 理论基础：熟悉智能驾驶决策需求，了解交互决策与三维决策概念；熟悉常见轨迹规划方法（如基于采样、图搜索、数值优化等）。 3. 技术视野：具备深度学习、强化学习、数值优化、车辆运动学等理论基础；对端到端规划、多模态交互决策等技术概念有认知者优先。 4. 编程能力：熟练掌握C++/Python，具备良好的编程规范，有丰富的Linux环境下的开发和调试经验。 5. 数据思维：具备数据驱动思维，有较好的数据敏感度。 6. 业务理解：熟悉L2/L2+级各功能定义和ODD设计，具备较好的主观评价能力。 7. 加分项：有自动驾驶相关项目或竞赛经验并取得成果者优先；在ICRA、IROS、CoRL、NeurIPS等顶会发表过论文者优先。

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