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Open nowPosted 928 days ago

感知网络模型开发工程师

yesv-desaysv/index448 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now感知网络模型开发工程师yesv-desaysv/index · Shanghai, Chinese Mainland

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. yesv-desaysv/index postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 928 days ago

yesv-desaysv/index median: 1 days open

The posting

1. 负责研发高速和城市场景下的视觉感知算法研发，包括但不限于BEV车道线，FreeSpace等路面静态标识，Mono3D或BEV3D算法开发和量产落地； 2. 负责提升BEV车道线感知算法的在不同场景下的性能，包括但不限于大曲率弯的曲率优化、遮挡情况下车道线预测的稳定性等 ； 3. 负责提升障碍物感知算法的在不同场景下的性能，包括但不限于近距离位置和速度的准确度，远距离的召回率，朝向的稳定性等 ； 4. 可以针对测试团队反馈的问题，分别从模型和数据角度提出解决方法，并持续进行迭代。

1.有乘用车量产项目经验者，或长期相关行业从业经验者优先； 2.有主机厂（小鹏、 理想、 蔚来等）、乘用车供应商（华为、 Momenta、地平线、轻舟智航等 ）、L4 Robotaxi公司（小马智行、文远知行、元戎启行等）、商用车公司（图森未来、 智加科技、赢彻科技等）工作经历者优先； 3.熟悉当前主流的视觉动态障碍物感知算法与BEV车道线感知算法，了解不同模块或算法对最终性能的影响； 4.在顶级深度学习/机器学习/机器人学术会议（CVPR/ICCV/ECCV/ICML/NeurIPS/ICRA/IROS）或顶刊（TPAMI/IJCV/TIP）发表论文者优先。

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