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Open nowPosted 420 days ago

三维重建算法工程师

r3c0qt6yjw/neolix58 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now三维重建算法工程师r3c0qt6yjw/neolix · Beijing, 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.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 420 days ago

The posting

1. 负责自动驾驶场景下的多传感器（LiDAR、摄像头、IMU等）融合三维重建算法的研发与优化，构建高精度实时三维环境模型。 2. 研究与实现Structure from Motion（SfM）、深度估计（Depth Estimation）、SLAM（Simultaneous Localization and Mapping）等核心算法，提升重建精度与效率。 3. 开发基于点云、图像及多模态数据的几何建模与优化算法，解决动态物体剔除、场景语义分割等复杂问题。 4. 跟踪前沿技术（如神经渲染、隐式表达等），推动算法在自动驾驶场景的落地。

1. 硕士及以上学历，计算机科学、电子信息、自动化、应用数学等相关专业； 2. 精通C++/Python，熟悉Linux开发环境，具备扎实的算法实现与调优能力。 3. 熟悉三维重建核心算法（如SfM、SLAM、多视角立体视觉）及开源框架（如Open3D、PCL、Ceres、GTSAM）。 4. 掌握点云处理、图像处理、几何优化等技术，有实际项目经验。

加分项 ： 1. 有LiDAR、IMU等传感器数据融合经验，熟悉ROS系统开发。 2. 在CVPR、ICRA等顶会发表论文，或在Kaggle/ACM竞赛中获奖。 3. 熟悉深度学习框架（如PyTorch/TensorFlow），具备神经渲染或隐式场景建模经验。

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