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Open nowPosted 67 days ago

【27届校招】端到端道路静态算法工程师

qcraft/campus31 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now【27届校招】端到端道路静态算法工程师qcraft/campus · Beijing, Chinese Mainland

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

11.8% 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. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 67 days ago

The posting

1. 负责自动驾驶中道路静态相关算法的研究与开发，包括车道线、道路边界、中心线、拓扑结构等任务。 2. 设计和实现基于深度学习端到端的道路静态感知算法，结合多传感器、多模态融合，提升算法在复杂场景下的鲁棒性和准确性。 3. 优化算法的推理效率和精度，确保其满足实时性要求。 4. 在仿真环境和实车测试中验证算法性能，分析数据并持续优化模型。 5. 与感知、定位、规控等团队协作，推动道路静态算法在实际自动驾驶系统中的应用落地。 6. 撰写技术文档，参与技术评审，跟踪学术界和工业界的最新进展。

  • 计算机科学、电子工程、自动化、机器人、人工智能等相关专业硕士及以上学历。
  • 熟练掌握 Python、C++ 等编程语言，具备扎实的算法和数据结构基础。
  • 熟悉深度学习、计算机视觉、几何计算等技术，有 TensorFlow、PyTorch 等框架的实际项目经验。
  • 熟悉道路静态感知相关算法（如车道线、道路边界、中心线、拓扑结构等）。
  • 了解多传感器融合（摄像头、激光雷达等）技术，具备相关开发经验者优先。
  • 熟悉自动驾驶相关技术栈（如 ROS、Autoware 等）者优先。
  • 有自动驾驶、机器人、计算机视觉等相关领域的实际项目经验。
  • 具备端到端自动驾驶模型开发经验者优先。
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