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Open nowPosted 72 days ago

校招-视觉算法工程师

nio/campus869 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now校招-视觉算法工程师nio/campus · Shanghai, Chinese Mainland
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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. 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. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 72 days ago

nio/campus median: 1 days open

The posting

工作职责: 1. 算法研发与优化 参与计算机视觉算法的设计、实现与迭代,方向包括但不限于:目标检测(YOLO系列)、多目标追踪(DeepSORT/REID)、图像分类、语义分割、场景理解 在导师指导下完成算法模块的开发、测试与性能评估,撰写技术文档 2. 算法系统工程化 参与视觉算法系统设计,理解传感器、推理硬件、软件、云端协同的完整链路 协助完成算法在边缘计算设备上的部署、推理优化与性能调优 配合软件团队完成数据采集适配、算法驱动集成与联调 3. 算法维护与运营支撑 监控已上线算法的运行状态,分析性能劣化原因并推动优化 响应运营侧算法异常与缺陷,进行问题定位、记录与修复 参与数据采集方案的制定与标注规范的迭代 4. 跨团队协作 在项目各阶段与机械、电气、软件、云、产品、运营、测试等团队协同 参与需求评审、方案设计评审、算法验收等关键节点,确保信息传递准确

1. 计算机科学、人工智能、自动化、电子信息、数学等相关专业,硕士及以上学历 2. 理论基础:扎实的计算机视觉与图像处理基础,熟悉经典算法(特征提取、图像匹配、相机几何等);扎实的机器学习/深度学习基础,理解 CNN、Transformer 等主流架构 3. 工程能力:熟练使用 Python,熟悉 PyTorch 等深度学习框架;具备良好的代码规范意识和版本管理(Git)使用习惯 4. 实践经验:有至少一个完整的视觉算法项目经验,包括模型训练、评估与结果分析 5. 加分项: 有目标检测、多目标追踪、ReID、行为识别等方向的研究或实习经验 有边缘端模型部署经验(TensorRT、ONNX、OpenVINO 等) 熟悉多相机系统、相机标定(张正友标定法)、多传感器融合 有工业视觉、安防视觉或机器人视觉相关项目背景 在国际会议/期刊(CVPR、ICCV、ECCV、NeurIPS 等)发表过论文 具备C++开发能力,有嵌入式Linux开发经验

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