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Open nowPosted 131 days ago

影像算法工程师

kwh0jtf778/229043152 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now影像算法工程师kwh0jtf778/229043 · 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.

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. 57.8%60 days
This job: posted 131 days ago

The posting

1. 3A算法研发：负责相机系统 AWB（自动白平衡）、AE（自动曝光）、AF（自动对焦） 算法的工程开发、仿真搭建与深度优化。 2. ISP画质调校：负责不同传感器的 ISP Pipeline 调试，针对噪声、色彩、动态范围及清晰度进行联合调校。 3. 后处理算法开发：研发降噪、高动态（HDR）、超分辨率、去模糊、夜景增强等后处理算法。 4. 量产落地推进：配合硬件与芯片平台，完成算法在 移动端/车载端/嵌入式端 的移植、性能优化与量产落地。 5. 前沿技术探索：跟踪业界最新进展，将 深度学习（AI-ISP / 传统算法结合） 引入图像增强与画质提升方案中。

1. 教育背景：计算机、电子信息、信号处理、光学或自动化等相关专业，硕士及以上学历。 2. 编程基本功：精通 C/C++ 或 Python，具有良好的代码编写习惯，熟悉常用数据结构与算法。 3. 理论基础扎实：熟练掌握矩阵论、数字图像处理、计算机视觉等基础理论；了解传统 ISP 管道（如 Demosaic、Gamma、色彩空间转换）的基本原理。 4. 科研与项目：在校期间有图像增强、图像恢复（去噪/去模糊）、计算摄影、CV传统算法或深度学习相关课题研究或项目经验。 5. 综合素质：具备优秀的逻辑思维、自驱力与钻研精神，有良好的团队沟通与抗压能力，乐于攻克技术难题。 加分项 1. 熟练掌握 OpenCV / MATLAB 等工具，有图像质量客观分析（如 Imatest、色彩科学）相关实践者优先。 2. 熟悉 PyTorch / TensorFlow 等深度学习框架，有模型训练、优化或移动端部署（NPU/DSP）经验者优先。 3. 在 CVPR、ICCV、ECCV、SIGGRAPH、IEEE TIP 等顶级会议或期刊上发表过论文，或在知名图像/视觉类竞赛中获得优异成绩者优先。

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