vivo防抖控制系统专家
社招全职5年以上研发类地点：杭州 | 深圳状态：招聘
任职要求
1. 研究生及以上学历，计算机科学、自动化、电子工程、数学、物理等相关专业； 2. 5 年以上相关领域工作经验，有手持云台、无人机、机器人等运动控制算法开发经验者优先； 3. 熟悉控制理论（如 PID 控制、卡尔曼滤波、状态估计等）、传感器融合算法（如互补滤波、扩展卡尔曼滤波等）； 4. 熟悉嵌入式系统开发，具备 C/C++、Python 等编程能力，熟练使用 MATLAB、Simulink 等仿真工具，有图像处理、计算机视觉、目标跟踪等相关经验者优先，熟悉常见深度学习框架（如 TensorFlow、PyTorch）者优先； 5. 有手持云台、无人机、机器人等相关产品的实际开发，有实际产品落地经验，熟悉从算法设计到产品化的全流程； 6. 具备良好的沟通能力和团队协作精神，较强的学习能力和解决问题的能力。
工作职责
1. 算法开发：负责防抖/跟踪等控制算法开发，实现高精度、低延迟的相机姿态控制，提升拍照和视频拍摄的稳定性； 2. 算法优化与部署：优化算法性能，确保在嵌入式设备上的高效、稳定运行； 3. 技术研究与创新：跟踪行业最新技术动态，探索前沿算法在防抖中的应用，满足用户需求。
包括英文材料
学历+
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
C+
https://www.freecodecamp.org/chinese/news/the-c-beginners-handbook/
本手册遵循二八定律。你将在 20% 的时间内学习 80% 的 C 编程语言。
https://www.youtube.com/watch?v=87SH2Cn0s9A
https://www.youtube.com/watch?v=KJgsSFOSQv0
This course will give you a full introduction into all of the core concepts in the C programming language.
https://www.youtube.com/watch?v=PaPN51Mm5qQ
In this complete C programming course, Dr. Charles Severance (aka Dr. Chuck) will help you understand computer architecture and low-level programming with the help of the classic C Programming language book written by Brian Kernighan and Dennis Ritchie.
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文，免费，零起点，完整示例，基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
MATLAB+
https://matlabacademy.mathworks.com/?page=1&sort=featured
Learn MATLAB and Simulink through interactive, in-product exercises
https://www.mathworks.com/help/matlab/getting-started-with-matlab.html
Millions of engineers and scientists worldwide use MATLAB® to analyze and design the systems and products transforming our world.
https://www.youtube.com/watch?v=7f50sQYjNRA
Learn the fundametnals of MATLAB in this tutorial for engineers, scientists, and students.
Simulink+
https://www.mathworks.com/help/simulink/getting-started-with-simulink.html
Simulink® is a block diagram environment for multidomain simulation and Model-Based Design.
图像处理+
https://opencv.org/blog/computer-vision-and-image-processing/
This fascinating journey involves two key fields: Computer Vision and Image Processing.
https://www.geeksforgeeks.org/python/image-processing-in-python/
Image processing involves analyzing and modifying digital images using computer algorithms.
https://www.youtube.com/watch?v=kSqxn6zGE0c
In this Introduction to Image Processing with Python, kaggle grandmaster Rob Mulla shows how to work with image data in python!
OpenCV+
https://learnopencv.com/getting-started-with-opencv/
At LearnOpenCV we are on a mission to educate the global workforce in computer vision and AI.
https://opencv.org/university/free-opencv-course/
This free OpenCV course will teach you how to manipulate images and videos, and detect objects and faces, among other exciting topics in just about 3 hours.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
TensorFlow+
https://www.youtube.com/watch?v=tpCFfeUEGs8
Ready to learn the fundamentals of TensorFlow and deep learning with Python? Well, you’ve come to the right place.
https://www.youtube.com/watch?v=ZUKz4125WNI
This part continues right where part one left off so get that Google Colab window open and get ready to write plenty more TensorFlow code.
PyTorch+
https://datawhalechina.github.io/thorough-pytorch/
PyTorch是利用深度学习进行数据科学研究的重要工具，在灵活性、可读性和性能上都具备相当的优势，近年来已成为学术界实现深度学习算法最常用的框架。
https://www.youtube.com/watch?v=V_xro1bcAuA
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.
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1. 算法开发：负责防抖/跟踪等控制算法开发，实现高精度、低延迟的相机姿态控制，提升拍照和视频拍摄的稳定性； 2. 算法优化与部署：优化算法性能，确保在嵌入式设备上的高效、稳定运行； 3. 技术研究与创新：跟踪行业最新技术动态，探索前沿算法在防抖中的应用，满足用户需求。
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