哈啰定位算法工程师
社招全职技术地点：上海状态：招聘
任职要求
1.本科及以上学历，专业方向包括计算机、软件、自动化、汽车、模式识别、机械、电子等理工科，工作经验不小于1年； 2.精通摄像头、激光雷达、毫米波雷达、IMU等常见自驾传感器的原理及特点，熟悉车辆运动学和动力学； 3.熟悉GNSS组合惯性导航的原理，有相关产品的使用经验； 4.熟悉Li SLAM/viSLAM/SFM/Multiview Stereo基本原理，熟悉车辆运动学与动力学； 5.熟悉常用非线性优化算法，如Gauss-Newton/LM/Dogleg/PCG等； 6.熟悉C++/Python/CUDA/OpenCL/OpenGL/Eigen/OpenCV开发，有Linux/ROS开发经验，代码风格良好。 7.加分项：有人工智能模型开发设计经验，对数据驱动的定位算法比较熟悉； 8.踏实靠谱，积极肯干，具备良好的团队内及跨团队沟通能力。
工作职责
1. 定位设备的功能定义、选型与标定； 2. GNSS、IMU、视觉、Lidar多源定位算法的设计与优化； 3. Lidar及视觉的SLAM建图及矢量化。
包括英文材料
学历+
模式识别+
https://www.mathworks.com/discovery/pattern-recognition.html
Pattern recognition is the process of classifying input data into objects, classes, or categories using computer algorithms based on key features or regularities.
https://www.microsoft.com/en-us/research/wp-content/uploads/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science.
SLAM+
https://docs.mrpt.org/reference/latest/tutorial-slam-for-beginners-the-basics.html
[英文] SLAM for Dummies
https://dspace.mit.edu/bitstream/handle/1721.1/119149/16-412j-spring-2005/contents/projects/1aslam_blas_repo.pdf
A Tutorial Approach to Simultaneous Localization and Mapping
https://ouster.com/insights/blog/introduction-to-slam-simultaneous-localization-and-mapping
SLAM is an essential piece in robotics that helps robots to estimate their pose – the position and orientation – on the map while creating the map of the environment to carry out autonomous activities.
[英文] What Is SLAM?
https://www.mathworks.com/discovery/slam.html
How it works, types of SLAM algorithms, and getting started
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.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.
CUDA+
https://developer.nvidia.com/blog/even-easier-introduction-cuda/
This post is a super simple introduction to CUDA, the popular parallel computing platform and programming model from NVIDIA.
https://www.youtube.com/watch?v=86FAWCzIe_4
Lean how to program with Nvidia CUDA and leverage GPUs for high-performance computing and deep learning.
OpenCL+
https://developer.nvidia.com/opencl
OpenCL™ (Open Computing Language) is a low-level API for heterogeneous computing that runs on CUDA-powered GPUs.
https://engineering.purdue.edu/~smidkiff/ece563/NVidiaGPUTeachingToolkit/Mod20OpenCL/3rd-Edition-AppendixA-intro-to-OpenCL.pdf
we will give a brief overview of OpenCL for CUDA programers.
[英文] Hands On OpenCL
https://handsonopencl.github.io/
An open source two-day lecture course for teaching and learning OpenCL
https://leonardoaraujosantos.gitbook.io/opencl/chapter1
Open Computing Language is a framework for writing programs that execute across heterogeneous platforms.
https://ulhpc-tutorials.readthedocs.io/en/latest/gpu/opencl/
OpenCL came as a standard for heterogeneous programming that enables a code to run in different platforms.
https://www.youtube.com/watch?v=4q9fPOI-x80
This presentation will show how to make use of the GPU from Java using OpenCL.
OpenGL+
https://www.youtube.com/watch?v=45MIykWJ-C4
Learn how to use OpenGL to create 2D and 3D vector graphics in this course.
https://www.youtube.com/watch?v=W3gAzLwfIP0&list=PLlrATfBNZ98foTJPJ_Ev03o2oq3-GGOS2
https://www.youtube.com/watch?v=XpBGwZNyUh0&list=PLPaoO-vpZnumdcb4tZc4x5Q-v7CkrQ6M-
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.
Linux+
https://ryanstutorials.net/linuxtutorial/
Ok, so you want to learn how to use the Bash command line interface (terminal) on Unix/Linux.
https://ubuntu.com/tutorials/command-line-for-beginners
The Linux command line is a text interface to your computer.
https://www.youtube.com/watch?v=6WatcfENsOU
In this Linux crash course, you will learn the fundamental skills and tools you need to become a proficient Linux system administrator.
https://www.youtube.com/watch?v=v392lEyM29A
Never fear the command line again, make it fear you.
https://www.youtube.com/watch?v=ZtqBQ68cfJc
ROS+
https://www.youtube.com/watch?v=92Zz5nnd41c&list=PLk51HrKSBQ8-jTgD0qgRp1vmQeVSJ5SQC
https://www.youtube.com/watch?v=HJAE5Pk8Nyw
Ready to learn ROS2 and take your robotics skills to the next level?
https://www.youtube.com/watch?v=MWKnMPX0Yjg&list=PLU9tksFlQRircAdEplrH9NMm4WtSA8yzi
Do you want to know more about ROS the Robot Operating System?
相关职位
社招2年以上研发类
1.定位创新方案/算法研究开发，优化解决定位不准、定位慢等痛点问题； 2.多源融合定位算法预研开发，优化严重遮挡、无信号等极限场景的定位问题； 3.MTK/QCOM平台定位性能优化； 4.定位新功能开发与测试用例设计。
更新于 2025-02-07
校招
可穿戴定位团队是一个专注于可穿戴与其他IOT设备定位技术，以领先业界的核心算法为目标致力于改善各类定位相关产品功能体验的创新技术团队。 1、负责穿戴设备GNSS 定位算法技术研发，设计并实现高精度高鲁棒性的定位算法技术，满足不同场景下对于定位能力的需求； 2. 负责GNSS在复杂环境下的多频多星信号处理，包括PVT算法，多传感器（IMU）融合数据处理和GPS紧耦合算法，并参与仿真环境搭建，原始观测量分析等工作，提升复杂环境（城市峡谷、多径干扰等）下的性能； 3. 持续洞察GNSS领域最先进技术研究进展，参与前沿技术与学术交流活动，进行先进定位技术预研与合作性研究并产生创新性研究成果。
更新于 2025-06-14
校招AI/算法类
在这里，你将获得亿级用户的无线通信产品开发机会，你将拥有最简单轻松的工作关系，你将接触行业最顶尖的技术方案。你需要以各种无线协议、通信协议等软件知识作为工具，打造高用户价值的手机产品，工作方向是：参与步行/车载场景下的手机GNSS定位、组合导航、多源融合定位及相关机器学习算法的调研和预研工作。
更新于 2025-07-14
校招
1.负责多源传感器融合定位算法的研发及其相关产品的落地应用； 2.负责多源定位系统的故障诊断与冗余仲裁算法开发，提升系统的可靠性； 3.负责开发定位性能评估系统及定位自动化测试系统。
更新于 2025-07-18