EOL标定算法工程师_XC
Suzhouonsite
Posted today · via Smartrecruiters
About this role
负责智能驾驶/ADAS 多传感器标定算法的设计、开发、优化与落地,包括相机内外参标定、相机-车辆标定、Camera-LiDAR 联合标定、多相机标定、EOL产线标定等。 负责标定算法核心模块的开发、优化及工程化实现。 负责标定算法的精度、鲁棒性和收敛性能优化,并针对实际道路及车辆运行场景进行算法分析和改进。 负责算法从数据分析、算法开发到实车测试和量产部署的落地。 Qualifications 1. 基础要求 计算机、自动化、电子信息、车辆工程、数学、控制、机器人等相关专业,硕士及以上学历; 具有计算机视觉、机器人、自动驾驶、SLAM、三维点云或多传感器融合相关项目2年以上经验; 2. 算法能力 熟悉相机标定、坐标系变换及三维几何基础,掌握旋转矩阵、四元数、Euler Angle 等姿态表示方法; 熟悉计算机视觉及三维几何算法,如 Optical Flow、特征匹配、PnP、RANSAC、Homography、Vanishing Point、ICP/GICP 等; 熟悉非线性优化及 Ceres、g2o 等优化框架,具备标定算法精度、鲁棒性和收敛性分析能力。 3.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, c++, openai, github
2
Level fit
We check your title trajectory against the seniority signal of the role.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Suzhou. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonc++openaigithub
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