EOL标定算法工程师_XC

About the Position

We are looking for an EOL Calibration Algorithm Engineer_XC to join our team in Suzhou, Jiangsu, China. This role involves designing, developing, optimizing, and implementing calibration algorithms for intelligent driving and ADAS multi-sensor systems.

Responsibilities

• Design, develop, optimize, and implement calibration algorithms for intelligent driving and ADAS, including camera intrinsic/extrinsic calibration, camera-vehicle calibration, Camera-LiDAR joint calibration, multi-camera calibration, and EOL production line calibration.
• Develop, optimize, and implement core modules of calibration algorithms.
• Optimize the accuracy, robustness, and convergence performance of calibration algorithms, and analyze and improve algorithms based on actual road and vehicle operating scenarios.
• Oversee the entire process from data analysis, algorithm development, real vehicle testing, to mass production deployment.

Requirements

Basic Requirements

• Master's degree or higher in computer science, automation, electronic information, vehicle engineering, mathematics, control, robotics, or related fields.
• Over 2 years of experience in computer vision, robotics, autonomous driving, SLAM, 3D point cloud, or multi-sensor fusion related projects.

Algorithm Skills

• Familiarity with camera calibration, coordinate system transformation, and 3D geometry basics, and proficiency in rotation matrices, quaternions, Euler Angles, and other pose representation methods.
• Proficiency in computer vision and 3D geometry algorithms such as Optical Flow, feature matching, PnP, RANSAC, Homography, Vanishing Point, ICP/GICP, etc.
• Familiarity with nonlinear optimization and optimization frameworks such as Ceres and g2o, with the ability to analyze the accuracy, robustness, and convergence of calibration algorithms.

Engineering Skills

• Proficiency in C/C++, Python, and Linux development environments, with good code implementation, debugging, and performance optimization skills.
• Familiarity with common algorithm libraries such as OpenCV, PCL, Eigen, and Ceres, with experience in engineering and mass production deployment of algorithm modules.
• Strong data analysis and problem-solving skills, able to iterate and optimize algorithms based on actual data, logs, and real vehicle test results.

Nice to Have

• Experience in intelligent driving/ADAS mass production projects.
• Experience in camera, LiDAR, and other multi-sensor calibrations.
• Experience in actual vehicle road testing and calibration problem analysis.
• Experience in AI-assisted programming, familiarity with tools such as GitHub Copilot and OpenAI Codex, and the ability to use AI to improve algorithm development, debugging, and code refactoring efficiency.
• Experience in embedded/vehicle platform algorithm deployment and CPU performance optimization.

We Offer

• Competitive salary
• Opportunity to work in a cutting-edge field of intelligent driving and ADAS
• Collaborative and innovative work environment

About the Company

[Company description if present]