Company Description

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

Job Description

1. Responsible for the design, development, optimization, and implementation of multi-sensor calibration algorithms for intelligent driving/ADAS, including camera intrinsic/extrinsic parameter calibration, camera-vehicle calibration, Camera-LiDAR joint calibration, multi-camera calibration, online calibration, and after-sales calibration.

2. Responsible for the development, optimization, and engineering implementation of core modules of calibration algorithms.

3. Responsible for optimizing the accuracy, robustness, and convergence performance of calibration algorithms, and analyzing and improving algorithms for actual road and vehicle operation scenarios.

4. Responsible for the implementation of algorithms from data analysis and algorithm development to real vehicle testing and mass production deployment.

Qualifications

1. Basic Requirements

• Computer science, automation, electronic information, vehicle engineering, mathematics, control, robotics, and other related majors, master's degree or above;

• More than 2 years of experience in computer vision, robotics, autonomous driving, SLAM, 3D point cloud, or multi-sensor fusion related projects;

2. Algorithm Capability

• Familiar with camera calibration, coordinate system transformation, and 3D geometry basics, mastering attitude representation methods such as rotation matrix, quaternion, Euler Angle;

• Familiar with computer vision and 3D geometric algorithms, such as Optical Flow, feature matching, PnP, RANSAC, Homography, Vanishing Point, ICP/GICP, etc.;

• Familiar with nonlinear optimization and optimization frameworks such as Ceres, g2o, and capable of analyzing the accuracy, robustness, and convergence of calibration algorithms.

3. Engineering Capability

• Familiar with C/C++, Python, and Linux development environments, with good code implementation, debugging, and performance optimization capabilities;

• Familiar with common algorithm libraries such as OpenCV, PCL, Eigen, Ceres, and experienced in algorithm module engineering and mass production deployment;

• Strong data analysis and problem-solving abilities, capable of iterating and optimizing algorithms based on actual data, logs, and real vehicle test results.

III. Bonus Points

• Experience in intelligent driving/ADAS mass production project development;

• Experience in multi-sensor calibration or online calibration for Camera, LiDAR, etc.;

• Experience in actual vehicle road testing and calibration problem analysis;

• Experience in AI-assisted programming practices, familiar with tools such as GitHub Copilot, OpenAI Codex, and capable of using AI to improve algorithm development, debugging, and code refactoring efficiency;

• Experience in algorithm deployment on embedded/automotive platforms and CPU/GPU/NPU performance optimization.