Bachelor degree or above in EE, CS, automation or related fields, 1+ years of experience, 2-3 openings.
Responsibilities
Develop and productionize autonomous driving BEV algorithms, including vision/LiDAR early fusion, BEV / Occupancy Network and multi-task detection models.
Explore deep learning methods for real-time environment and traffic participant perception.
Optimize model compression, training, deployment, operators, post-processing and generalization across vehicle and camera setups.
Improve model performance through semi-supervised training and multi-source datasets.
Optimize BEV, lane-line and other multi-task training workflows.
Solve ray splitting, unstable rear detection, yaw jitter and long-range false or missed detection issues.
Improve small-object, long-range vehicle and cone detection performance.
Requirements
At least 1 year of R&D experience in machine learning, computer vision, 3D geometry, optimization or high-performance computing.
Proficient in C++ / Python and at least one mainstream deep learning framework.
Strong communication and collaboration skills in cross-functional teams.
Solid mathematical foundation and good English reading ability.
Mass-production experience in autonomous driving perception algorithms is preferred.
LiDAR Algorithm Engineer
Algorithm R&D · Beijing
Bachelor degree or above in CS, robotics, electronics, automation or related fields, 1+ years of experience, 2-3 openings.
Responsibilities
Develop point-cloud perception algorithms for autonomous driving projects, including processing, detection and tracking.
Build perception algorithms for multi-line LiDAR, single-line LiDAR and RGBD sensors.
Develop and optimize homogeneous and heterogeneous sensor fusion algorithms.
Integrate perception algorithms with control, localization and dispatching modules.
Deploy, optimize and deliver algorithm products with required documentation.
Track and research frontier perception technologies.
Requirements
Familiar with point-cloud algorithms such as fitting, feature extraction, registration, filtering and denoising; PCL and EIGEN experience preferred.
Understanding of image algorithms, sensor fusion, planning/control and localization.
Proficient in C++ and Python with solid mathematics and logical thinking.
Strong learning ability, communication skills and self-motivation.
Autonomous driving, robotics, point-cloud or fusion algorithm experience is preferred.
Planning and Control Algorithm Engineer
Algorithm R&D · Beijing
Bachelor degree or above with 2+ years of control algorithm development experience, 2-3 openings.
Responsibilities
Research and implement lateral and longitudinal control algorithms for autonomous driving.
Calibrate vehicle kinematic models and design automated calibration tools.
Requirements
Expertise in MPC, LQR, Stanley, PID and path tracking algorithms; familiar with classical and modern control theory.
Familiar with vehicle lateral/longitudinal kinematics and dynamics modeling with hands-on control tuning experience.
Strong C++ programming ability and familiarity with Ubuntu and ROS.
Experience with robotics or autonomous driving planning algorithms such as A*, Lattice and TEB is preferred.
Fusion Localization Algorithm Engineer
Algorithm R&D · Beijing
Master degree or above in CS, robotics, electronics, automation or related fields, 2+ years of experience, 2-3 openings.
Responsibilities
Build high-precision localization and mapping based on LiDAR, GPS, IMU, camera and wheel-speed sensor fusion.
Solve localization issues in project delivery and improve accuracy, robustness and reliability.
Develop and productize localization algorithms for real-world applications.
Collaborate with perception fusion, planning/control, low-level software and hardware teams.
Requirements
Solid understanding of SLAM, Kalman filtering, graph optimization and optimal estimation.
Hands-on experience with at least one LiDAR or visual SLAM framework and understanding of GNSS, IMU and odometry fusion.
Strong C/C++ programming ability and familiarity with Linux and ROS/ROS2.
Strong problem analysis, logical thinking, teamwork and communication skills.
AGV, autonomous driving, robotics localization/navigation project or competition experience is preferred.
