Perception Fusion Algorithm Engineer/Expert_XC

This role involves developing perception fusion algorithms for intelligent driving, focusing on visual post-processing and multi-sensor target fusion. Responsibilities include implementing post-processing and fusion for various traffic elements like obstacles, OCC, TLR, TSR, and LOD, as well as integrating and upgrading existing fusion frameworks. Candidates should have a master's degree and 3+ years of experience in relevant fields, with expertise in target tracking, 3D distance estimation, or multi-sensor fusion, and a deep understanding of KF/EKF/UKF, Bayesian theory, and probability. Proficiency in C++ and embedded development is required, along with experience in non-linear optimization.

Must Have

• Develop visual post-processing and multi-sensor target fusion algorithms.
• Implement post-processing and fusion for Obstacle, OCC, TLR, TSR, LOD.
• Integrate and upgrade existing fusion frameworks.
• Master's degree or above with 3+ years of experience.
• Experience in target tracking, 3D distance estimation, or multi-sensor fusion.
• Deep understanding of KF/EKF/UKF, Bayesian theory, probability theory.
• Familiar with non-linear optimization in business scenarios.
• Proficient in C++, familiar with embedded development.

Job Description

1. Responsible for visual post-processing and multi-sensor target fusion algorithm development, familiar with data characteristics of camera, radar, lidar sensors, and have a deep understanding of sensor anomaly detection modeling.

2. Responsible for the implementation of post-processing and fusion business for various traffic elements including but not limited to full-scene Obstacle, OCC, TLR, TSR, LOD.

3. Responsible for the integration and upgrade of existing fusion frameworks.

Qualifications

1. Master's degree or above with 3+ years of experience in intelligent driving perception fusion.

2. Experience in target tracking, 3D distance estimation, or multi-sensor, multi-view fusion algorithm development and implementation, with mass production experience.

3. Deep understanding of KF/EKF/UKF, Bayesian theory, probability theory and other related theoretical algorithms, and ability to apply them to solve practical problems.

4. Familiar with non-linear optimization, with experience in applying it to actual business scenarios.

5. Proficient in C++, familiar with embedded development.