L4 Advanced Perception Expert

1. Responsible for the research, optimization, and iteration of multi-sensor fusion perception algorithms in open-pit mine scenarios, overcoming perception challenges under extreme conditions such as dust, rain, snow, fog, severe vibration, and drastic changes in lighting.

2. Lead or deeply participate in the entire technology chain, from perception model design, sensor calibration and spatiotemporal synchronization, platform deployment optimization to real-vehicle performance tuning.

3. Responsible for building and improving the evaluation system for the perception system, defining key indicators, and driving continuous improvement of algorithm performance through massive amounts of real and simulated data.

4. Work closely with planning and control, simulation, and testing teams to ensure the efficient implementation of technical solutions.

1. Possesses a systematic and profound understanding of the entire autonomous driving perception technology stack, and is proficient in core tasks such as 3D object detection, multi-sensor front/back fusion, and driving area perception.

2. Proficient in algorithms and possesses solid engineering implementation capabilities: rich experience in sensor calibration (intrinsic and extrinsic parameters), model lightweighting and deployment, high-performance programming, and embedded optimization.

3. Has in-depth research or practical project experience in cutting-edge areas such as BEV perception, Occupancy Networks, end-to-end autonomous driving, and VLA large models.