SLAM工程师

1. Perception Algorithm Development Design and develop core perception algorithms for autonomous driving, including object detection, tracking, classification, semantic segmentation, 3D perception, and scene understanding. Build perception modules using data from camera, LiDAR, radar, and other sensors. 2. Multi‑Sensor Fusion Develop and optimize multi-sensor fusion algorithms to enhance perception accuracy and robustness. Apply methods such as Kalman filtering, Bayesian inference, and deep-learning-based fusion. 3. Algorithm Optimization & Deployment Optimize algorithms for real-time performance, memory efficiency, and stability to meet automotive-grade requirements. Deploy algorithms on embedded or high-performance computing platforms; accelerate using CUDA, TensorRT, or similar tools. 4. Data Analysis & Iteration Participate in data collection, annotation, and analysis. Build data-driven pipelines for continuous improvement, especially in challenging scenarios (night, rain, fog, occlusion, long-tail cases). 5. Research & Innovation Track cutting-edge research in computer vision, deep learning, and autonomous driving. Evaluate and integrate promising technologies into production systems. 6. Cross‑Functional Collaboration Work closely with planning, control, localization, HD map, and system engineering teams. Ensure seamless integration of perception modules into the full autonomous driving stack.

职位描述

Jade Ye