Job Responsibilities:
1. Responsible for the research and development of algorithms related to 3D image target detection, 3D point cloud target detection, image-point cloud fusion, BEV models, map segmentation, end-to-end, visual large models (VLM), world large models, 3DGS, NeRF, etc. in autonomous driving, and tracking the latest research achievements in the industry;
2. Responsible for the porting and deployment of existing deep learning network models on embedded platforms, promoting the iteration of algorithms in actual products;
3. Responsible for data mining, analysis, model accuracy, and performance optimization related to existing deep learning network models;
4. Responsible for model training records and algorithm design document writing during the software development process of perception algorithm modules;
Job Requirements:
1. A good foundation in mathematics is preferred (calculus, linear algebra, probability theory);
2. Master's degree or above in computer science, mathematics, electronics, or related fields;
3. Familiar with deep learning-based 2D and 3D target detection, tracking, semantic segmentation, Occ, end-to-end, visual large models (VLM), world large models, and other tasks;
4. Familiar with TensorRT, CUDA programming development, and have experience in heterogeneous computing development;
5. Familiar with the calibration of various sensors such as vehicle-mounted cameras and LiDAR;
6. Able to read English literature proficiently, possess good learning ability, strong sense of responsibility, and good teamwork spirit.