We are hiring a Perceptual Network Model Development Engineer to build and deploy advanced BEV and multi-sensor perception models for real-world industrial and robotics scenarios. This role offers strong careers growth through hands-on work with cutting-edge deep learning, multi-modal perception, and edge deployment. As part of our expanding job openings, you will own the full lifecycle from data preparation and model training to optimization and on-device performance tuning. These employment opportunities are ideal for engineers passionate about computer vision, AI, and practical deployment at scale.
Requirements include:

1.Solid CV foundation and Python and C++ programming knowledge, familiar with Linux development and testing processes
2.Proficient in the whole process of training multi-modal models, master PyTorch and other training frameworks
3.Familiar with various target detection, strength segmentation, BEV and other related technologies
4.In-depth understanding of acceleration technologies such as model parallelism, video memory optimization, and quantitative compression
5.Master the design of the data cleaning process, and be familiar with data enhancement, denoising, and quality evaluation methods


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