Job DescriptionResponsible for Integrate and deploy ADAS deep learning algorithms on target SOC, enhance performances and reduce computational costsResponsible for the SW & HW joint design & optimization of deep learning model, provide support for model development team.Provide support for multi-sensors-based location, Mapping & Fusion ADAS module development

QualificationsMS or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering or related fieldExperience with C/C++ programming in an embedded Linux environmentExperience of embedded systems related to deep learning modelsExperience with Python programmingStrong understanding of software development process and tools, including JIRA, Confluence, and Git/CMake/Docker/ConanFamiliarity with shell scripting languages, such as BashKnowledge of Deep Learning algorithms, such as CNNFamiliarity with deep learning inference, experience with quantization, pruning and etc.Experience with GPGPU and CUDA, cuDNN, TensorRT