•Responsible for Integrate and deploy ADAS deep learning algorithms on target SOC, enhance performances and reduce computational costs

•Responsible 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

•MS or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering or related field

•Experience with C/C++ programming in an embedded Linux environment

•Experience of embedded systems related to deep learning models

•Experience with Python programming

•Strong understanding of software development process and tools, including JIRA, Confluence, and Git/CMake/Docker/Conan

•Familiarity with shell scripting languages, such as Bash

•Knowledge of Deep Learning algorithms, such as CNN

•Familiarity with deep learning inference, experience with quantization, pruning and etc.

•Experience with GPGPU and CUDA, cuDNN, TensorRT