ADASBCSC

• 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

Qualifications :

• 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

Remote Work :

No

Employment Type :

Full-time