1.Design and implement system software of embedded devices.
2.Optimization and customization for kernel driver feature.
3.Customization for HAL / Driver in Android OS.
4.Implement tool for testing requirement for ODM/OEM.
5.Integrate 3rd party/in house/open-source algorithm to different platform.
6.Analyze system performance issue.
7.Customization for SOC chipset driver.
8.Review BSP issues.
1. Porting and Optimizing AI Models: Adapt and optimize AI models to run efficiently on various edge platforms.
2. Deploying AI Application Microservices: Deploy microservices for AI applications, ensuring seamless integration and efficient execution.
3. Data Collection and AI Model Training: Collect relevant data based on project requirements and train AI models accordingly.