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