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I will develop mcu ai co processor firmware edge ai npu accelerator integration
AI Edge Firmware Engineer, TinyML, ESP32, Smart IoT, Vision
I am an embedded firmware engineer specializing in AI-powered edge systems and smart IoT devices. I design and develop ESP32-S3 and MCU-based firmware for TinyML applications, sensor intelligence, and...
About this Gig
Expert firmware for MCU and AI co processor integration You are in the right place. I develop professional embedded AI firmware for MCU to NPU communication edge AI systems accelerator chips and smart hardware platforms.
I help startups AI companies robotics teams and hardware developers build reliable firmware that connects microcontrollers with AI accelerators for real time inference and edge computing applications.
Services
- MCU firmware development
- AI co processor integration
- NPU accelerator communication
- Edge AI pipeline control
- Data preprocessing for inference
- Sensor data filtering and structuring
- UART SPI I2C high speed links
- DMA optimized data transfer
- Real time inference handling
- Memory and buffer optimization
- Model input pipeline management
- Hardware AI module bringup
- Latency optimization
- Embedded Linux MCU bridge support
- OTA firmware updates
- Custom PCB firmware integration
- Production ready architecture
- Secure communication design
Why choose me
- High performance low latency design
- Clean scalable embedded architecture
- Reliable hardware communication
- Fast debugging and iteration
- Startup friendly collaboration
- Production ready implementation
contact before ordering!
FAQ
Can you integrate MCU with AI co processors
Yes I build firmware for MCU to AI chip communication including NPU and accelerator modules.
Do you support edge AI pipelines
Yes I develop edge AI firmware for preprocessing inference pipelines and real time data handling.
Can you handle high speed communication interfaces
Yes I work with UART SPI I2C DMA and optimized hardware data transfer systems.
Do you support robotics and vision systems
Yes I build firmware for robotics AI vision systems and smart embedded AI devices.
Can you optimize inference performance
Yes I optimize latency memory usage and data pipeline flow for AI acceleration.
Can you fix existing MCU AI integration issues
Yes I debug communication errors buffering issues timing problems and integration failures.
What do you need before starting
Share MCU type AI chip model communication protocol and target application details.
