Embedded Software Engineer

We are seeking an Edge AI & Embedded ML Engineer to develop high-performance low-latency AI models for deployment on resource-constrained devices. This role involves optimizing deep learning models for real-time inference on edge hardware ensuring efficiency in power-limited environments.

If you have experience with TinyML on-device AI and embedded neural networks this is the perfect opportunity to work on cutting-edge innovations.

Tasks

• Design train and optimize machine learning models for deployment on microcontrollers FPGAs TPUs and custom ASICs
• Implement low-power deep learning solutions for edge devices
• Optimize models using quantization pruning knowledge distillation and hardware-aware training
• Deploy and benchmark ML models on TensorFlow Lite ONNX PyTorch Mobile and Edge TPU
• Develop firmware / software to integrate AI models with real-time operating systems (RTOS) IoT networks and embedded Linux
• Collaborate with hardware engineers to improve AI performance on custom architectures

Requirements

Benefits

Work on the bleeding edge of blockchain & AI innovation.

Remote-first team with a flexible work culture.

Opportunity to shape the future of decentralized AI applications.

Competitive salary & potential for equity / token incentives .

Join Avo Intelligence and revolutionize AI! Work with cutting-edge TinyML tech collaborate globally and make an impact. Apply now for the Embedded Software Engineer role!

Key Skills

Dermatology,Accomodation,Corporate Marketing,Corporate Risk Management,Civil Quality Control,Computer Engineering

Employment Type : Employee

Experience : years

Vacancy : 1