We are seeking an Edge AI & Embedded ML Engineer to develop high-performance, low-latency AI models for deployment on resource-constrained devices. If you have experience with TinyML, on-device AI, and embedded neural networks, this is the perfect opportunity to work on cutting-edge innovations.
Design, train, and optimize machine learning models for deployment on microcontrollers, FPGAs, TPUs, and custom ASICs
Develop firmware/software to integrate AI models with real-time operating systems (RTOS), IoT networks, and embedded Linux
Experience in embedded software development for AI & TinyML applications
Proficiency in C, C++, and Python for real-time, low-power systems
Knowledge of microcontroller architectures and RTOS (Zephyr, FreeRTOS, etc.)
Passion for pushing the limits of Edge AI & embedded ML innovation
Benefits
&##Remote-first team with a flexible work culture.
&##Competitive salary & potential for equity/token incentives.
Apply now for the Embedded Software Engineer role!