Embedded Systems Engineer: Modular IoT Device with Edge-AI (LTE-M/NB-IoT)

Job ID: 40431079

Budget: £18 – £40 GBP

Core Hardware Platform (Motherboard)The "Primary Logic Unit" or "Universal Motherboard" serves as the intelligent core of the system and will utilize a System-on-Module (SoM) approach. Key components include: Processor: The board will utilize a high-performance chipset capable of supporting Global LTE-M and NB-IoT connectivity with a 2G fallback. Edge-AI Support: The processor must be capable of hosting a TinyML framework to perform real-time, on-device analysis of biochemical and environmental data. Connectivity: The platform includes integrated eSIM support and GPS tracking for real-time location tagging of all sensor readings. Power Management: The hardware will utilize a Rechargeable Li-Po or a Li-SOCl2 + Supercapacitor hybrid battery system designed for optimized power management, targeting a 6-month standby life.