Electrical Engineer

The next ten years of AI will not be won in software. They will be won in the physical world: in factories, hospitals, kitchens, fields, and homes. The companies that own that data will own the century. MicroAGI is building it. We are the data layer for physical AI. Our models learn from data captured in the physical world, by hardware we design and build ourselves. As Electrical Engineer, you will own that hardware end to end, from sensor choice and PCB to firmware, so that the data reaching our ML team is clean, synchronized, and trustworthy. What You Will Do Design, build, and integrate the hardware that captures the data our models learn from: sensors, motion-capture rigs, custom IoT setups, and prototype robots. Own the firmware and embedded-software layer: real-time data collection, multi-sensor sync, calibration, and time-stamping. Spec and select sensors and compute for new hardware projects, balancing physical constraints against downstream ML needs. Work shoulder to shoulder with ML engineers. Your hardware delivers their training data, and bad sensor choices haunt them for months. Prototype fast: bench builds, custom rigs, breadboard to working device in days, not quarters. Requirements Up to 5 years building production-grade hardware or IoT systems. Strong embedded-software skills: C/C++, RTOS, and microcontrollers (STM32, ESP32, NXP, or similar). Experience integrating sensors: IMUs, cameras, depth sensors, force sensors, or similar. A strong understanding of how