Accelerating embodied AGI.
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 a data research and deployment lab.
Atlas captures the manual work inside Europe’s industrial champions, trains foundation models on it, and deploys the right robot onto the floor, with no teleoperation and no interruption to the line.
Shift records how physical work actually happens and turns it into training-ready data.
We were founded by former Formula 1 engineers from Red Bull Racing and Mercedes, together with a researcher from the Alan Turing Institute.
Our $55M seed round, the largest in German history, was led by Hummingbird with Northzone, LocalGlobe, Village Global, and redalpine.
We are based in Munich, with our research centre in Zürich and teams in London, New York, and Istanbul.
We are now building the engineering and research teams that will take Atlas into new industries.
Our models learn from data captured in the physical world, by hardware we design and build ourselves.
As Embedded Engineer, you will own the firmware that runs on that hardware, from the first register write to the moment data leaves the device, so that what reaches our ML team is clean, synchronized, and trustworthy.
What You Will DoWrite and own the firmware for our data-capture hardware: sensors, motion-capture rigs, custom IoT setups, and prototype robots.
Build real-time data acquisition: drivers, DMA, buffering, and streaming from many sensors at once without dropping a sample.
Solve multi-sensor synchronization, calibration, and time-stamping so every data point lines up across devices and modalities.
Bring up new boards with our Electrical Engineer and turn fresh hardware into working devices fast.
Build the path from device to dataset: communication protocols, on-device logging, and handoff into our data pipeline.