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 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 DoDesign, build, and integrate the hardware that captures the data our models learn from: sensors, motion-capture rigs, custom IoT setups, and prototype robots.
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.