Head of Hardware

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About the role

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 Head of Hardware, you own that hardware end to end: electrical, firmware, and the mechanical integration that holds it together, from the first schematic to devices running on factory floors. You lead the team that builds it. Today that is about six engineers on robotics, three on EMG sensing, and three on camera systems, plus contractors, and it will grow quickly. Our Electrical Engineer and Embedded Engineer roles report to you. You set the architecture they build against, and you still build alongside them. This is a founder-shaped role, not a management seat. We are looking for someone who has carried a product from a blank page to customers with real skin in the game, wants to build both the thing and the team that builds it, and would rather design than review. If that sounds like you, you will want to do it again at the earliest stage. What You Will Do • Own the hardware roadmap for Shift and Atlas data capture: wearables, sensor rigs, camera systems, and prototype robots. What we build, in what order, and why. • Set the system architecture across electrical, firmware, and mechanical: sensors, compute, power, wireless, and enclosures. Make the trade-offs, and make them stick when disciplines disagree. • Stay on the bench: schematics, layout reviews, board bring-up, and a scope in your hands when the team is stuck. On the days it matters, you are the best electrical engineer in the room. • Lead and grow the team: hire, set the bar, run design reviews, and give engineers ownership of whole subsystems rather than tickets. • Guarantee data quality end to end: EMG and EEG front ends, camera pipelines, IMUs, and synchronization across many devices, so that what reaches the ML team is clean, time-aligned, and trustworthy. • Take designs from prototype to small-batch production: DFM, component and EMS vendors, test fixtures, certification, and field reliability. • Work shoulder to shoulder with ML and deployment. Your hardware decides what the training data looks like, and you will be on the floor where it is captured. • Run contractors and partners without losing ownership of the result. Requirements • You have taken at least one product from zero to shipped, with significant ownership of the outcome: as a co-founder, CTO, first hardware hire, or the lead who owned the whole device. Not one subsystem, not one phase. Ideally a wearable, at a tier-one hardware company known for shipping at scale. • Electrical engineering is your home discipline. You have designed boards that shipped, across mixed-signal, power, wireless, and high-speed digital, and you can still do it today. •

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