
Gravis builds the physical AI that turns standard excavators into autonomous robotic teammates. We bring software-defined intelligence to an industry that has run on pure iron for a century.

Our engineers and builders come from the best labs and companies in the world. Come do your best work alongside them.













“We are forging an iconic, functional design language for the hardware driving the autonomous heavy equipment revolution.”

“Designing Slate feels like building a video game, but with high-stakes reality: shaping how human operators interact with and trust heavy construction equipment that move on their own.”

“Taking our software into the field and watching a massive excavator execute its first autonomous dig feels like magic”

“We went from an ETH Zürich lab to active jobsites across the world, and the culture here is second to none. It’s the most fulfilling engineering work of my career.”

“Designing the rugged hardware that powers some of the largest robots on Earth is an incredible engineering challenge, and honestly, a complete blast.”

“There is nothing quite like writing code and watching it move a 30-ton excavator in the real world. Very few places give you that level of immediate, physical impact.”

“Building our platform means laying the foundation for our entire fleet alongside elite engineers—it’s as rewarding as engineering gets.”

“We are building the physical intelligence for heavy machinery and watching it dig on live jobsites just weeks later. This is the absolute cutting edge of robotics.”

“From my first week, I was contributing directly to the simulation pipelines that train our autonomous software. You don’t get this level of impact as an intern anywhere else.”
Deployment sites spread across the globe.

Whatever you build here moves real earth on active construction sites. Perception, autonomy, hardware, interfaces, simulation - if you want to solve the hardest physical AI challenges on heavy iron, this is where you do it.
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