Gravis Robotics is a high-growth Series A start-up backed by SoftBank, bringing Physical AI to the construction industry, turning heavy construction machines into autonomous robots.
Gravis began as an ETH Zurich spin-out, and our unique combination of learning-based automation and augmented remote control lets one operator safely conduct a fleet of earthmoving machines in a gamified environment.
Backed by deep robotics research and now deployed across multiple countries with leading construction and equipment partners, our team is rapidly growing to bring this technology to a trillion-dollar industry.
The Gravis RACK is a machine-agnostic retrofit kit that adds autonomy to excavators and wheel loaders from 10 to 100+ tonnes: LiDAR and camera sensing, GNSS RTK, networking hardware and rugged edge compute that works offline.
Paired with the Slate tablet and our Copilot software, it lets an operator run a machine manually, with AI assistance, or fully autonomously.
Increasingly, we also build custom hardware to adapt our machines for highly specialized, robust applications beyond traditional excavation.
To adapt in real time to changes in the environment the Gravis Rack fuses data from LiDAR, cameras, GNSS, and hydraulics into an autonomous control system.
All of it runs on Linux, on compute hardware we design ourselves, bolted to the roof of a machine that vibrates, overheats, and regularly loses network coverage.
As a senior engineer focused on the embedded platform, you will own the software layer closest to that hardware: bootloader, kernel, device tree, root filesystem, and the update mechanism that keeps the fleet current.
You will work at the intersection of our Hardware, Firmware, Autonomy, and Perception teams to bring up new boards alongside the engineers who designed them, then hand the software organization a platform they can build on without.