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Gravis Robotics seeks a Mechanical Design Engineer to own core hardware systems for the Gravis RACK retrofit. You will oversee sensing and compute hardware, and the heavy structural tooling used to mount and integrate equipment on excavators and wheel loaders.
You will also define how this work is done, shaping design practices as we scale production. You will lead design, validation, and tooling development, performing structural analysis, and delivering production-ready CAD packages for
Gravis Robotics turns heavy construction machines into intelligent, autonomous robots. Spun out of ETH Zurich, our combination of learning-based automation and augmented remote control lets one operator safely conduct a fleet of earthmoving machines with super-human productivity. We are deploying with global market leaders in construction and mining, in a trillion-dollar industry that has barely begun to automate.
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.
You’ll own mechanical design and validation across both sides of that scope: the sensing and compute hardware that retrofits onto a machine, and the heavy structural tooling that machine works with. You’ll also define how we do this work. We’re moving from early production into scale-up with a next-generation platform ahead, and our engineering practices are still yours to shape.
This is an opportunity to join a dynamic, multidisciplinary team — and to be part of a young startup that is reshaping heavy construction.
Gravis is an equal opportunity employer. We are committed to building an inclusive and diverse team, and do not discriminate based on race, colour, ancestry, national origin, religion, sex, sexual orientation, age, gender identity, gender expression, disability, veteran status, or other legally protected characteristics.
We are an international team working to solve problems with global impact. To facilitate efficient communication and collaboration, proficiency in English is a requirement for all roles.
We may use AI tools to support parts of the hiring process, such as reviewing applications and analysing resumes. These tools assist our recruitment team but do not replace human judgment, final decisions are always made by people. For questions about how your data is processed, please contact us.