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LAYERED in Zurich area specializes in autonomous construction robotics. They seek a Robotics Control & Systems Engineer to own motion control, coordinate arm and base, and integrate the controller with real hardware on site.
You will develop model predictive, whole-body and optimization-based controls, wire into ROS 2, and tune on live robots, moving from prototype to reliable machines in construction environments.
Location: Zurich area, Switzerland
Start: As soon as possible
Type: Full-time, on-site
LAYERED turns one of construction’s hardest, least-automated trades into precise, autonomous robotic work. We build mobile robots that plaster and finish surfaces directly on site. And we mean plaster — the thick, structural coat that levels a wall and turns rough construction into a finished room. It’s not a niche: plastering is a standardized, code-governed step on virtually every building, endlessly repeated and still applied by hand. Skilled, punishing work that fewer and fewer people want to do, and one reason on-site productivity has barely moved in decades. That makes it a vast, well-defined and chronically under-staffed market: exactly the kind of problem worth handing to a robot.
Spun out of ETH Zurich’s Gramazio Kohler Research, we have developed a full-scale mock-up construction site in our lab and have already started to take the robots onto live construction sites, with clients in Switzerland and France and pilots growing across the rest of Europe. Now we’re scaling from early pilots into a growing fleet — and we need robotics engineers who can turn advanced control into reliable behaviour on real machines.
You’ll own how our robots move, coordinating arm and base, tracking trajectories, staying stable and responding as complete physical systems. Your centre of gravity is advanced control: model predictive control, whole-body motion, optimization-based control and coordinated motion of mobile manipulators.
But you won’t stop at the controller. You’ll build the models it runs on, wire it into our ROS 2 architecture, tune it on real hardware, and chase problems wherever they hide — the maths, the C++, the drives and encoders, the communication bus or the mechanics. This isn’t a simulation-only role: the point is always to make a real machine behave, on a real site, this quarter.
Your main focus:
You will also:
Experience in several of the following would be a strong advantage:
German language skills are useful but not required.
You like to move from your desk to the lab to a live construction site. You love the moment a control concept leaves the whiteboard and starts shaping how a machine moves, and you’re happy jumping between equations, C++, a schematic, a comms log and the robot itself. When it misbehaves, you don’t assume the bug belongs to one discipline: you investigate the whole system.
You want depth and you want things to actually work, not a role where you polish one narrow corner forever, and not one where the deliverable is a paper. You’re pragmatic about when to improve the model, retune the controller, dig into the data or just go and look at the hardware. And you’re drawn to a field most engineers never get to touch: robots that have to perform in the dust and mess of a construction site.
At LAYERED, advanced control has an immediate, visible payoff. What you build won’t sit in simulation — it runs on full-scale mobile manipulators and changes how our robots move on site, often within days. You’ll own a large part of the control and motion architecture, working alongside the electrical, mechanical and software engineers building the product together.
We’re at the point where advanced prototypes have to become reliable machines that work site after site, and your work sits right at the centre of that transition. On a small, focused deep-tech team, you’ll shape the technology, the way we build it and how it gets used on site.
LAYERED is committed to creating a diverse and inclusive workplace. We welcome applications regardless of race, colour, ancestry, national origin, religion, sex, sexual orientation, age, gender identity, gender expression, disability or any other legally protected status.