Job Description SummaryThe Gas Turbine Product Service Lead Engineer will provide technical guidance and support of Gas Turbine customers. In this role you will be responsible for customer technical issue resolution for Gas Turbine component from day-to-day
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
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
Please note that for this position, well only consider applications from people who are already living in Switzerland. About Papers Papers is a software engineering company founded on high-tech talent. We support the full lifecycle of
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
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
RIVR, part of Amazon is a robotics company pioneering Physical AI through real-world doorstep delivery. Founded in 2024 as an ETH Zurich spin-off, RIVR, part of Amazon developed wheeled-legged robots designed to operate in complex, unstructured
Your Team The Mission Team at Verity ensures the seamless operation of our autonomous drone fleets, enabling precise and efficient data collection in dynamic warehouse environments. Were pushing our drones toward greater autonomy, advancing 3D perception, machine
What we do Flycatcher builds unsupervised visual anomaly detection for industrial inspection. Our system learns what normal looks like from a handful images, then flags everything else in milliseconds, on commodity hardware. No pre-labelled defect data.