Seniority Level: Do you have what it takes to define the future sourcing strategy for key business services categories, representing hundreds of millions in annual spend? Can you lead strategic negotiations to create successful partnerships for
RDQ127R176 At Databricks, we are passionate about enabling data teams to solve the worlds toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this
Gravis Robotics is a high-growth ETH Zurich spin-off that turns heavy construction machines into autonomous robots. Our unique combination of learning-based automation and augmented remote control lets one operator safely conduct a fleet of earthmoving machines in
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
Job Description SummaryThe Mission- are you ready to shape the future of energy infrastructure? As a Steam Turbine Service & Upgrade Engineer (m/w/d), you’ll sit at the intersection of innovation and execution. You will contribute across
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
As our Founders Associate, youll work closely with the founders and the management team on a wide range of what the company does, from commercial- and product-related topics, to internal processes and everything in between. You
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.