Software Engineer - Networking

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. About the Role At Gravis, we build high tech systems that give machine operators super human capabilities. 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. While the system is capable of operating in an isolated environment for many applications local or remote connectivity is crucial. As a software engineer with focus on networking, you will be driving the requirements gathering, component evaluation and testing, development, rollout and monitoring of the networking infrastructure that connects our robots. The networks you build span all dimensions: from the network that connects the sensors to the compute nodes on-robot, via robot-to-robots connections, all the way to global cloud connections via satellite links. You will work at the intersection of our Hardware, Perception and Platform teams to ensure the required data reaches our fleet of 20 to 50 ton robots all across the world fast and reliably!. What you'll do Own the network arch across three layers: the on machine network carrying sensor and control data, the worksite network linking machines and site infrastructure over wireless LAN or cellular and the site backhaul providing remote connectivity over 5G, satellite or fixed links. Support and maintain field deployments with special networking needs