(Senior) Technical Field Engineer — Robotics Integration & Deployment

Job description

🚀 Join SE3 Labs as (Senior) Technical Field Engineer — Robotics Integration & Deployment Be the person who makes advanced autonomous systems work in the real world. Move across the full stack: drones, sensors, calibration, autonomy software, perception, networking, payloads, field operations, and partner environments. When the system is not mission-ready, you create clarity, find the root cause, and help make it robust. About SE3 SE3 Labs is building Spatial AI by combining 3D computer vision with large language models. We believe the ability to reason about and act within physical space is foundational to unlocking the next generation of automation, from construction to smart infrastructure, and ultimately, defence. Now, we’re bringing Spatial AI into the sky through high-performance UAVs that can perceive, localize, coordinate, and act in the real world. This requires more than strong algorithms and good hardware. It requires systems that can be configured, calibrated, tested, deployed, demonstrated, debugged, and improved under real field conditions. We’re looking for a hands-on engineer who wants to work close to the product, close to the field, and close to the full autonomy stack. Someone who is not limited to one layer, but follows the problem wherever it leads. About the Role As (Senior) Technical Field Engineer — Robotics Integration & Deployment , you will own the last mile between SE3’s engineering team and real-world use. You will bring together UAVs, payloads, sensors, onboard compute, autonomy software, operator tools, and partner environments into systems that are ready to fly, test, demonstrate, and deploy. This is a highly hands-on, full-stack field engineering role. When something is not working, you go where the evidence leads: recalibrate a sensor, solve an issue in the perception stack, debug a radio link, inspect a harness, analyse a flight log, adapt an autonomy behavior, fix a configuration issue, improve a checklist, or bring the right evidence back to the engineering team. The problems you will work on are complex, dynamic, and multivariable. You will often have partial information, limited time, imperfect tools, and a system where hardware, software, environment, and operator behavior interact in non-obvious ways. Your job is to create clarity, choose the right debugging path, and drive the system toward a robust long-term soluti…