The UAS (Uncrewed Aerial Systems) Synthetic Environment & Sensor Simulation Engineer (M/F) position is within Airbus UpNext Spain, based in Getafe, starting ASAP. It consists of a limited contract linked to the delivery of the flight autonomy demonstrator, with an estimated completion date at the end of December 2028.*
Airbus UpNext is looking for a Synthetic Environment & Sensor Simulation Engineer to develop the virtual environments, synthetic sensor models and automated scenario-generation capabilities required by the flight autonomy demonstrator.
The role will use synthetic environment and sensor simulation tools based on Unreal Engine as backbone to generate diverse environments, operational conditions and sensor data. These capabilities will support two main activities, the generation of fully synthetic and hybrid datasets for the offline training, benchmarking and validation of AI models, and the generation of procedural virtual worlds and synthetic sensor data for real-time testing of the Flight Autonomy system.
The synthetic-environment platform will use this information to generate synchronized sensor outputs and inject them into the autonomy system under test.
Should you find passion in constructing high-fidelity digital representations of reality and modeling sensor perception under rigorous real-time demands and integration challenges, this could be your designated boarding gate.
* Build the virtual worlds and physics-based sensor simulations that train and validate our flight autonomy systems. You will leverage Unreal Engine to generate synthetic datasets for AI training and feed real-time sensor data into hardware-in-the-loop (HIL) test rigs.
* Procedural Environments:* Build dynamic, procedural virtual worlds (terrain, urban areas, weather, lighting, obstacles) using game engine technology.
* *Dataset Generation:* Create high-fidelity synthetic and hybrid datasets with precise ground-truth annotations (depth, segmentation, tracking) to train and benc
📌 Airbus UpNext Spain (España)
🏢 Airbus
📍 España