Summary: Design and operate flight simulation environments to generate synthetic visual data for training computer vision detectors within a Detect and Avoid system for BVLOS operations. Highlights: 1. Opportunity to enable drones to populate our skies 2. Work with an R&D team pushing UAV technology boundaries 3. Contribute to a company with strong international presence and growth Alicante, España **\#Join us in enabling drones to populate our skies** At **Embention**, we have been driven since 2007 by a clear mission: **Enabling drones to populate our skies.** We provide more than **700 customers in 70 countries** including internationally renowned companies such as Toyota, Amazon Prime Air, and Honda with Veronte autopilots, critical avionics, and software for their professional drones and eVTOLs. All our systems are developed in accordance with DO\-178C, DO\-254, and DO\-160 standards, making us the only company in the sector certified by AESA and EASA as both a POA and APDOA. The core of our company lies in our R\&D team, made up of over 100 multidisciplinary engineers. Together with the rest of the organization, we are a team of **180 professionals** united by a single goal: to innovate and push the boundaries of UAV technology. Following a record\-breaking 2025 marked by strong stock market performance, the launch of industrial production in the United Arab Emirates, and the establishment of a subsidiary in the United States, we are looking to continue expanding our team and driving continuous R\&D development. If you are passionate about our mission and want to be part of this journey, we are looking for you. **What would be your mission?** Your mission will be to design and operate flight simulation environments to generate physically consistent and statistically robust synthetic visual data that will enable the training and improvement of computer vision detectors (YOLOX or similar) within a Detect and Avoid (DAA) system for BVLOS operations. **Which will be your responsibilities?*** Design and configure scenarios in flight simulators under different lighting conditions, backgrounds, weather conditions, etc. * Integrate 3D aircraft models. * Configure virtual cameras (FOV, resolution, optics, distortion). * Generate image and video sequences with operational variability. * Generate structured ground truth (bounding boxes, labels, tracking IDs). * Automate mass generation of datasets. * Collaborate with the AI team to improve detector performance. * Validate physical consistency between trajectories and visual projection. **️‍ ️ What do we need?*** Training in computer engineering, telecommunications, aeronautics or similar. * Experience in graphics engines or flight simulators. * Programming in PythonC\+\+ and scripting in graphics engines. * Understanding of camera models and projective geometry. ***Embention is an equal opportunity employer. Recruitment decisions are made based on experience, qualifications, and alignment with role requirements.*** ***Want to meet the team?***