We are looking for a UAS (Drone) Vision Engineer to develop advanced vision systems for autonomous aerial platforms.

Job Overview

As a Drone Vision Engineer, you will develop computer vision and AI solutions that enable drones to perceive and interact autonomously with their environment. You will work on real-time image and video processing, object detection and tracking, scene understanding, and visual navigation.

We are looking for someone with strong experience in computer vision, AI, and robotics, ideally with experience deploying vision systems on drones or embedded platforms.

Key Responsibilities

• Design and develop computer vision and AI algorithms (detection, tracking, segmentation, SLAM, localization, mapping);

• Build onboard perception systems to support autonomous navigation, inspection, and target identification;

• Implement real-time image and video processing solutions;

• Integrate cameras and sensors (RGB, thermal, depth, LiDAR, multispectral) with drone systems;

• Optimize AI models for embedded and edge platforms (e.g., NVIDIA Jetson);

• Integrate vision systems with flight control, autonomy, and mission management software;

• Develop simulation and testing environments before real-world deployment;

• Support dataset collection, preprocessing, annotation, and model validation;

• Conduct field tests with operations teams and improve system robustness;

• Document system architecture, experiments, and deployment configurations;

• Stay up to date with advancements in computer vision and drone perception.

Profile & Requirements

• Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, AI, Computer Vision, or related field.

• 3+ years in computer vision, AI, robotics, or embedded vision systems.

• Experience with perception systems and real-time processing.

• Experience deploying models on embedded or edge devices.

Technical Skills

• Strong programming skills in Python and C++.

• Experience with frameworks such as OpenCV, PyTorch, TensorFlow, TensorRT, ONNX, scikit-learn.

• Knowledge of object detection, tracking, segmentation, SLAM, visual odometry, pose estimation.

• Familiarity with ROS / ROS2.

• Experience with embedded platforms (e.g., NVIDIA Jetson).

• Understanding of real-time and embedded systems.

• Experience with simulation tools (Gazebo, AirSim, Webots).

• Knowledge of imaging sensors (RGB, thermal, stereo, depth).

• Understanding of communication protocols and data pipelines.

Benefits and Career Opportunities

• Health insurance;

• Meals allowance;

• Annual bonus;

• Be part of a motivated multidisciplinary and innovative team;

• Stable contractual relationship;

• Salary according to demonstrated experience;

• Opportunities for professional development and growth in a learning-driven environment.

We value diversity

We promote equal opportunities and diversity and encourage all qualified individuals to apply.