Integration Engineer (AE)

You'll be joining a team that specializes in bringing together diverse technology components to drive our civil aerial robotics projects.

We focus on merging the work of research teams to create functioning prototypes that are ready for real-world application.

Our primary aim is to transform initial concepts into practical, operational solutions.

If you're passionate about turning innovative ideas into effective, tangible technology in the field of aerial robotics, this is the place for you.

Autopilot Management: Setup, maintain, and fine-tune autopilots for various drone platforms, ensuring optimal performance.

Payload Integration: Install, configure, and test diverse payloads - including imaging (RGB, multispectral, thermal), sensing (LiDAR, SAR, environmental sensors), and actuation (spraying, seeding, custom tools) - to meet mission needs.

Autonomy & Mission Integration: Configure and adapt autonomy modules and SDK-based systems to enable mission execution and automated operations.

Required Skills: Experience: Minimum 2 years in flight control, UAV integration, or related fields.

Autopilot & Frameworks: Hands-on expertise with PX4, ArduPilot, DJI SDKs (or equivalents), plus simulation and middleware tools such as Gazebo and ROS2.

Programming: Proficiency in C, C++, and Python for embedded development, system integration, and toolchain scripting.

UAV Systems Knowledge: Practical experience across different autopilot platforms, payloads, and communication protocols.

Technical Tools: Strong skills in software/hardware debugging, simulation environments, and integration workflows for flight control systems.

Flight Experience (Nice-to-Have): Experience operating drones with the appropriate pilot license is a strong asset.

Requirements Master’s degree in Aerospace Engineering, Electrical Engineering, Computer Science, or a related field.