Software Engineer

Description

Airobotics is a leading company specializing in the development and manufacturing of autonomous drone systems. Its solutions combine hardware, software, and AI-driven technologies to support complex, large-scale operations. Airobotics works primarily with defense industries, such as military and law enforcement agencies worldwide. The company is part of Ondas Holdings and operates as a wholly owned subsidiary.

We are seeking for a Real Time Engineer to develop our Mission Control (MC) logic—the core software guiding our interceptor aircraft. You will bridge the gap between theoretical guidance algorithms and field operations, implementing the logic that governs vehicle behavior. This role involves significant hands-on work with complex communication systems ,hardware, standardized simulation environments (SITL), and field validation.

Responsibilities

• Guidance & Logic: Implement and refine navigation strategies, and autonomy software for unmanned aerial systems (UAS).
•  System Integration: Integrate autonomy with Pixhawk flight controllers and NVIDIA Jetson onboard computers, managing the state machine that dictates vehicle behavior.
• Field Operations: Participate in field trials to validate logic on real hardware, debugging interactions between software, sensors, and aerodynamics.
•  Protocol Management: Optimize MAVLink communications between the mission computer and the flight controller.
•  Modernization: Maintain critical control loops while implementing modern, asynchronous architectures.

Requirements

• 4+ years of engineering experience, with a focus on aviation, robotics, or real-time control systems.
• Proficiency in C++ and Python for real-time applications (threading, multiprocessing).
• Hardware Integration: Experience working with Pixhawk autopilots and NVIDIA Jetson platforms.
• Control Theory: Solid grasp of PID loops, coordinate frames (NED/ECEF), and navigation math.

Advantages

• Background in defense/aerospace sectors working on guidance systems.
• Familiarity with containerized simulation environments.
• Flight Stack Knowledge: Hands-on experience with ArduPilot, PX4, or similar flight stacks.
• Experience with simulation environment SITL.