GNC Engineer

Elbit Systems Israel · roshhaayin

We are looking for A GNC Engineer to join our team at the company site in Rosh HaAyin and take a central role in developing the guidance, navigation, control, and estimation capabilities that drive our advanced unmanned aerial platforms. Fuse develops cutting-edge unmanned aerial systems based on the PX4 architecture, with significant in-house enhancements across the flight stack, autonomy layer, and mission capabilities. You will work on real vehicles, real constraints, and real operational challenges — from algorithm design and software implementation through integration, tuning, validation, and flight testing. This is your opportunity to shape the core algorithms and software that directly impact airborne system performance, working closely with embedded software, autonomy, system engineering, and flight test teams. In this role you will Design, develop, and maintain guidance, navigation, and control (GNC) algorithms for unmanned aerial systems Develop and improve core flight capabilities within a custom PX4-based autopilot, including in-house modifications and advanced mission features Design, implement, tune, and validate control, guidance, and state estimation algorithms to meet demanding performance and robustness requirements Analyze flight logs, simulation results, and test data to investigate anomalies, identify root causes, and drive corrective actions Define and review system and software requirements for GNC-related functions Support integration of GNC capabilities with sensors, mission logic, autonomy modules, and onboard software Collaborate with flight test and system engineering teams to plan tests, evaluate performance, and iterate rapidly Contribute to simulation, SITL/HITL, and automated validation workflows Requirements B.Sc. or M.Sc. in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field 2+ years of relevant experience in GNC, flight control, state estimation, robotics, or autonomous aerial systems Strong understanding of flight dynamics, control theory, navigation, and estimation Proven experience with autopilots, avionics systems, unmanned systems, or flight control software Strong programming skills in C/C++ Good proficiency in Python for analysis, tooling, simulation, or automation Experience developing on Linux Familiarity with PX4 or a comparable autopilot framework - advantage Experience with flight log analysis, controller tuning, and debugging real-world system behavior - advantage Experience with Kalman filtering, sensor fusion, or advanced navigation algorithms - advantage Experience with ROS/ROS2 - advantage Background in embedded systems or microcontroller-based development - advantage Strong problem-solving skills and the ability to work effectively in multidisciplinary teams *Only relevant applications will be answered

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