At the Autonomous Robotics Research Centre (ARRC) of TII, we are seeking a skilled and motivated individual to join our team as a GNC Engineer. In this role, you will be responsible for the development, implementation, and optimization of guidance, navigation, and control systems for unmanned aerial vehicles (UAVs) and autonomous systems.

If you are passionate about advancing the field of GNC and making a significant impact in the development of UAVs and autonomous systems, we invite you to join our dynamic team at TII. Apply today to be part of our innovative research and contribute to shaping the future of autonomous technologies.

Responsibilities:

Guidance Law Development

Design, implement, and evaluate guidance strategies for different phases of flight: loitering, mid-course, and dive/terminal.
Work with classical and modern guidance laws such as Proportional Navigation (PNG), Augmented PNG, L1 guidance, Pure Pursuit (PP), and optimization-based or predictive approaches.
Adapt guidance solutions to handle targets detected by multiple sensor modalities.

System Integration and Software Development

Prototyping of various algorithms in MATLAB/Simulink.
Implement algorithms using industry-grade languages (C++, Python) following software engineering best practices (version control, unit testing, continuous integration).
Integrate guidance algorithms into the overall GNC framework and UAV software stack.
Transition prototype models (e.g., MATLAB/Simulink) into production-ready code suitable for embedded deployment.
ROS/ROS2 C++ development and integration
Write efficient and easy to read code and be ready to review the code from others
Collaborate with navigation, control, and avionics teams to ensure robust end-to-end system performance.

Simulation, Testing, and Validation

Build and maintain high-fidelity simulation environments to compare guidance law performance across operational scenarios.
Contribute to hardware-in-the-loop (HIL) testing and flight test campaigns.
Analyze results, identify performance gaps, and refine algorithms to improve robustness and precision.

Collaboration and Documentation

Work closely with a multidisciplinary team (avionics, integration, platform and flight test) to ensure mission success.
Document guidance designs, test plans, and performance evaluations.
Present findings and recommendations to both technical and program stakeholders.

Required qualifications and skills

Bachelor's or master's degree in aerospace engineering, Electrical Engineering, Robotics, Control or a related field. A Ph.D. is a plus.
Strong knowledge of guidance, navigation, and control principles for autonomous systems.
Proficiency in programming languages such as C/C++, Python, or MATLAB for algorithm development and implementation.
Familiarity with MATLAB/Simulink and automatic code generation tools is a plus.
Best practices of SW development (Git, CI, docker)
Familiarity with control system design tools and software packages, such as Simulink, ROS2, or PX4.
Experience with UAVs or autonomous systems, including flight dynamics, aerodynamics, and flight testing.
Solid understanding of sensor technologies, sensor fusion techniques, and state estimation algorithms.
Excellent analytical and problem-solving skills to troubleshoot and optimize complex systems.
Strong teamwork and communication skills to collaborate effectively with multidisciplinary teams.
Ability to manage multiple priorities, meet project deadlines, and adapt to a fast-paced environment.
Experience with real world applications on autonomous robots
Familiarity with agile methodologies and task management tools (Jira or similar)

Guidance and Control Engineer