Principal Engineer - Guidance and Control

About the role

ADASI, an end-to-end solution provider in the autonomous systems industry headquartered in the UAE, is looking for an experienced Principal Engineer - Guidance and Control. The role leads the design, development and verification of guidance algorithms, flight-control laws and autopilot functions for advanced aerospace and defence platforms, involving complex control-system analysis, simulation and validation with multidisciplinary engineering teams.

Key responsibilities

• Lead the design and development of guidance algorithms, control laws, autopilot functions and control-allocation systems.
• Perform flight-dynamics modelling, stability analysis, robustness assessment and nonlinear simulations.
• Develop and validate control solutions using MATLAB/Simulink and relevant engineering tools.
• Conduct verification and validation through simulation, SIL/PIL/HIL, ground testing and flight testing.
• Investigate control-system anomalies, performance issues and simulation-to-test discrepancies.
• Ensure requirements traceability, technical documentation and compliance with safety and airworthiness requirements.
• Lead technical work packages, conduct engineering reviews and mentor other engineers.

Required profile

• Bachelor's degree in aerospace, aeronautical, electrical, mechanical, control engineering, robotics, applied mathematics or a related discipline.
• 10+ years of relevant aerospace or safety-critical control-system engineering experience.
• Demonstrated ability to lead complex engineering activities independently.
• Preferred: Master's or PhD; experience with aircraft, UAVs, missiles or spacecraft; knowledge of gain scheduling, uncertainty analysis and guidance algorithms; exposure to SIL/PIL/HIL, ground and flight testing, and aerospace safety and airworthiness processes.

Required skills

• Strong hands-on experience in control-law design, guidance systems, autopilot functions or control allocation.
• Solid understanding of flight dynamics, control theory, stability, robustness and nonlinear simulation.
• Practical experience with MATLAB/Simulink or equivalent tools.
• Experience in control-system verification, simulation and testing.
• Preferred: Python, C/C++, Stateflow and embedded real-time systems.