Senior Engineer - Guidance Navigation and Control

Date: 7 Oct 2026

Company: EDGE Group PJSC

Headquartered in the United Arab Emirates, EDGE is a leading advanced technology group working at the forefront of defence and emerging technologies. Spanning more than 35 specialised companies and multiple centres of excellence, we are purpose-built to move fast. Free from heavy legacy processes, we give our people the autonomy, accountability, and agility to bring breakthrough technologies from concept to reality.

Together, we are shaping the future.

We are looking for a Senior Engineer
- Guidance, Navigation & Control (GNC) to join our aerospace engineering team and take technical ownership of guidance and flight-control solutions for advanced aerospace vehicles.

The role covers the full GNC lifecycle, from requirements definition, modelling and control-law design through simulation, integration, verification, HIL and flight-test support. You will work closely with multidisciplinary teams across flight dynamics, aerodynamics, navigation, avionics, software, systems, safety and flight test.

This is a hands-on technical leadership role for an engineer who can independently solve complex control problems, make sound engineering trade-offs, and mentor other engineers.

• Develop and validate guidance, control laws, autopilot functions and control-allocation algorithms for aerospace vehicles.
• Derive GNC requirements from aircraft-level, mission, safety, performance and flying-quality requirements.
• Design longitudinal, lateral-directional and coupled-axis control laws, including inner/outer loops, gain scheduling, command shaping and mode management.
• Develop guidance algorithms and ensure commands are dynamically feasible within vehicle, actuator and safety limits.
• Develop and analyse trim models, linear/state-space models, nonlinear 6-DOF models and uncertainty models.
• Perform stability, robustness, modal, time-domain and frequency-domain analysis.
• Conduct Monte Carlo, worst-case, sensitivity and failure-case analyses.
• Assess the impact of actuator/sensor dynamics, delays, filtering, saturation, rate limits, computational constraints and uncertainties.
• Support SIL, PIL, HIL, pilot-in-the-loop and flight-test activities as applicable.
• Investigate control-system issues including oscillations, instability, saturation, mode-transition problems and simulation/flight-test discrepancies.
• Support ground and flight-test planning, execution and analysis.
• Prepare technical requirements, design descriptions, analysis and verification reports, release documentation and limitation statements.
• Support major aerospace design and readiness reviews including SRR, PDR, CDR, TRR and flight-readiness reviews.
• Mentor engineers and contribute to reusable GNC architectures, algorithms and verification methods.

• Bachelor's degree in Aerospace, Aeronautical, Electrical, Mechanical, Control, Robotics, Applied Mathematics or a closely related discipline.
• 10+ years of relevant experience in aerospace or comparable safety-critical control-system development.
• Demonstrated hands-on experience designing and validating control laws, guidance functions, autopilot systems or control-allocation solutions for aircraft, UAVs, missiles, spacecraft or comparable dynamic systems.
• Strong understanding of rigid-body dynamics, state-space modelling, linearization, trimming, modal analysis and frequency-domain analysis.
• Strong knowledge of classical and modern control-design techniques.
• Experience with gain scheduling, nonlinear simulation, robustness analysis and uncertainty assessment.
• Experience with MATLAB/Simulink and Python, C or C++.
• Experience with verification and validation through simulation and/or SIL, PIL, HIL or flight testing.
• Understanding of embedded software, real-time systems, configuration management and requirements management.
• Strong technical communication skills with professional proficiency in English

• Master's degree or PhD in Flight Control, Guidance & Control, Aerospace Engineering, Autonomous Systems, Robotics or a related field.
• Experience with advanced control techniques including LQR/LQG, H∞/μ-analysis, dynamic/nonlinear inversion, MPC, adaptive or sliding-mode control.
• Experience with control allocation, effector management, envelope protection, fault handling and degraded-mode/reconfiguration strategies.
• Strong experience with 6-DOF nonlinear simulation, Monte Carlo, worst-case and sensitivity…