# Principal Engineer - Navigation Systems (SME) at EDGE Group

EDGE Group is hiring a Principal Engineer - Navigation Systems (SME) in Abu Dhabi, United Arab Emirates. Level rates it Little AI ●○○○; you can [apply on EDGE Group](https://jobsbylevel.com/go/57b3b4d5-1cea-4dc0-a618-a1f3c71eab30?utm_medium=ai-agent).

AI Level 1, AI centrality 0 out of 100. Abu Dhabi, Abu.

## Details

- Company: [EDGE Group](https://jobsbylevel.com/companies/edge-group)
- AI level: AI Level 1 (score 0 out of 100)
- Location: Abu Dhabi, Abu
- Posted: November 6, 2026
- Apply: https://jobsbylevel.com/go/57b3b4d5-1cea-4dc0-a618-a1f3c71eab30?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=principal-engineer-navigation-systems-sme-at-edge-group-2971fe

## Prepare for this job

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## Description

ABOUT EDGE At EDGE bold ideas are engineered into technologies that protect, improve and save lives. 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. Based in Abu Dhabi, a globally connected hub at the crossroads of Europe, Asia, Africa, and the Middle East, EDGE is home to a truly multicultural community where bold ideas thrive, and the future is shaped. Together, we are shaping the future. ABOUT THE ROLE The Principal Navigation Engineer will provide technical leadership for the development, integration, analysis, and verification of advanced aerospace navigation systems. The role will own navigation requirements, architectures, algorithms, sensor fusion, performance analysis, and verification activities across the development lifecycle, including nominal, degraded, and GNSS-denied operating conditions. RESPONSIBILITIES Develop, integrate, tune, and verify navigation algorithms and sensor-fusion solutions. Define navigation requirements, architectures, error budgets, and verification criteria. Develop inertial mechanization, alignment, calibration, estimation, aiding, and fault-management functions. Analyze navigation accuracy, integrity, continuity, availability, latency, initialization, and drift. Perform Monte Carlo, covariance, observability, sensitivity, uncertainty, and robustness analyses. Support MIL, SIL, PIL, HIL, laboratory, ground, and flight-test activities. Analyze test data and investigate navigation anomalies, sensor disagreement, timing errors, and estimator divergence. Develop fault-detection, isolation, exclusion, reconfiguration, and recovery logic. Produce technical documentation, analysis reports, verification evidence, and lifecycle review inputs. Coordinate with GNC, Avionics, Software, RF, Simulation, Systems Engineering, Safety, Integration, and Flight Test teams. Mentor engineers and provide technical leadership and peer review. BASIC QUALIFICATIONS Bachelor’s degree in Aerospace, Electrical/Electronic, Control, Mechanical, Mechatronics, Robotics, Computer Engineering, Applied Mathematics, or a closely related discipline. 10+ years of relevant experience in aerospace, defense, robotics, autonomous systems, or safety-critical engineering, including substantial navigation experience. Hands-on experience with inertial, GNSS, aided, alternative, or resilient navigation systems. Strong knowledge of navigation algorithms, estimation filters, sensor-error modelling, calibration, alignment, integrity monitoring, and fault detection. Proficiency in MATLAB and Simulink. Experience with navigation simulation, data analysis, and performance verification. Experience with MIL, SIL, PIL, HIL, laboratory, ground-test, and/or flight-test activities. Demonstrated ability to lead navigation functions, algorithms, subsystems, or technical work packages. Professional proficiency in written and spoken English. PREFERRED QUALIFICATIONS Master’s degree or PhD in Navigation, Guidance and Control, Estimation, Sensor Fusion, Autonomous Systems, Signal Processing, or a related field. Experience with GNSS-denied, jammed, spoofed, or resilient navigation. Advanced knowledge of Kalman filters, error-state EKF, UKF, observers, covariance management, innovation monitoring, and observability analysis. Experience with alternative aiding such as air data, radar/laser altimeters, Doppler velocity, terrain-referenced, vision-based, celestial, or cooperative navigation. Experience with Monte Carlo, covariance, sensitivity, uncertainty, robustness, and fault-injection analysis. Experience with six-degree-of-freedom simulation and recorded-data replay. Experience with

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