Principal Robotics Engineer (Guidance, Navigation, and Control)

EDGE; Abu Dhabi; On-site; AED 240,000 - 360,000; Full time

Job summary

EDGE is seeking an experienced GNC Engineer to design and implement advanced guidance, navigation, and control algorithms for autonomous systems. You will work across hardware and software teams to deliver precise, stable flight performance in demanding environments.

The role requires expertise in control theory, flight dynamics, and sensor integration, with proficiency in MATLAB/Simulink and C++/Python. Collaboration across the organization is essential to achieve robust system integration and

Qualifications

• Bachelor’s degree in a related field; Master’s/PhD preferred.
• 8+ years of GNC design experience in aerospace, defense, UAVs, or autonomous systems.
• Strong understanding of control systems, flight dynamics, and embedded software.
• Proficiency in MATLAB/Simulink, C++, or Python.
• Experience with sensor fusion, simulation, and real-time systems.

Responsibilities

• Guidance: Develop real-time guidance algorithms for trajectory generation, path planning, and mission execution.
• Navigation: Design multi-sensor navigation solutions using GNSS, INS, visual odometry, LIDAR, radar, and altimeters; implement sensor fusion and filtering (Kalman Filters).
• Control: Design and optimize control laws for linear and nonlinear systems; support actuator modeling and real-time deployment.
• System Integration & Testing: Develop GNC simulation environments; support SIL/HIL and flight testing; lead GNC subsystem integration across hardware and software.

Skills

Algorithm development

Real-time systems

Sensor fusion

Embedded software

MATLAB/Simulink

C++/Python

Education

Bachelor’s degree in Computer Engineering/Robotics/Aerospace/Control Systems

Master’s/PhD preferred

Tools

C/C++

MATLAB

Job description

Role Overview

The Guidance, Navigation, and Control (GNC) Engineer is responsible for developing and implementing advanced algorithms that enable autonomous systems to operate with high precision and stability. The role requires expertise in control systems, flight dynamics, and sensor integration, along with collaboration across engineering teams to deliver fully integrated solutions.

External Job Description

Role Overview

The Guidance, Navigation, and Control (GNC) Engineer is responsible for developing and implementing advanced algorithms that enable autonomous systems to operate with high precision and stability. The role requires expertise in control systems, flight dynamics, and sensor integration, along with collaboration across engineering teams to deliver fully integrated solutions.

Key Responsibilities

Guidance

• Develop real-time guidance algorithms for trajectory generation, path planning, and mission execution
• Optimize performance for efficiency, safety, and adaptability in dynamic environments

Navigation

• Design multi-sensor navigation solutions using GNSS, INS, visual odometry, LIDAR, radar, and altimeters
• Implement sensor fusion and filtering techniques (e.g., Kalman Filters) for accurate positioning
• Validate and tune navigation systems through simulation and field testing

Control

• Design and optimize control laws for linear and nonlinear systems, ensuring stability across all flight regimes
• Support actuator modeling, control surface tuning, and real-time deployment
• Collaborate with avionics and software teams for embedded implementation

System Integration & Testing

• Develop GNC simulation environments for performance evaluation
• Support SIL, HIL, and flight testing for validation and optimization
• Lead GNC subsystem integration across hardware and software interfaces

Education & Qualifications

• Bachelor’s degree in Computer Engineering, Robotics, Aerospace, Control Systems, or related field (Master’s/PhD preferred)
• 8+ years of experience in GNC design within aerospace, defense, UAVs, or autonomous systems
• Strong understanding of control systems, flight dynamics, and embedded software
• Proficiency in MATLAB/Simulink, C++, or Python
• Experience with sensor fusion, simulation, and real-time systems