Avionics Engineer

LODD Autonomous; Abu Dhabi; On-site; AED 80,000 - 120,000; Full time

Job summary

An innovative firm is seeking a skilled Avionics Engineer to design and implement advanced avionics architectures. This role involves developing sensor fusion algorithms that enhance reliability and situational awareness by integrating data from multiple sensors. The ideal candidate will have a strong background in avionics system design, compliance with aerospace safety standards, and experience in real-time embedded systems. Join a team that values cutting-edge technology and collaboration, and contribute to the future of aviation safety and performance.

Qualifications

• 5+ years of experience in avionics system design and sensor fusion development.
• Proficiency in developing sensor fusion algorithms using Kalman filters and machine learning.

Responsibilities

• Design and implement redundant avionics architectures for fault tolerance.
• Develop sensor fusion algorithms integrating data from various avionics sensors.

Skills

Avionics System Design

Sensor Fusion Development

Kalman Filters

Machine Learning Techniques

Aerospace Safety Standards

Analytical Skills

Education

Bachelor's or Master's in Aerospace Engineering

Bachelor's or Master's in Electrical Engineering

Bachelor's or Master's in Computer Science

Tools

C/C++

Python

MATLAB/Simulink

HIL Testing

Job description

Job Summary: As an Avionics Engineer, you will be responsible for designing and implementing robust avionics architectures that ensure high levels of redundancy and fault tolerance. You will develop sensor fusion algorithms that integrate data from multiple avionics sensors, improving system reliability, accuracy, and situational awareness. This role requires deep expertise in avionics hardware, software integration, and aerospace safety standards.

Key Responsibilities:

1. Design and implement redundant avionics architectures to ensure system resilience and fault tolerance.
2. Develop and integrate sensor fusion algorithms for avionics systems, combining data from IMUs, GPS, radar, LiDAR, and other sensors.
3. Collaborate with flight control, autonomy, and software teams to enhance sensor fusion performance for navigation and control.
4. Conduct system-level trade studies to optimize redundancy strategies and mitigate single points of failure.
5. Implement real-time data processing techniques to enhance sensor accuracy and fault detection.
6. Ensure compliance with aerospace safety and certification standards (e.g., DO-178C, DO-254, ARP4754A).
7. Support hardware-in-the-loop (HIL) and flight test campaigns to validate sensor fusion algorithms and redundant system performance.
8. Perform failure mode and effects analysis (FMEA) to identify and mitigate avionics system risks.
9. Stay up to date with emerging avionics technologies and contribute to future system designs.

Qualifications & Experience:

• Bachelor's or Master's degree in Aerospace Engineering, Electrical Engineering, Computer Science, or a related field.
• 5+ years of experience in avionics system design, redundancy, or sensor fusion development.
• Strong understanding of avionics sensors such as IMUs, GPS, radar, LiDAR, and air data systems.
• Proficiency in developing sensor fusion algorithms using Kalman filters, Bayesian inference, or machine learning techniques.
• Experience with avionics networking protocols (ARINC 429, MIL-STD-1553, CAN, Ethernet).
• Knowledge of safety-critical systems and aerospace certification standards (DO-178C, DO-254).
• Hands-on experience with real-time embedded systems and software development in C/C++, Python, or MATLAB/Simulink.
• Experience with hardware-in-the-loop (HIL) testing and system validation techniques.
• Strong analytical skills and the ability to work in a multidisciplinary team.

Preferred Qualifications:

• Experience with autonomous flight systems and mission-critical avionics.
• Familiarity with AI/ML-based sensor fusion techniques.
• Knowledge of space-grade avionics and radiation-hardened systems (if applicable).