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Aerospace Engineer II

2 months ago


Abu Dhabi, Abu Dhabi, United Arab Emirates Geospatial And Cloud Analytics Inc Full time
About the Role

We are seeking a highly skilled Aerospace Engineer II to join our Advanced Concepts team at Geospatial And Cloud Analytics Inc. As a key member of our team, you will be responsible for developing and implementing advanced control systems for aerospace vehicles.

Key Responsibilities
  • Mathematical Modeling: Develop and apply mathematical models for flight dynamics and control systems of aerial platforms and missiles, utilizing knowledge of differential equations and system theory under various operational conditions.
  • Algorithm Development: Assist in the innovation and refinement of Guidance, Navigation, and Control (GNC) algorithms for aerospace vehicles, applying principles of classical and modern control theory such as PID, state feedback, adaptive control, and robust control strategies.
  • Flight Control Systems: Collaborate in the implementation of algorithms aimed at enhancing the precision, stability, and performance of flight control systems, with a focus on precision maneuvering and stability during all flight phases.
  • System Design: Contribute to the design and analysis of systems for effective endgame targeting and the development of midcourse guidance strategies, incorporating trajectory shaping and threat avoidance to optimize mission outcomes.
  • AI and ML Applications: Apply foundational AI and ML techniques, including deep learning and reinforcement learning, to assist in optimizing mission planning, threat assessment, and decision-making in real-time aerospace operations.
  • Swarm Operations: Support the development of decentralized swarming algorithms grounded in AI principles such as graph theory and game theory, contributing to the scalability and fault tolerance of swarm operations.
  • Pixhawk Flight Controller: Specialization in Pixhawk Flight Controller, including familiarity with the Pixhawk architecture, software development framework (PX4 or Ardupilot), and associated tools (QGroundControl or Missionplanner).
Requirements
  • Experience: 4+ years of experience in control engineering, with exposure to flight dynamics, control system design, and the application of AI/ML in navigation or related fields.
  • Education: BSc or Master's degree in Aerospace Engineering, Electrical Engineering, Computer Science, or related fields, with specialization in control systems, flight dynamics, or applied mathematics.
  • Knowledge: Knowledge in aerospace system dynamics, control theory, and aerodynamics.
  • Skills: Proficiency in simulation and modeling tools (e.g., MATLAB/Simulink, ANSYS, or similar), programming languages (C/C++, Python, Julia), and AI/ML frameworks (TensorFlow, PyTorch).
  • AI/ML Experience: Experience with AI/ML techniques relevant to aerospace operations and a willingness to learn and apply advanced methods.