Your mission

• Develop realistic simulation environments for UAV behavior testing and swarm coordination
• Implement physics-based models for flight dynamics, sensor fusion, and obstacle avoidance
• Create virtual testbeds for UAV autonomy, reinforcement learning, and mission planning
• Integrate multi-agent swarm simulation for real-time UAV coordination and decision-making
• Work with HIL (Hardware-in-the-Loop) and SIL (Software-in-the-Loop) frameworks
• Optimize AI-driven simulation workflows for UAV perception and control validation
• Collaborate with AI, robotics, and embedded teams to ensure simulation-to-reality consistency

Your profile

• 3+ years experience in robotics simulation and UAV modeling
• Strong expertise in Gazebo, AirSim, PyBullet, CARLA, or Unreal Engine for UAV simulation
• Proficiency in C++, Python, or Rust for real-time simulation development
• Experience with ROS2, DDS, and real-time UAV control frameworks
• Knowledge of multi-agent reinforcement learning (MARL) and AI-driven simulation environments
• Understanding of sensor modeling for Radar, Lidar, EO/IR, RF, and Acoustic systems

• Experience in high-fidelity aerodynamics modeling and UAV swarm behavior
• Background in AI-powered scenario generation and adversarial simulation
• Knowledge of cloud-based distributed simulation environments