Autonomous Drone & Swarm Intelligence Engineer

주요업무

About the Role We are looking for a highly motivated Autonomous Drone & Swarm Intelligence Engineer to help build the brain of our next-generation UAV systems. You will work on cutting-edge technologies, from individual drone autonomy to complex multi-agent swarm coordination, deploying real-time AI on the edge. If you’re passionate about drones, robotics, and intelligent systems, and thrive in a fast-paced environment, we would love to hear from you. Key Responsibilities You will work on a combination of these areas depending on your background and our project phase: 1. Autonomous Flight & Navigation Design and implement obstacle avoidance and navigation algorithms for UAVs. Tune control systems using PID, Kalman filters, and sensor fusion techniques. Implement SLAM, visual-inertial odometry (VIO), and GPS-denied navigation pipelines. Integrate AI-based modules (e.g., object detection, object tracking, terrain recognition) into onboard navigation systems. Simulate missions using Gazebo, AirSim and deploy on real UAVs (e.g., PX4, ArduPilot with Pixhawk or CubePilot). 2. Swarm Intelligence & AI Integration Design and implement decentralized algorithms for swarm coordination and collaborative autonomy. Implement real-time drone-to-drone communication and decision-making in multi-agent systems. Develop and deploy AI algorithms (e.g., multi-agent reinforcement learning, distributed perception) for swarm intelligence. Simulate swarm behaviors and validate strategies in tools such as Gazebo or Airsim. Deploy swarm systems and AI models to edge devices (e.g., NVIDIA Jetson family) and run tests on real drone fleets.

자격요건

Bachelor’s or Master’s in Robotics, Aerospace, Mechatronics, Computer Science, or a related field. Passion for drones, autonomous systems, and swarm robotics. Proficiency in Python and/or C++. Strong background in control theory (e.g., PID, LQR) and sensor fusion (e.g., EKF, UKF). Experience with UAV platforms and flight control stacks (e.g., PX4, ArduPilot).

우대사항

Experience with SLAM and visual-inertial odometry for UAV applications. Experience with multi-agent systems, swarm robotics, or distributed algorithms. Experience with ROS/ROS2 and integrating with physical drone platforms. Familiarity with machine learning frameworks (PyTorch, TensorFlow). Prior work on embedded edge-AI hardware such as NVIDIA Jetson family. Contributions to robotics open-source projects or drone competitions.

기술스택

C++, Python

채용절차

서류전형 > 1차 면접 > 2차 면접 > 최종합격 1차 면접: 코딩 테스트 및 기술 평가(토론 형식) 2차 면접: 컬처핏 인터뷰 이력서에는 참여한 프로젝트의 역할과 주요 업무를 구체적으로 작성 요망\