Autonomous Drone Engineer

주요업무

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 fi Iters, and sensor fusion techniques. . Implement SLAM, visual-inertial odometry (VIO), and GPS-denied navigation pipelines. . Integrate Al-based modules (e.g., object detection, object tracking, terrain recognition) into onboard navigation sys-tems. . Simulate missions using Gazebo, AirSim and deploy on real UAVs (e.g., PX4, ArduPilot with Pixhawk or CubePilot). 2. Swarm Intelligence & Al 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 Al algorithms (e.g., multi-agent rein- forcement learning, distributed perception) for swarm intel-ligence. . Simulate swarm behaviors and validate strategies in tools such as Gazebo or Airsim. . Deploy swarm systems and Al models to edge devices (e.g., NVIDIA Jetson family) and run tests on real drone fleets.

자격요건

• 학력 : 대졸이상 . Bachelor's or Master's in Robotics, Aerospace, Mechatron-ics, Computer Science, or a related fi eld. . Passion for drones, autonomous systems, and swarm ro-botics. . 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 fl ight control stacks(e.g., PX4, ArduPilot). . Solid understanding of Al fundamentals and real-time sys-tems. . Passion for building real-world autonomous drone systems. . Strong communication and collaboration skills in English.

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-Al hardware such as NVIDIA Jetson family. . Contributions to robotics open-source projects or drone competitions.

기술스택

C++, Python

채용절차

서류전형 > 1차 면접 > 2차 면접 > 임원면접 > 최종합격 • 고용 형태 : 정규직(수습 3개월) • 근무지 주소 : 서울 구로구 디지털로31길 12 (구로동, 태평양물산) 넥스트데이 • 근무 요일/시간 : 주5일(월~금) 09:00 ~ 18:00