Autonomous Flight Systems Engineer

12 hours ago


Fatih, Istanbul, Turkey OneSec Full time

We are a drone delivery startup developing an advanced VTOL drone equipped with AI-driven 3D mapping, a unique propulsion system, and autonomous navigation capabilities. Our system integrates custom hardware, a high-performance flight controller, and AI-driven path planning to revolutionize last-mile logistics.

Job Overview

We are seeking a Guidance, Navigation, and Control (GNC) Engineer to develop and optimize our drone's autonomous flight capabilities. You will work on state estimation, control algorithms, and navigation systems to ensure precise and efficient flight in complex environments.

Key Responsibilities:

  • Design and implement guidance, navigation, and control algorithms for autonomous flight.
  • Develop and optimize state estimation techniques using IMU, GPS, barometer, and vision-based SLAM.
  • Implement and tune flight control systems, including INDI, PID, LQR, and model predictive control.
  • Integrate and test AI-driven path planning and obstacle avoidance algorithms.
  • Simulate and validate GNC models using tools like Gazebo, MATLAB, or Unity.
  • Collaborate with hardware and software teams to integrate GNC components into the full drone system.
  • Conduct flight tests, analyze performance, and refine algorithms based on real-world data.

Requirements:

  • Strong background in control theory, flight dynamics, or path planning.
  • Experience with sensor fusion (IMU, GPS, vision-based navigation).
  • Proficiency in C++ for real-time embedded systems.
  • Experience with ROS, PX4, ArduPilot or similar.
  • Knowledge of Kalman filters (EKF/UKF), PID, and model-based control techniques.
  • Hands-on experience with drone simulation and flight testing.
  • Experience with AI-based navigation and reinforcement learning for control.
  • Knowledge of A* or RRT path planning algorithms with Bezier curve smoothing.
  • Familiarity with SLAM, vision-based navigation, and sensor calibration.
  • Experience integrating AI accelerators for real-time perception.
  • Embedded Software Experience
  • Embedded Linux Experience


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