Engineering Manager (Control Sysytems)
Core
Lead and build a control systems team responsible for the mathematical theory of drone control and real-world flight behavior, ensuring stability in combat conditions.
Role type
Engineering Manager (Control Systems)
Builds
Control algorithms for autonomous drones, from model/simulation to flight tests and serial products.
Domain
Defense technology / Robotics / Aerospace
Deliverable
production ML models
Required skills
Control theory (classical and modern), State-space modeling, Stability analysis, C++, Python, MATLAB/Simulink, Gazebo, People management, Technical roadmap planning, Validation and verification processes
Preferred skills
Flight controller ecosystems (PX4, ArduPilot), Embedded/real-time systems, Sensor fusion, Autonomous navigation, Defense/aerospace industry experience, Building teams from scratch, Master's or PhD in Control Theory/Robotics/Aerospace
Technologies
C++, Python, MATLAB/Simulink, Gazebo, PID, LQR, MPC, EKF, UKF
Responsibilities
Form, develop, and scale the control engineering team; Define technical roadmap and review key architectural decisions; Hands-on participation in critical technical tasks like algorithm tuning and stability analysis; Build the full-cycle development process from model to flight tests; Coordinate flight tests with test pilots and field teams; Collaborate with Navigation, Hardware, and Embedded teams; Report status, risks, and needs to leadership.
Seniority
Senior, hands-on IC with people management
