Guidance Navigation Control Engineer
Department: R&D / Software
Employment Type: Permanent employee
Schedule: Full-time
Seniority: Experienced
Location: Kyiv
STARK is a new kind of defence technology company revolutionizing the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high performance unmanned systems that are software-defined, mass-scalable, and cost effective. This provides our operators with a decisive edge in highly contested environments.We’re focused on delivering deployable, high-performance systems - not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe - today.We are looking for a Guidance Navigation Control Engineer (GNC Engineer) to design and implement advanced algorithms for UAV autonomy. In this role, you will work at the intersection of control theory, navigation, and real-world testing - turning mathematical models into reliable flight behavior.
- Design and implement navigation, guidance, and control algorithms for UAV platforms
- Develop and tune state estimation and sensor fusion pipelines (IMU, GNSS, magnetometer, barometer, etc.)
- Implement and maintain Kalman filter–based estimators (EKF / UKF)
- Develop guidance logic for waypoint following, trajectory tracking, and mission execution
- Design and tune control loops (rate, attitude, velocity, position)
- Ensure stable behavior under disturbances and degraded conditions (wind, sensor noise, partial data loss)
- Work closely with software, hardware, and autonomy teams to align interfaces and constraints
- Validate GNC performance in simulation (SIL / HIL) and during real flight testing
- Analyze flight logs, investigate anomalies, and improve robustness and predictability
- Strong foundation in control theory, linear algebra, and estimation
- Hands-on experience with state estimation and sensor fusion
- Solid understanding of Kalman filtering (EKF required)
- Experience designing and tuning PID-based control systems
- Ability to work with real sensor data, noise, and non-ideal conditions
- System-level thinking and strong debugging skills
- Experience with fixed-wing or VTOL UAVs
- Familiarity with PX4 / ArduPilot
- Experience with MATLAB / Simulink
- Experience with C++ / Python / ROS
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