Guidance Navigation Control Engineer
Stark
Posted: January 6, 2026
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Quick Summary
Design and develop high-performance unmanned systems for NATO Allies and Partners.
Required Skills
Job Description
About Us:
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.
Your mission:
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.
Responsibilities:
• 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
Qualifications:
• 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
Nice to have:• Experience with fixed-wing or VTOL UAVs
• Familiarity with PX4 / ArduPilot
• Experience with MATLAB / Simulink
• Experience with C++ / Python / ROS