Control Systems R&D Engineer (UAV)

About the Position

We are seeking a Control Systems R&D Engineer for UAVs with experience in automatic control theory and practical experience with physical systems. We are primarily looking for a Middle-level engineer, but we will also consider a strong Junior with a solid foundation in automatic control theory and hands-on experience with a physical system. Experience can be commercial, research-based, academic, or from a personal project. Engineers from robotics, mechatronics, electric drive control, industrial automation, or automotive control systems are welcome. Experience with UAVs, autopilots, and C++ is not mandatory at the start. The team will provide context for the platform, autopilot, and integration. We expect independence in working with control models and algorithms.

Responsibilities

• Build and verify dynamic system models.
• Develop and improve control and stabilization algorithms.
• Consider noise, delays, discretization, saturation, and other real-system constraints.
• Analyze simulation results, experiments, and telemetry.
• Integrate algorithms with autopilot and embedded systems engineers into onboard software.
• Participate in SIL/HIL verification, bench tests, and flight trials.

Requirements

• Ability to apply classical automatic control theory and state-space models.
• Knowledge of mechanics, differential equations, and solid body dynamics.
• Personal experience in implementing or significantly tuning at least one control loop on real equipment, including a lab setup.
• Proficiency in Python or MATLAB/Simulink.
• Understanding of the impact of sampling frequency, delays, noise, saturation, and discrepancies between the model and the control object.
• Ability to distinguish control algorithm issues from sensor, delay, actuator, or model problems based on models, telemetry, and experimental results.
• Willingness to learn C++ for integrating algorithms into onboard software.

Nice to Have

• Ability to apply classical automatic control theory and state-space models.
• Knowledge of mechanics, differential equations, and solid body dynamics.
• Personal experience in implementing or significantly tuning at least one control loop on real equipment, including a lab setup.
• Proficiency in Python or MATLAB/Simulink.
• Understanding of the impact of sampling frequency, delays, noise, saturation, and discrepancies between the model and the control object.
• Ability to distinguish control algorithm issues from sensor, delay, actuator, or model problems based on models, telemetry, and experimental results.
• Willingness to learn C++ for integrating algorithms into onboard software.

We Offer

• Competitive salary
• Full-time position
• Opportunity to work on cutting-edge UAV technology

About the Company

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