Controls & Dynamics Engineer (UAV)

Location: Onsite in Vaughan, Ontario, Canada

Company

hirify.global delivers piloted and remotely piloted aircraft systems and aerial intelligence solutions for defense, infrastructure, energy, public safety, and logistics.

What you will do

• Configure and tune control loops to improve UAV stability, tracking accuracy, disturbance rejection, and flight-mode transitions.
• Develop guidance and trajectory-control strategies for take-off, approach, hover, manoeuvring, landing, and mission-specific behaviours.
• Model aircraft and payload dynamics, including payload mass, distribution, mounting, movement, suspended loads, and aircraft-payload coupling.
• Develop mission sequencing, mode transitions, pilot handover, recovery behaviours, and control strategies for moving targets and recovery locations.
• Build dynamic models, identify system parameters, and evaluate changes through software-in-the-loop and hardware-in-the-loop testing.
• Analyse flight logs and telemetry, support flight tests, define acceptance criteria, and maintain traceable tuning and test documentation.

Requirements

• Bachelor’s degree in aerospace, mechanical, electrical, mechatronics, controls engineering, or a related discipline.
• At least 3 years of professional control-systems engineering experience with UAVs, aircraft, robotics, or comparable dynamic systems, including physical hardware.
• Strong knowledge of flight and load dynamics, feedback control, stability analysis, system identification, and signal processing.
• Proficiency with MATLAB/Simulink, Python, or equivalent engineering analysis tools.
• Working knowledge of autopilot architectures, sensor interfaces, state estimation, coordinate frames, and real-time control systems.
• Familiarity with PX4, ArduPilot, Veronte, or comparable flight-control systems, plus strong troubleshooting, technical writing, and communication skills.

Nice to have

• Experience with rotary-wing or heavy-lift UAVs, suspended loads, tether dynamics, or aircraft-payload coupling.
• Knowledge of model predictive, robust, adaptive, or advanced flight-control methods.
• Experience with vision-based tracking, GNSS/RTK, inertial measurements, telemetry, C/C++, embedded systems, or companion computers.
• Experience with automated flight-log analysis, simulation-based regression testing, repeatable tuning workflows, RPAS flight testing, risk assessment, or safety-critical systems.

Culture & Benefits

• Onsite work with a standard schedule of 40 hours per week, typically Monday to Friday.
• Flexibility may be required to support operational needs and time-sensitive activities.
• Competitive salary, comprehensive group benefits, and a group RRSP.
• Collaborative work with a global engineering and flight-operations team on aerospace projects.
• Accommodation is available throughout the recruitment process upon request.