Lead Digital Signal Processing Engineer (Aerospace)

TL;DR

Lead Digital Signal Processing Engineer (Aerospace): Leading the development of mathematical architecture for inertial measurement units and autonomous flight systems with an accent on real-time embedded C++ implementation and sensor fusion. Focus on designing high-speed control loops, implementing Extended Kalman Filters, and integrating AI-driven signal optimization for next-generation UAV technology.

Location: Hybrid role based in Zürich, Switzerland

Company

hirify.global is a pioneering aerospace company revolutionizing the defense industry with advanced, high-speed Unmanned Aerial Vehicles (UAVs) for mission-critical operations.

What you will do

• Lead the mathematical architecture development for in-house inertial measurement unit technology.
• Build and maintain digital twin models to simulate and optimize sensor behavior.
• Design and implement high-speed control loop algorithms for real-time embedded applications.
• Develop Extended Kalman Filters and sensor fusion algorithms using C++.
• Integrate AI-driven approaches for noise reduction and intelligent signal optimization.
• Collaborate with hardware, FPGA, and flight control teams to bridge theory and real-world application.

Requirements

• M.Sc. or Ph.D. in Electrical Engineering, Robotics, Control Systems, or related field.
• Expert-level proficiency in C++ for real-time embedded systems and RTOS.
• Strong experience with Python, MATLAB, or Simulink for modeling and simulation.
• Deep understanding of digital signal processing, control theory, and sensor fusion.
• Experience with inertial navigation systems and embedded hardware interfaces.
• Proven track record in aerospace, robotics, or defense applications.