Digital Signal Processing Engineer

As Lead Digital Signal Processing Engineer, you will shape the mathematical backbone of our inertial measurement technology and real-time flight control. You’ll develop and optimize DSP architectures, sensor fusion, and state estimation to boost navigation accuracy in demanding aerospace environments. The role blends theory and hands-on engineering across hardware, firmware, and AI-driven optimization, with a focus on scalable, robust solutions. You will collaborate with cross-functional teams to advance autonomous navigation across the Destinus platform, delivering meaningful impact for defense-grade flight systems.

• Lead the development of the mathematical architecture for in-house inertial measurement unit technology
• Create and maintain digital twin models to simulate sensor behavior and system performance
• Design and implement high-speed control loop algorithms for real-time embedded applications
• Develop Extended Kalman Filters and sensor fusion algorithms in C++ to improve navigation accuracy
• Integrate AI-driven approaches for noise reduction, thermal compensation, and intelligent signal optimization
• Analyze raw sensor data to validate performance and establish benchmarks
• Collaborate with hardware, FPGA, embedded software, AI, and flight control teams to bridge theory and practice
• Contribute to evolution of autonomous navigation and guidance systems across the Destinus platform

• M.Sc. or Ph.D. in Electrical Engineering, Robotics, Control Systems, Mathematics, Physics, or related field
• Expert-level proficiency in C++ for real-time embedded systems and RTOS environments
• Strong experience with Python, MATLAB, or Simulink for modelling and algorithm development
• Deep understanding of digital signal processing, control theory, and sensor fusion
• Experience with inertial navigation systems and familiarity with gyro bias stability, random walk, and scale factor linearity
• Solid understanding of embedded hardware systems including high-speed SoCs and FPGA-to-ARM interfaces
• Experience developing robust algorithms for high-performance aerospace, robotics, automotive, or defense applications
• Strong analytical mindset with ability to translate complex physical systems into scalable mathematical solutions

• collaborative
• curious
• results-driven
• C++ for real-time embedded systems
• Python
• MATLAB