Destinus

aerospace

LeadDigitalSignalProcessingEngineer

Zürich, Zurich, Switzerland
The Brief

“Lead Digital Signal Processing Engineer at Destinus. Skills: Digital Signal Processing, Control Systems, Sensor Fusion, C++, Inertial Navigation Systems. Lead the development of the mathematical architecture behind our in-house inertial measurement unit technology. Build and maintain advanced digital twin models to simulate and optimize sensor behavior and system performance”

Industry & Context.

aerospace
Problems you'll solve

solving deeply technical problems that sit at the intersection of physics, software, and real-world engineering; transform complex physical systems into scalable mathematical solutions

What They're Looking For.

Must Have

M. Sc. or Ph. D. in Electrical Engineering, Robotics, Control Systems, Mathematics, Physics, or a related technical field, Expert-level proficiency in C++ for real-time embedded systems and RTOS environments, Deep understanding of digital signal processing, control theory, and sensor fusion principles, Experience working 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 processor interfaces, Experience developing robust algorithms for high-performance aerospace, robotics, automotive, or defense applications, analytical mindset with the ability to transform complex physical systems into scalable mathematical solutions

Nice to Have

AI-driven sensor optimization, AI-driven approaches for noise reduction, thermal compensation, and intelligent signal optimization

What You'll Do.

Lead the development of the mathematical architecture behind our in-house inertial measurement unit technology

Build and maintain advanced digital twin models to simulate and optimize 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 and flight stability

Integrate AI-driven approaches for noise reduction

and intelligent signal optimization

Analyze raw sensor data to validate performance

establish ground truth benchmarks

and continuously improve system accuracy

Contribute to the evolution of next-generation autonomous navigation and guidance systems across the Destinus platform

How You'll Work.

Team & Collaboration

Collaborate closely with hardware, FPGA, embedded software, AI, and flight control teams to bridge the gap between theory and real-world aerospace applications

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