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Lead Digital Signal Processing Engineer

Destinus -
Zürich, ZH

Postuler rapidement

Détails de l'emploi

Qualifications

MATLAB
Niveau Doctorat
Niveau Master
Esprit d'analyse
C++
Équipement informatique
ARM
Capteurs
Python

Description complète du poste

About the Role

Imagine this. You are building the mathematical brain behind next-generation autonomous flight systems. As Lead Digital Signal Processing Engineer, you will drive the core algorithms powering advanced inertial measurement technologies that operate in some of the most demanding aerospace environments. From high-speed control loops to AI-driven sensor optimization, your work will directly shape the precision, stability, and intelligence of our flight systems.

At Destinus, we are revolutionizing the defense industry with cutting-edge Unmanned Aerial Vehicles (UAVs). Our innovative technologies are designed to meet the unique demands of modern defense operations, delivering unparalleled speed, precision, and cost effectiveness. Destinus partners with government agencies and defense organizations worldwide to provide advanced solutions for mission-critical operations, enabling a new era of efficiency and technological superiority. Join us in shaping the future of defense with groundbreaking aerospace innovations.

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, thermal compensation, and intelligent signal optimization
Analyze raw sensor data to validate performance, establish ground truth benchmarks, and continuously improve system accuracy
Collaborate closely with hardware, FPGA, embedded software, AI, and flight control teams to bridge the gap between theory and real-world aerospace applications

Requirements

What You’ll Need

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
Strong experience with Python, MATLAB, or Simulink for modelling, simulation, and algorithm development
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
Strong analytical mindset with the ability to transform complex physical systems into scalable mathematical solutions

Who You Are

You are someone who enjoys solving deeply technical problems that sit at the intersection of physics, software, and real-world engineering. You thrive in fast-moving environments where experimentation and innovation happen daily. You combine scientific rigor with hands-on execution and know how to turn theoretical models into systems that perform reliably in the field. You are collaborative, curious, and motivated by building technology that pushes the boundaries of autonomous flight and aerospace intelligence.

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