Embedded DSP Engineer for Inertial Sensors

Destinusgroup; Zürich; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Destinus seeks a Digital Signal Processing Engineer to own the algorithms and control strategy for a precision inertial sensor. You will design and simulate control loops, implement bias estimation and Kalman filtering, and validate performance against physics-based models.

You will collaborate with electronics, FPGA, and systems engineers to translate complex models into robust, real-world implementations and to drive experimental validation in a high-performance aerospace environment.

Qualifikationen

• Advanced degree in a technical field (CS, math, physics, control, or electrical engineering)
• Strong foundation in control theory and DSP, including loop design and phase margin
• Practical experience with state estimation and Kalman filtering on real systems
• Strong Python or MATLAB skills for modeling, simulation, data analysis
• Ability to translate complex physical behaviour into scalable algorithms for embedded targets
• Experience with embedded software or hardware interfaces is a plus

Aufgaben

• Design and simulate control loops to keep the sensing element stable and locked.
• Define loop architectures, bandwidths, gains, and stability margins based on sensor physics.
• Develop outer-loop algorithms for bias estimation and thermal compensation in maintainable code.
• Design Kalman filtering to convert sensor outputs into accurate rate measurements.
• Own the co-simulation environment to compare hardware against models and identify discrepancies.
• Build mathematical models in Python or MATLAB to explore sensor behavior and validate decisions.
• Characterize sensors using Allan variance, bias instability, angular random walk, and scale-factor linearity.
• Collaborate with electronics, FPGA, embedded software, physics, and systems engineers to implement models.
• Investigate unexpected sensor behavior from first principles to find root causes.

Kenntnisse

Control theory

DSP

Kalman filtering

Python

MATLAB

C/C++

Embedded targets

Cross-disciplinary comms

Ausbildung

B.Sc./M.Sc./PhD in CS, Math, Physics, or EE

Tools

Python

MATLAB

C/C++

Jobbeschreibung

Destinus seeks a Digital Signal Processing Engineer to own the algorithms and control strategy for a precision inertial sensor. You will design and simulate control loops, implement bias estimation and Kalman filtering, and validate performance against physics-based models.

You will collaborate with electronics, FPGA, and systems engineers to translate complex models into robust, real-world implementations and to drive experimental validation in a high-performance aerospace environment.