Precision DSP Engineer for Inertial Sensors & Control

Destinus; Zürich; Vor Ort; CHF 120.000 - 170.000; Vollzeit

Zusammenfassung

Destinus is seeking a Digital Signal Processing Engineer to own the algorithms that keep a precision inertial sensor oscillating at the right frequency and amplitude. You will define control loops, develop estimation and compensation methods, and establish models used to validate performance on embedded targets.

You'll collaborate with electronics, FPGA, embedded software, physics, and systems teams to translate mathematical models into robust real‑world implementations and Kalman filtering

Qualifikationen

• PhD/MSc/BSc in a technical field relevant to control theory or sensors.
• Strong foundation in control theory and DSP, incl. closed-loop design and PLL.
• Experience with Kalman filtering on real physical systems.
• Proficient Python or MATLAB for modeling and simulation.
• Ability to translate physics into mathematical models for algorithms.
• Experience with embedded C/C++ for real-time targets.

Aufgaben

• Design and simulate control loops for stable sensing element.
• Define loop architectures, bandwidths, gains, and stability margins.
• Develop outer-loop bias estimation and thermal compensation in C/C++.
• Design and implement Kalman filtering for rate measurement.
• Own the co-simulation environment comparing hardware to reference model.
• Build Python or MATLAB models to explore sensor behavior.
• Establish sensor characterization methods (Allan variance, etc.).
• Collaborate with electronics, FPGA, embedded software, physics, and systems engineers.
• Investigate sensor anomalies from first principles to find root causes.

Kenntnisse

Control theory

Digital signal processing

Kalman filtering

Python

MATLAB

C/C++

Embedded targets

State estimation

I/Q processing

PLL/phase tracking

Ausbildung

BSc/MSc/PhD in a technical field

Tools

MATLAB

Python

C/C++

Embedded targets

Jobbeschreibung

Destinus is seeking a Digital Signal Processing Engineer to own the algorithms that keep a precision inertial sensor oscillating at the right frequency and amplitude. You will define control loops, develop estimation and compensation methods, and establish models used to validate performance on embedded targets.

You'll collaborate with electronics, FPGA, embedded software, physics, and systems teams to translate mathematical models into robust real‑world implementations and Kalman filtering