DSP & Control Engineer
Pubblicato il 17-08-2026 - Powersoft in Castel San Gimignano
Powersoft SpA is an Italian based multinational group, listed on the Italian Stock Exchange, that counts more than 150 employees. Powersoft is the world leader in the design, production, and commercialization of products and patented solutions for applications in the professional audio field, such as big international shows, concerts, theatres, cinemas, stadiums, airports, train stations, cruises, etc.
Di seguito troverà tutto ciò che deve sapere su questa occasione e sui requisiti richiesti ai candidati.
For increasing our R&D; DSP & Control Team in Florence, we are looking for a DSP & Control Engineer.
ROLE :
- Design and develop of signal processing filters and algorithms.
- Design and develop of feedback control systems.
- Existing product maintenance.
- Interact and collaborate with the other team members and the other colleagues.
REQUIREMENTS :
- Master's degree or Bachelor's degree in "Automation and Control Electronic Engineering" and educational background in scientific field.
- Digital Signal Processing Theory knowledge:
the candidate should be familiar with signal processing concepts such as Z-transform, FFT, design methods for linear and minimum phase FIR filters (such as window method or LQ design method), design methods for IIR/biquad filters, digital frequency analysis, processing algorithms such as Xover, equalization, dynamic EQ, multiband limiter, adaptive filters (such as LMS (Gradient method) for linear and non-linear cases), RLS (Resursive Least Sqare)).
- Automatic Control Theory knowledge: the candidate should be familiar with concepts of Automatic Control Theory such as: S-transform (Laplace transform), eigenvalues of a dynamical system, stability observability and controllability of a dynamical system, Sampled Data Control Systems , design of state observers (e.g. Luenberger observer), design of feedback controllers (such as: Direct Synthesis Techniques, PID, optimal LQ Control, feedback linearization, constrained predictive control).
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