DSP Engineer for communication, SPU (Granada-Spain)

safransed; Granada; Presencial; EUR 42.000 - 76.000; Jornada completa

Descripción de la vacante

Safran is seeking a Digital Signal Processing Engineer for the Special Projects Unit to design and optimize DSP algorithms for wireless communication with an emphasis on precise timing and synchronization.

You will implement and simulate DSP methods in Python, contribute to high-reliability timing, and explore SDR/FPGA based solutions for challenging environments.

Formación

• Must have strong background in DSP and wireless communications.
• Excellent Python programming skills.
• Knowledge of SDRs and FPGA architectures.

Responsabilidades

• Define DSP algorithms for wireless communications.
• Simulate DSP algorithms in Python.
• Work on timing and synchronization aspects.
• Collaborate on SDR/FPGA based implementations.

Conocimientos

DSP

Python

Wireless comms

SDR

FPGA architectures

Herramientas

VHDL

Verilog

HLS

C/C++

Linux

Python

Descripción del empleo

Overview

We're looking for a Digital Signal Processing Engineer for the Special Projects Unit.

Our Technology:

We are the world leader in Resilient Positioning, Navigation and Timing (R-PNT) solutions that improve the reliability, performance, and safety of critical applications, and high-risk operations, even in GPS/GNSS-denied environments. We provide virtually fail-safe GNSS and PNT solutions for military and commercial applications worldwide, and ultra-precise synchronization (sub-ns) and frequency distribution for applications requiring a high degree of reliability and precision through White Rabbit PTP.

In addition, Safran has great expertise in Time Sensitive Networking (TSN) through several projects in the framework of aerospace with ESA to provide deterministic communications with zero-packet loss. Overall, we deliver highly dependable solutions that always have high accuracy and robust timing at their core.

Position

DSP Engineer for communication

What you will be doing:

As a DSP Engineer at our company, you will be responsible for designing and developing digital signal processing algorithms for wireless communication systems, with a focus on applications requiring high-precision timing and synchronization. You will work on the development of digital signal processing algorithms and simulate them using Python, to support a range of applications including timing and synchronization, wireless communication systems, and other related fields.

Responsibilities

• Definition of DSP algorithms for wireless communications
• General knowledge of Software Defined Radios (SDRs) and FPGA architectures
• Simulation of DSP algorithms in Python
• Knowledge of different modulation schemes such as OOK, BPSK, QPSK, QAM, Spread Spectrum, etc.

Requirements

Must:

• Strong background in digital signal processing (DSP) and wireless communication systems
• Excellent programming skills in Python
• Knowledge of SDRs and FPGA architectures

Plus:

• Experience with communication systems in high-Doppler environments (e.g. airborne, maritime, or high-speed terrestrial communications)
• Knowledge of coherent receiver architectures and signal processing techniques
• Experience with FPGA development using tools such as VHDL, Verilog, or HLS (High-Level Synthesis)
• Knowledge of timing and synchronization technologies (e.g. IEEE 1588, GPSDO)
• Familiarity with Global Navigation Satellite Systems (GNSS) and their signal processing aspects
• Programming skills in C or C++ for prototyping and development
• Experience with Linux operating system.

Safran is an equal opportunity employer who does not discriminate based on race, color, citizenship, religion, gender, sexual orientation, national origin, age, disability, veteran’s status or any protected category. We encourage veterans and people with disabilities to apply.