Design Engineer DSP Algorithms

Antwerp Space; Antwerpen; Sur place; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Multicultural environment

Strong corporate culture

Professional development

Attractive salary package with fringe-

Résumé du poste

Antwerp Space in Hoboken, Belgium, is seeking an FPGA/DSP engineer to design, implement, and validate advanced signal processing algorithms for space communications, radar, and GNSS.

You will translate theory into real-time software on high-performance platforms, collaborate with cross‑functional teams, and contribute to MATLAB/Python/C/C++ code and fixed‑point designs. The role offers growth in a multicultural, international environment with short‑term international assignments.

Qualifications

• Prerequisites include advanced knowledge in DSP and communications.
• Strong programming skills in Python, MATLAB, C, or C++.
• EU passport is required.

Responsabilités

• Model and simulate PHY systems using Python, MATLAB, C, or C++
• Design and optimize signal processing algorithms for performance and efficiency
• Develop fixed-point models and perform quantization analysis
• Collaborate with FPGA, hardware, and software engineers to implement algorithms
• Contribute to code development in MATLAB, Python, C, and C++
• Define and execute test strategies and debug system-level issues
• Support integration and validation in simulation and lab environments

Connaissances

Python

MATLAB

C/C++

Digital signal processing

Communication theory

Multidisciplinary teamwork

EU passport

Formation

Master's or PhD in Electrical Engineering or related field

Outils

Fixed-point design

FPGA hardware

Lab equipment

Description du poste

As part of our FPGA (Field‑Programmable Gate Array), DSP (Digital Signal Processing) & Algorithms team, you will design, develop, and validate advanced signal processing algorithms for next‑generation wireless baseband systems. Your work will directly contribute to cutting‑edge applications in space communications, radar, and GNSS (Global Navigation Satellite System).

You will play a key role in translating theoretical concepts into efficient, real‑world implementations that run on high-performance digital platforms.

Key Responsibilities

• Model and simulate state‑of-the-art physical layer (PHY) systems using Python, MATLAB, C, and/or C++
• Design and optimize signal processing algorithms with a focus on performance, robustness, and efficiency
• Develop fixed‑point models and perform detailed performance and quantization analysis
• Collaborate closely with FPGA, hardware, and software engineers to translate algorithms into efficient digital implementations
• Contribute to code development in MATLAB, Python, C, and/or C++
• Define and execute test strategies, analyze results, and debug system‑level issues
• Support integration and validation of designs in both simulation and laboratory environments

Required Qualifications

• Master’s or PhD in Electrical Engineering, Mathematics, Physics, or a related field
• Strong foundation in digital signal processing and communication theory
• Proven programming skills in Python, MATLAB, C, or C++
• Analytical mindset with excellent problem‑solving skills
• Strong communication skills and ability to work in a multidisciplinary team
• EU passport

Technical Expertise (one or more of the following)

• Wireless communication algorithms
• RF impairment estimation and compensation
• Radar signal processing
• GNSS signal processing and receiver algorithms
• Experience with fixed‑point design and hardware‑oriented algorithm development
• Familiarity with FPGA‑based implementations
• Hands‑on experience with lab equipment (e.g., spectrum analyzers, signal generators, power meters)
• Experience debugging and validating real hardware systems

What We Can Offer You

• A multicultural environment. You’ll be working in an international environment with colleagues from all over the world.
• A strong corporate culture. Our company is based on strong values: respect, trust, personal development and well‑being.
• Professional development. You’ll get the chance to learn, to share your expertise, to develop your skills and contribute to high‑level, international projects in a high‑tech environment.
• Salary package: a very attractive salary package including numerous fringe benefits. The main job location is Hoboken, though, short‑term missions abroad are part of this challenging job environment.