Embedded Developer for Digital Signal Processing in Airborne Radio (m/f/d)

Rohde & Schwarz is a global technology group with currently approx. 14,000 employees and three divisions: Test & Measurement, Technology Systems and Networks & Cybersecurity. For 90 years, the company has been developing cutting-edge technology, shifting the boundaries of the technically feasible and enabling customers from business, public authorities and high-quality environment to their technological sovereignty. Our plant in Memmingen (Allgäu) is responsible for equipping electronic assemblies, microwave technology, final production, final testing and delivery of most Rohde & Schwarz products. But customers outside the Rohde & Schwarz-Firmengruppe can also rely on the great know-how of the plant. Career start at Rohde & Schwarz – a safe and global family business with over 90 years of experience. An attractive remuneration according to the collective agreement of the Bavarian metal and electrical industry, a 35-hour week, a wide range of training options as well as a modern working environment with operating restaurant offer optimal conditions. Be part of a strong team and work on innovative projects for tomorrow's technologies.

• Responsibility for the design and implementation of digital signal processing algorithms and concepts for secure radio communication in the Airborne area

• The analysis of existing systems and the integration of new functions and concepts into these systems

• Development and modernisation of proven equipment using modern methods and technologies to ensure the future

• Implementation of signal processing modules and verification and testing of the projects

• Complete studies in electrical engineering, communications technology or a comparable qualification

• Comprehensive experience in embedded software development in C/C++

• Knowledge of programming with assembler

• Experiences in at least one of the following areas: software defined radio, digital modulation methods, digital filter, error correction methods.

• Knowledge of MATLAB and Simulink are advantageous

• Practical experience in real-time implementation of algorithms

• High communication skills and strong self-responsibility

• Good knowledge of German (at least B2) and knowledge of English in word and writing