SDR & GPU Acceleration Engineer

GMV; Gilching; Hybrid; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Teleworking up to 4 weeks/year

Relocation package

Career development & language support

Wellbeing program

Zusammenfassung

GMV is seeking an SDR & GPU Acceleration Engineer to advance an End-to-End V&V environment for EO/SatCom systems. You will shape the design of software‑defined modems, GPU‑accelerated DSP pipelines, and scalable architectures for multi‑gigabit services.

You will lead DSP/PHY/MAC development, optimize CUDA‑based processing, and integrate SDR platforms with real‑time systems while mentoring junior engineers and collaborating across teams.

Qualifikationen

• Experts in Telecommunications Engineering, Electrical Engineering, Computer Engineering, Computer Science, Physics, or related fields with background in telecommunications, SDR development, wireless communications, DSP, or HPC.
• Strong programming skills in C/C++ and Python, with experience in developing complex software systems.
• Practical experience with GPU programming and CUDA.

Aufgaben

• Lead the design and implementation of software-defined modem and protocol processing solutions for high-rate satellite communication systems.
• Develop and optimize PHY and MAC layer processing chains for SatCom and wireless technologies.
• Design GPU-accelerated DSP pipelines for modulation, demodulation, synchronization, FEC, framing, packet processing, and signal analytics.
• Contribute to scalable software architectures for multi-gigabit services and advanced payload processing.
• Integrate and evaluate SDR platforms, RF front ends, real-time digital systems, networking infra, and hardware-accelerated processing in end-to-end validation environments.
• Design low-latency, high-throughput processing solutions using GPUs and heterogeneous computing.
• Support integration and assessment of DPU-based technologies for networking, security, and data acceleration.
• Plan and execute HIL testing, interoperability campaigns, performance evaluations, and validation activities.
• Develop test automation frameworks, performance monitoring tools, and benchmarking for advanced systems.
• Provide technical guidance and mentorship to junior engineers and participate in architectural decisions.
• Support documentation, customer interactions, and project reviews.

Kenntnisse

SDR architectures

Digital signal processing

C/C++

Python

GPU programming

CUDA

Linux

High-performance computing

System integration

Mentorship

Tools

NVIDIA CUDA

Linux

Python

Jobbeschreibung

Do you want to face new challenges without giving up the stability of a highly experienced technology group?

At GMV we are looking for a SDR & GPU Acceleration Engineer to support the development of an advanced End-to-End (E2E) Verification and Validation (V&V) environment for next-generation Earth Observation (EO) and Satellite Communication (SatCom) systems.

We’ll get to the point; we’ll tell you what’s not on the web. If you want to know more about us go to the GMV website.

What challenge will you be taking on?

In our team you will play a leading technical role in the design, implementation, and optimization of software‑defined communication systems, accelerated digital signal processing pipelines, and high‑performance data processing architectures.

• Lead the design and implementation of software‑defined modem and protocol processing solutions for high‑rate satellite communication systems.
• Develop and optimize PHY and MAC layer processing chains for next‑generation SatCom and wireless communication technologies.
• Design GPU‑accelerated digital signal processing pipelines for modulation, demodulation, synchronization, forward error correction, framing, packet processing, and signal analytics.
• Contribute to the development of scalable software architectures for multi‑gigabit communication services and advanced payload processing applications.
• Integrate and evaluate SDR platforms, RF front ends, real‑time digital systems, networking infrastructures, and hardware‑accelerated processing platforms within end‑to‑end validation environments.
• Design low‑latency, high‑throughput processing solutions using GPUs and heterogeneous computing architectures.
• Support the integration and assessment of DPU‑based technologies for networking, security, traffic processing, and data acceleration.
• Plan and execute Hardware‑in‑the‑Loop (HIL) testing, interoperability campaigns, performance evaluations, and technology validation activities.
• Develop test automation frameworks, performance monitoring solutions, and benchmarking tools for advanced communication systems.
• Provide technical guidance and mentorship to junior engineers and contribute to architectural and technical decisions.
• Support technical documentation, customer interactions, demonstrations, and project reviews.

What do we need in our team?

We are looking for experts in Telecommunications Engineering, Electrical Engineering, Computer Engineering, Computer Science, Physics, or a related discipline with background and interest in telecommunications, SDR development, wireless communications, digital signal processing, or high‑performance computing.

• Strong experience in Software Defined Radio (SDR) architectures and digital communication systems.
• Solid understanding of PHY and MAC layer protocols, including implementation and communication system design.
• Advanced knowledge of digital signal processing (DSP) techniques, including modulation, coding, synchronization, channel estimation, filtering, and waveform processing.
• Strong programming skills in C/C++ and Python, with experience in developing complex software systems.
• Practical experience with GPU programming, parallel processing concepts, and GPU acceleration frameworks such as NVIDIA CUDA.
• Knowledge of performance optimization techniques for compute‑ and data‑intensive applications.
• Experience working with Linux‑based development environments and software integration activities.
• Familiarity with high‑speed networking technologies and communication protocols.
• Experience in system integration, debugging, testing, and performance evaluation of complex software‑intensive systems.
• Ability to work independently while collaborating effectively in multidisciplinary engineering teams.

What do we offer?

• Hybrid working model and 4 weeks per year of teleworking outside your usual geographical area.
• Flexible start and finish times, and intensive working hours on Fridays and in summer.
• Personalized career plan, development, training, and language learning support.
• National and international mobility; relocation package for candidates from another country.
• Competitive compensation with ongoing reviews, flexible compensation, and discounts on brands.
• Wellbeing program: health, dental and accident insurance; free fruit and coffee; physical, mental and financial health training, and more.

In our recruitment processes you will always have telephone and personal contact, face‑to‑face or online, with our talent acquisition team. In addition, bank transfers and bank cards will never be requested. If you are contacted through any other process, please write to our team at [e-mail].

We promote equal opportunities in recruitment, and we are committed to inclusion and diversity.

What are you waiting for? Join us

If you have any questions please do not hesitate to contact Konstantin Uhl, in charge of this vacancy.

Konstantin Uhl