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18.02.2025

04.04.2025

In order to support our team, Airbus Defence and Space is looking for a Masterand student in the field of deterministic AI inference on-board Telecom Satellites (d/f/m).

Are you up to discover and inspire advanced processing solutions using Artificial Intelligence on high-end FPGA-based hardware for next-generation Telecom Satellites? Do you want to work at the edge of innovation in this field? Then apply now!

Start: June or July 2024

Duration: 6 months

You will support the department Telecom & Navigation Processing Germany which specializes in high performance processing solutions for satellites. The R&T focus is satellite on-board machine learning inference and application design for radio frequency (RF) communication, anomaly detection, network orchestration, as well as future 5G/6G payloads.

Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria. Are you into sports and other outdoor activities? The Alps and Lake Starnberg are within an hour’s reach, offering a multitude of recreational options.

Attractive salary and work-life balance with a 35-hour week (flexitime).

International environment with the opportunity to network globally.

Work with modern/diversified technologies.

At Airbus, we see you as a valuable team member and you are not hired to brew coffee; instead, you are in close contact with the interfaces and are part of our weekly team meetings.

Opportunity to participate in the Generation Airbus Community to expand your own network.

Artificial Intelligence offers great potential in aeronautics and space, such as computer-vision guided aircraft navigation and landing maneuvers, or self-supervising spacecrafts that autonomously recover from faults. Besides high accuracy requirements on neural networks for such critical applications, the on-board inference must be performed in a predictable and time-deterministic manner to satisfy flight certification requirements.

Airbus has developed a custom in-house AI inference engine which is now ready to be integrated into spacecraft hardware. Your tasks will focus on deploying this engine on our next-generation FPGA-based System-on-Chip (SoC) spacecraft processor system. This includes:

1. Implementing the in-house IP-core on the spacecraft’s FPGA
2. Ensuring efficient data streaming to/from the IP by implementing high-speed interfaces
3. Extending the AI capabilities by integrating new layers/operations
4. Comparing key metrics (power efficiency, data throughput, compute power) to other state-of-the-art space-grade ML accelerators

With this position, you will have the opportunity to work in an interdisciplinary team of AI specialists across the Airbus divisions and shape the AI capabilities of future satellite systems.

Enrolled full-time student within a background in VHDL Engineering, Electrical Engineering, Artificial Intelligence, or similar field of study

Experience with industry-standard FPGA tools, such as Vivado

FPGA and embedded-systems programming skills (VHDL / Verilog, Python, C, C++)

Experience with common Machine Learning frameworks (Tensorflow / PyTorch / Matlab)

Fluent English is mandatory; French or German would be an asset

Please upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate.

Not a 100% match? No worries! Airbus supports your personal growth.

Take your career to a new level and apply now!

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.