AI Acoustic Engineer (m/f/d) – UAV Localization & Signal Processing

What we offer

• Work in an international, agile team creating the future of autonomous systems

• Grow your career in a expanding and ambitious engineering team

• Build innovative products using state-of-the-art technologies in AI, robotics, and autonomy

• Benefit from a steep learning curve and continuous development

• Enjoy team events and a strong, collaborative culture

Your mission

• Develop and deploy AI-driven acoustic sensing systems for UAV detection, classification, localization, and tracking

• Design, train, and extend custom neural network architectures for analyzing acoustic signatures, noise patterns, and audio anomalies

• Optimize real-time audio signal processing pipelines for UAV swarm coordination, defense systems, and stealth detection

• Apply microphone array processing, acoustic beamforming, Doppler analysis, and advanced noise reduction techniques to improve UAV audio sensing performance

• Lead hands-on efforts in data collection, labeling, augmentation, and training for complex, custom acoustic datasets

• Integrate AI-powered acoustic models into multi-modal sensor fusion frameworks (Radar, RF, EO/IR, LiDAR)

• Ensure compliance with defense and aerospace standards (MIL-STD, ITAR, NATO STANAGs, IEC acoustic systems)

Your profile

• Extensive, hands-on experience in AI-driven audio signal processing, acoustics, or acoustic sensing

• Deep knowledge of neural network models for sound applications, including detection, classification, and localization

• Demonstrated ability to design, modify, and extend network architectures, not limited to off-the-shelf models

• Strong background in microphone array processing, acoustic beamforming, sound localization, and noise reduction

• Proven experience with data acquisition, labeling pipelines, augmentation strategies, and training models from scratch or adapting them to custom classes

• Solid understanding of real-time DSP and AI-enhanced signal processing systems

• High proficiency in Python and PyTorch, with practical experience using audio processing libraries and frameworks