Autonomous Teaming
AI Acoustic Engineer (m/f/d) – UAV Detection, Localization & Signal Processing
Munich (DEU)
Tech Stack
PythonPyTorchMachine Learning ROSC++
Language Requirements
English (Fluent)
Requirements
Senior Seniority
No Degree
Remote Policy
On-site
- 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
- 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)
- 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
- Experience with acoustic sensing in military or defense environments, including UAV surveillance and stealth detection
- Knowledge of psychoacoustics, bio-inspired hearing models, or advanced acoustic modeling
- Familiarity with ROS-based systems, real-time environments, and C++
- Experience deploying, optimizing, and maintaining machine learning models in production or embedded systems
- Background in adversarial AI for sound recognition, acoustic anomaly detection, or sonar intelligence
- Intrinsic motivation, attention to detail, and strong problem-solving mindset
- Creative thinker with a structured and systematic approach
- Humble and collaborative — prioritizes collective success over individual recognition
- High ethical standards and disciplined work ethic
- Extra-curricular leadership or achievements are a bonus
- Fluent in English
- Nationality of a NATO member nation or close ally is required