AI Acoustic Engineer (m/w/d) - UAV Detection, Localization & Signal Processing

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

Nice To Have:

• 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

Meta:

• 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
• Successful candidates will be required to obtain security clearance

Why us?

Do you feel that you fit the description, but don't think you fulfill all the criteria 100%? Apply to us anyway.  We look forward to receiving your detailed application via our online form - Please submit your CV in English.

The world is changing. Exponential technologies are enabling new types of security threats. ATS is committed to staying ahead by building nimble, scalable, and cost-effective defences. We are looking for passionate developers who are eager to create exceptional products, safeguard our freedom, and strengthen the resilience of democracies.

About us

Who we are: Autonomous Teaming is a defence-tech start-up specializing in machine vision solutions. Driven by cutting-edge innovation, our team works on next-generation technologies designed to meet rapidly evolving security challenges.

What we do: We develop systems that enable computers and sensors to operate as coordinated teams, collaborating in real time to counter AI-powered asymmetric threats at scale — including drone swarms and other UXVs. Our mission is to build resilient, intelligent defence capabilities that perform reliably in the most demanding environments.

Who we are: Based in Munich, Berlin, and Toulouse, we are expanding rapidly across Europe with plans to open additional office hubs. We value close, in-person collaboration as the foundation for building complex, high-impact technology, while maintaining flexibility aligned to role and team needs. Our culture is built on ownership, responsibility, and trust — with a shared commitment to growing and building together.