97 geprüfte KI-Jobs in München

Anforderungen

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

Das wird geboten

- 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)

- 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 What else - 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