Your mission

• Develop and optimize acoustic signal processing algorithms for UAV detection, tracking, and classification
• Design and implement microphone array systems for real-time sound localization and noise reduction
• Work on AI-powered audio analysis for differentiating UAV sounds from background noise
• Integrate acoustic sensor data with Radar, RF, EO/IR, and Lidar for multi-sensor fusion in UAV defense systems
• Develop real-time DSP (Digital Signal Processing) algorithms for UAV threat identification
• Conduct field testing and validation of acoustic detection systems in various environments
• Collaborate with AI, embedded systems, and defense engineers to enhance system performance
• Optimize low-power, real-time embedded processing for edge AI acoustic detection

Your profile

• 3+ years experience in acoustic engineering, signal processing, or machine learning for audio analysis
• Strong knowledge of beamforming, noise filtering, and audio pattern recognition
• Experience with MATLAB, Python, C++, or Rust for audio signal processing
• Proficiency in DSP frameworks (TensorFlow Audio, Librosa, Kaldi, SoX, PortAudio)
• Familiarity with acoustic sensors, microphone arrays, and edge computing for real-time processing
• Understanding of UAV acoustics, stealth noise reduction, and adversarial acoustic countermeasures

• Experience in defense, aerospace, or counter-UAV acoustic detection systems
• Background in machine learning for sound classification and anomaly detection
• Knowledge of RF/acoustic hybrid detection systems and adversarial AI in acoustic warfare