Required Experience & Skills MSc or PhD in Electrical Engineering, DSP, Acoustics, or related field 4+ years experience in embedded Linux and systems programming (C/C++, Python) Proven experience in active noise cancellation (ANC) product development Strong understanding of adaptive filtering (LMS, NLMS, RLS) and acoustic feedback systems Experience with audio DSP platforms (Analog Devices, Qualcomm or similar) Strong background in real-time audio processing and low-latency systems Experience with machine learning for audio (CRN, RNN, LSTM, or similar) Knowledge of spatial audio (HRTF, Ambisonics, 3D audio systems) Strong experience with BLE, telemetry systems, and embedded networking protocols Proficiency in MATLAB/Simulink, Python, and C/C++ Aviation, drone, or aerospace audio systems experience Embedded AI / edge inference deployment (NPU, TensorFlow Lite) Experience with MAVLink or flight telemetry systems Understanding of aviation acoustic environments and noise profiles Experience working with safety-critical or real-time embedded systems Key Responsibilities Design and develop advanced Deep ANC and spatial audio systems Program and optimize audio DSPs (e.g., Analog Devices ADAU series) using SigmaStudio or C/C++ Develop embedded Linux applications (C++ / Python) on edge compute platforms (NXP i.MX8M / CM4 class) Integrate multi-stream data (audio, flight telemetry, biometrics) into a synchronized system timeline Develop real-time speech enhancement and noise suppression models (CRN, TinyML, TFLite) Build local edge AI features including wake-word detection and audio intelligence processing Develop telemetry ingestion systems (MAVLink, BLE, sensor streams) Work closely with hardware teams on sensor integration (biometrics, environmental data) Support design of crash-safe data logging (AeroVault system) Develop local gateway and sync systems for post-flight data transfer (AeroSync) Salary: Market RelatedHow to apply: