Our client is seeking a Principal Audio DSP & Edge Computing Architect to own the full audio processing pipeline and edge-computing architecture.
You will design and implement next-generation active noise cancellation (ANC), spatial audio systems, and edge AI features while integrating biometric and flight telemetry data into a unified real-time system.
This role sits at the intersection of DSP, embedded Linux systems, and AI-driven audio processing.

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™)

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