Principal Audio Software Engineer

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Avanti Recruitment
ScreenedJust posted
Landbeach
£75000/annum
Posted 1 day ago
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About the role

We’re working with a globally recognised technology business that develops mission-critical communication systems used by emergency services and public safety organisations worldwide. Their products are designed for environments where clear, reliable communication can save lives, and they are continuing to invest heavily in next-generation technology. The Role We are looking for a Principal Audio Software Engineer to lead the development of advanced audio processing solutions for cutting-edge communication devices. This is a high-impact, senior technical role where you will shape the audio performance of products used in real-world, high-pressure environments. You will take ownership of audio architecture, DSP algorithm development, and system optimisation, working closely with cross-functional engineering teams. Key Responsibilities * Architect and develop real-time audio processing algorithms * Deliver technologies such as: * Noise reduction * Acoustic echo cancellation * Beamforming * Voice activity detection * Audio enhancement and codecs * Lead technical decision-making and define audio software standards * Collaborate with embedded, hardware, and systems teams * Optimise performance for low-latency, resource-constrained environments * Drive innovation in audio and DSP technologies What We’re Looking For * Strong experience in real-time audio software or DSP development * Excellent C/C++ skills within embedded systems * Deep understanding of: * AEC, noise reduction, AGC * Beamforming, filtering, VAD * Experience optimising for performance and low latency * Proven ability to lead complex technical projects Desirable Experience * Background in mission-critical or safety-critical systems * Knowledge of TETRA, DMR, LTE or similar technologies * Experience with MATLAB or Python * Understanding of acoustics or microphone arrays * Experience with ARM, RTOS, or multi-core systems * Exposure to machine learning in audio processing

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