Audio Algorithm Engineer F/M

NXP is a leader in low-power AI and DSP technologies for wearables . With the smart glasses market rapidly evolving, the Voice & Audio team is focused on capturing this growth by developing state of the art algorithms tailored to key customers in the wearable space.

We are looking for a Signal Processing and AI Engineer to join our R&D team specializing in speech enhancement technologies . The role involves designing and implementing real-time algorithms for noise reduction, dereverberation, and echo cancellation. The successful candidate will contribute to advancing voice interaction capabilities in next-generation wearable devices, including smart glasses.

Your responsibilities :

• Design and implement advanced signal processing algorithms for speech enhancement in real-world acoustic environments.
• Develop PoC for performances demonstration.
• Design and train deep learning models for speech denoising, dereverberation, source separation.
• Preprocess and analyze audio datasets.
• Optimize algorithms for low-latency and embedded systems deployment.
• Conduct benchmark and evaluate performances based on speech quality metrics and listening tests.
• Collaborate with software engineers for integration into voice solution products.
• Stay up to date with latest advances in DSP and Voice AI relevant to speech enhancement.
• 1 or 2 years of experience in audio research and development

Your profile :

• Master’s degree or PhD in computer science engineering specialized in signal processing and machine learning.
• Background in digital signal processing and speech processing fundamentals.
• Knowledge of Python, Matlab, C with experience in machine learning frameworks such PyTorch.
• Experience with audio datasets and signal feature extraction techniques.
• Knowledge of real-time processing constraints and optimization techniques.
• Experience with neural networks for speech enhancement.
• Experience in embedded audio processing or edge AI.
• Experience of voice communication systems (mobile phone, smart speaker, wearables, hearing aids...).
• Publications in speech and audio processing.
• 1 or 2 years of experience in audio research and development

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