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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