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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