Audio Deep Learning Engineer
About The Position
As a Deep Learning Engineer, you will design, develop, and deploy deep-learning-based and classical DSP audio algorithms for our SPU platform. You will leverage innovative model compression techniques to optimize performance-per-joule on custom silicon. You will be a core contributor to our deep learning and DSP development platform, advancing novel algorithms for audio processing. You will collaborate directly with customers across diverse industries to deliver impactful solutions and exciting new features. This is a unique opportunity to work on challenging problems at the intersection of deep learning, model optimization, and embedded systems, while driving real-world impact in industries ranging from consumer electronics to automotive and beyond.
Requirements
- 3+ years of relevant experience in deep learning and/or DSP engineering.
- Strong experience with Python and PyTorch (or other deep learning frameworks).
- A background in Computer Science, Mathematics, Electrical Engineering or a related field (BS, MS, PhD, or equivalent work experience).
- A passion for solving challenging problems and collaborating in a fast-paced, innovative environment.
Nice To Haves
- Experience in hybrid AI / DSP algorithm development is a plus but not required.
- Deep learning, Machine learning, DSP, Python, PyTorch
Responsibilities
- Develop and optimize deep learning models for audio processing, including tasks like speech enhancement, beamforming, event detection, sound localization, voice identification, voice interfaces, noise reduction, echo cancellation, feedback cancellation, and more.
- Drive innovation in model efficiency, compression, and deployment on embedded platforms.
- Leverage multi-sensor data to improve algorithm performance in difficult environments.
- Work closely with customers to understand their needs and tailor solutions to meet their goals.
- Contribute to the end-to-end process of model development, from research and prototyping to deployment on hardware.
Benefits
- 401(k)
- Medical insurance
- Vision insurance
- Dental insurance
- Commuter benefits
- Disability insurance
- Paid maternity leave
- Paid paternity leave
- Child care support
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
