Role OverviewDesign, develop, and deploy deep-learning-based and classical DSP audio algorithms for our SPU platform. Leverage innovative model compression techniques to optimize performance-per-joule on custom silicon. Be a core contributor to our deep learning and DSP development platform, advancing novel algorithms for audio processing. Collaborate directly with customers across diverse industries to deliver impactful solutions and exciting new features.
What You Will Do
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.
Why It Might Be a Fit
A passion for solving challenging problems and collaborating in a fast-paced, innovative environment.
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)
- Experience in hybrid AI / DSP algorithm development is a plus but not required
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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