3+ years of experience in deep learning and/or DSP engineering
Proficiency in Python and PyTorch (or similar frameworks)
Degree in Computer Science, Mathematics, Electrical Engineering, or a related field
Exposure to hybrid AI/DSP algorithm development is a plus
Strong problem-solving ability and teamwork in a fast-paced environment
Responsibilities
Design and develop deep learning algorithms for DSP audio
Optimize performance of models for embedded systems
Innovate model efficiency and compression
Utilize multi-sensor data for enhanced algorithm performance
Collaborate with customers to customize solutions
Oversee the full model development cycle from research to deployment
Benefits
401(k) plan
Medical, vision, and dental insurance
Commuter benefits
Disability insurance
Paid maternity and paternity leave
Child care support
Full Job Description
Job Description About the Role
As a Deep Learning Engineer, you will:
Design, 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.
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.
What You'll 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.
Contribute to the end-to-end process of model development, from research and prototyping to deployment on hardware.
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.
A passion for solving challenging problems and collaborating in a fast-paced, innovative environment.
Desired Skills and Experience
Deep learning, Machine learning, DSP, Python, PyTorch
