Femtosense is hiring: Audio Deep Learning Engineer in San Bruno

San Bruno, United States | Posted on 03/12/2026

Headquartered in Silicon Valley, femtoAI —formerly known as Femtosense—was founded in 2018 by researchers from the Brains in Silicon Lab at Stanford University. Our technology takes inspiration from the principles of neuromorphic computing such as sparsity to empower intelligence in everyday devices.

We pioneered a high-performance AI accelerator integrated with an end-to-end embedded AI platform, enabling low-latency operation with less energy at a fraction of the cost. From wearables and household appliances to robotics and autonomous vehicles, femtoAI brings the power of AI to everyday devices.

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

401(k)

Medical insurance

Vision insurance

Disability insurance

Paid maternity leave

Paid paternity leave

Child care support

femtoAI is an equal opportunity employer committed to a diverse workforce which strives to create an inclusive working environment empowering everyone to do their best work. We do not discriminate on the basis of race, ethnicity, religion, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.

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In Summary: Deep Learning Engineer will design, develop, and deploy deep-learning-based and classical DSP audio algorithms for our SPU platform . We pioneered a high-performance AI accelerator integrated with an end-to-end embedded AI platform, enabling low-latency operation with less energy at a fraction of the cost .

En Español: San Bruno, Estados Unidos. Posted on 03/12/2026 Con sede en Silicon Valley, femtoAI anteriormente conocido como Femtosensefue fundada en 2018 por investigadores del Brain in Silicon Lab de la Universidad de Stanford. Nuestra tecnología se inspira en los principios de computación neuromórfica como la escasez para potenciar la inteligencia en dispositivos cotidianos. Desarrollar, desarrollar e implementar algoritmos de audio basados en aprendizaje profundo y clásicos DSP para nuestra plataforma SPU. Aprovechar técnicas innovadoras de compresión del modelo para optimizar el rendimiento por juego en silicón personalizado. Ser un contribuyente principal a nuestra plataforma de desarrollo de aprendizaje profunda y DSP, avanzando nuevos algoritmos para procesamiento de audio. Colaborar directamente con clientes en diversas industrias para ofrecer soluciones impactantes y desafiar nuevas características. Esta es una oportunidad única para trabajar en los problemas difíciles que se encuentran en la intersección de entornos de estudio profundo, optimización de modelos y sistemas embedded, mientras se esfuerzan por mejorar el impacto de las tecnologías electrónicas de consumo al mundo automovilístico. No discriminamos por raza, etnia, religión, género, identidad de sexo, orientación sexual, edad, estado civil, estatus veterano o condición de incapacidad. #J-18808-Ljbffr