Audio Deep Learning Engineer

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. #J-18808-Ljbffr Femtosense