Audio Systems Engineer

Meta's Hardware Audio Team is hiring an Audio Systems Engineer to help develop, ship, and optimize high-quality audio systems and experiences for next-generation wearables at the intersection of hardware, software, and content. The role focuses on end-to-end product audio development—from proof-of-concept prototyping through production readiness—including analyzing/defining, tuning, and debugging real-time audio capture systems, as well as designing, developing, testing, and optimizing product-level audio technologies. The ideal candidate brings strong background in audio system design, acoustic simulation, and digital signal processing (DSP), and will partner closely with cross-functional teams to drive innovation and deliver top-tier audio performance.

Design, develop, and test audio systems and technologies for wearables products Collaborate with cross-functional teams to drive innovative solutions and champion best practices for audio system design Analyze, define, tune, and debug real-time audio capture systems for forward-looking products and user experiences Develop and manage operations in audio labs, including standardized verification and novel experiments Conduct HW and SW testing on consumer electronics, product benchmarking, and data collection for algorithm tuning and development Support product and audio technology demo setup

Bachelor's or Master's degree in Acoustics, Electrical Engineering, Computer Science, Digital Signal Processing or a related field, and/or equivalent industry experience 6+ years of experience in audio system design, acoustic simulation, and digital signal processing Experience with audio hardware testing and related tools, such as HATS, precision microphones, anechoic chambers Proficiency in programming languages such as MATLAB, Python, and/or MaxMSP Effective communication, documentation, and presentation skills Experience with psycho-acoustic metrics for speech quality and intelligibility Experience independently driving audio workstreams in a dynamic cross-functional environment, from product concept to mass production Familiarity with human perception of spatial sound Familiarity with typical DSP building blocks such as digital biquad filters, IIR, FIR, AGC, wide-band/multi-band DRC, and audio capture algorithms such as beamforming, echo cancellation, and noise suppression Experience in acoustics and consumer audio EE architecture Familiarity with acoustic simulation software, e.g. COMSOL Familiarity with audio algorithm development and/or machine learning techniques 4+ years of experience designing and deploying objective test methodologies for consumer electronics devices and audio algorithms or features such as voice communication, voice assistant, video capture 4+ years of experience defining, tuning, and testing efficient microphone-array processing and real-time audio capture algorithms