Meta Platforms, Inc.

Audio Systems Engineer

Sunnyvale, CA, US

Onsite
Full-time
3 days ago
Save Job

Summary

The Meta Reality Labs team brings together experts to develop and ship groundbreaking products at the intersection of hardware, software, and content. We operate on aspirational, fixed timelines to ship products at scale. Our products define new categories that advance Meta's mission to give people the power to build community and bring the world closer together. We seek an Audio Systems Engineer to join our Audio Experience Team.You will be defining, tuning, and evaluating audio capture systems and solutions, including microphone array architectures, electroacoustics, and signal processing, and applying your acquired skills in the productization of cutting edge smart glasses and AR/VR audio experiences.4+ years of experience defining, tuning, and testing efficient microphone-array processing and real-time audio capture algorithms 4+ years of experience defining, prototyping, and demonstrating compelling audio experiences with end-to-end audio systems including acoustics, transducers, digital interfaces, audio ICs, and DSPs 4+ years 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 experience with audio test systems such as SoundCheck, Audio Precision, or HEAD Acoustics ACQUA and knowledge of telecommunications standards 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 of consistently working under your own initiative, communicating effectively, and driving audio workstreams in a cross functional environment, from product concept to mass production Working knowledge with a high-level programming language such as MATLAB, Python B.Sc. degree in Electrical Engineering, Computer Science, Acoustics, or equivalent experience Experience with psycho-acoustic metrics for speech quality and intelligibility Familiarity with human perception of spatial sound Experience with perceptual audio quality evaluation methods, designing and deploying subjective tests for audio systems Familiarity with audio rendering algorithms and loudspeaker technologies Experience in acoustics and consumer audio EE architecture Familiarity with audio algorithm development, machine learning techniques, and/or neural network implementation Familiarity with acoustics or multiphysics simulation software, e.g. COMSOL M.Sc. or Ph.D. in EE, Computer Science, Acoustics, or related disciplines

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