Meta AR/VR Job | Audio Systems Tuning Engineer
Job（岗位）: Audio Systems Tuning Engineer
Type（岗位类型）: Engineering | Hardware
Citys（岗位城市）: Sunnyvale, CA | Redmond, WA
Date（发布日期）: Before 2021-12-14
Summary（岗位介绍）
The Audio Tech Team brings together world-class experts to develop and ship groundbreaking products at the intersection of hardware, software, and content. We operate on aggressive, fixed timelines to ship products at scale. In particular, seemingly impossible products that define new categories that advance Facebook's mission of connecting the world.
We seek an Audio Systems Tuning Engineer to join our DSP Architecture and Tuning Team. We expect you to be experienced in definition, tuning, and evaluation of audio capture and render solutions, including electroacoustics and signal processing, for productization of complex consumer electronic devices.
Qualifications（岗位要求）
BS degree in EE, Computer Science or equivalent experience
4+ years experience with audio test systems such as SoundCheck or HEAD Acoustics ACQUA
4+ years experience with defining and executing objective and subjective test methodologies for consumer electronics devices with audio features such as communication, voice assistant, music playback, video capture
4+ years experience defining, tuning and testing efficient real-time audio algorithms
Understanding of how end-to-end audio systems work including acoustics, transducers, digital interfaces, audio ICs and DSPs
Description（岗位职责）
Analyze, define, tune, and debug real-time audio system software for forward looking products and user experiences
Learn constantly, dive into new areas with unfamiliar technologies and undefined user experience targets
Define algorithms and tools with developers and coordinate their implementation
Evaluate and benchmark third party algorithms audio performance
Generate novel, innovative solutions to some of the toughest problems in audio
Maintain familiarity with various DSP platforms and the trade-offs of embedded implementations
Additional Requirements（额外要求）
PhD in EE, Computer Science or related disciplines
Familiarity with digital biquad filter, IIR, FIR, Acoustical Echo Cancellation, Multi mic noise reduction, Microphone Beamforming, AGC, multi-band DRC, Psycho-acoustic Bass Extension, Microphone and Speaker Arrays
Experience in Acoustics and Consumer Audio EE Architecture
Knowledge of Music Enhancement Audio algorithms, telecommunication standards, human perception of spatial sound, machine learning techniques and/or neural network implementation
Experience developing audio algorithms
