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Audio Render Tuning Engineer

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Role: Audio Engineer – V Location: Redmond, WA – Onsite
We are looking for a contingent Audio Render Tuning Engineer to support Meta’s research AR glasses audio program. This role focuses on render-path DSP tuning of the speaker system using Meta’s internally-developed embedded audio processing framework and tuning tools. The successful candidate will be hands-on in the lab, working closely with the Research Audio team to deliver a tuned, shipping-quality speaker experience.

Render DSP Tuning: Perform speaker render-path tuning for research AR glasses using the company’s internally-developed embedded audio DSP framework and associated MATLAB-based tuning tools
Tuning Components: Design and apply equalization filters, tune dynamic range compression and limiter parameters to optimize loudness, dynamics, sound quality, and distortion across use cases (media, voice, speech) while preserving speaker integrity
Measure devices to establish baseline performance, collect frequency response, distortion (THD), and impedance data in anechoic or controlled acoustic environments
Tuning Profile Management: Generate, compile, and validate tuning profiles via Meta’s internal tuning toolchain for deployment to device firmware
Maintain tuning documentation, test reports, and configuration records for each tuning iteration and release candidate
Tool Onboarding: Ramp up on Meta’s internal audio DSP ecosystem including graphical pipeline editors, render tuning tools, and device control utilities with support from internal tooling teams

Prior experience performing audio systems render tuning for consumer electronics products (AR/VR glasses, hearables, headphones, wearables, telecom devices, smart speakers)
Audio Precision (APx series), Listen SoundCheck, HEAD acoustics ACQUA) and measurement transducers
Experience with MATLAB for audio signal processing, filter design, and tuning tool workflows
Ability to work independently on tuning tasks while collaborating with a broader audio engineering team
Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Acoustics Engineering, or a related technical discipline

Exposure to DSP frameworks or audio middleware (AudioWeaver, Qualcomm QACT, or similar embedded audio toolchains)
Exposure to firmware-level audio bring-up or ADSP integration workflows
Experience with capture-path audio tuning including any of beamforming and spatial filtering, noise suppression, wind noise rejection, wake-word/keyword detection and speech recognition testing, capture-path gain staging and mic array calibration.

Audio DSP fundamentals. Ability to apply and tune existing algorithms on an audio system (an audio systems engineer profile). Writing algorithms from scratch is not required.

Direct AR/VR glasses or other head-worn audio device experience.
Exposure to embedded audio middleware or firmware-level audio bring-up (Audio Weaver, Qualcomm QACT, ADSP integration).

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