Audio Render Tuning Engineer in Redmond

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.

Key Responsibilities

• 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

• Speaker Characterization & Baseline

Measurement: 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
• Collaboration with Cross‑Functional Teams: Work with hardware, firmware, algorithms, and research teams to align tuning with system‑level requirements
• Documentation: 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

• Required Qualifications
• Prior experience performing audio systems render tuning for consumer electronics products (AR/VR glasses, hearables, headphones, wearables, telecom devices, smart speakers)
• Understanding of render DSP tuning approaches (EQ, DRC, limiting, speaker protection) and hands‑on experience performing tuning in a lab environment
• Experience with electroacoustic measurement tools (e. g. Audio Precision (APx series), Listen Sound Check, HEAD acoustics ACQUA) and measurement transducers
• Experience with MATLAB for audio signal processing, filter design, and tuning tool workflows
• Strong attention to detail and systematic approach to parameter optimization and documentation
• Ability to work independently on tuning tasks while collaborating with a broader audio engineering team
• Understanding of speaker protection algorithms (excursion limiting, thermal protection, brownout protection)
• Bachelor's degree in Electrical Engineering, Mechanical Engineering, Acoustics Engineering, or a related technical discipline
• Preferred Qualifications
• Experience with speaker integration and transducer‑level characterization (T/S parameters, Klippel, impedance, excursion)
• Exposure to DSP frameworks or audio middleware (Audio Weaver, Qualcomm QACT, or similar embedded audio toolchains)
• Experience with volume table tuning and perceptual loudness optimization
• 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.
• Musthave
• Hands‑on DSP tuning on a speaker‑type device.

This is the single most important requirement.

Knowing about these algorithms or having tested them is not sufficient — the candidate must have personally performed the tuning.

• Audio DSP fundamentals.

Must understand what equalization, dynamic range compression, limiting, and speaker protection do, how they function, how they are used, and what the trade‑offs are.

• Ability to apply and tune existing algorithms on an audio system (an audio systems engineer profile). Writing algorithms from scratch is not required.
• Nice to have
• Direct AR/VR glasses or other head‑worn audio device experience.
• Transducer‑level characterization and speaker integration experience (T/S parameters, Klippel, impedance, excursion).
• Exposure to embedded audio middleware or firmware‑level audio bring‑up (Audio Weaver, Qualcomm QACT, ADSP integration).
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