Audio Tuning Engineer

Role: Audio Render Tuning Engineer

Location: Redmond, WA

Duration: 12 Months

Job Description:

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 SoundCheck, 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 (AudioWeaver, 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.

Must have:

• 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).