Audio Render Tuning Engineer

BCforward; Redmond; On-site; AUD 171,000 - 256,000; Full time

Job summary

Meta is seeking a contingent Audio Render Tuning Engineer to support its AR glasses audio program. The role centers on render-path DSP tuning of the speaker system using Meta's embedded audio processing framework and MATLAB-based tuning tools.

You will be hands-on in the lab, collaborating with the Research Audio team to deliver tuned, shipping-quality audio. The ideal candidate has hands-on DSP tuning experience for consumer electronics, strong knowledge of EQ/DRC/limiting, and proficiency with

Qualifications

• Hands-on experience tuning render paths for consumer electronics.
• Strong understanding of EQ, DRC, limiting and speaker protection.
• Experience with lab measurements in anechoic or controlled environments.
• Bachelor's degree in Electrical/Mechanical/Acoustics Engineering or related field.

Responsibilities

• Render DSP Tuning: perform speaker render-path tuning for AR glasses using in-house DSP framework and MATLAB-based tools.
• Tuning Components: design and apply EQ, tune DRC and limiter parameters to optimize loudness, dynamics, sound quality and distortion.
• Speaker Characterization & Baseline Measurement: measure devices to establish baseline performance and collect frequency response, THD, and impedance data.
• Tuning Profile Management: generate, compile and validate tuning profiles for deployment to device firmware.
• Collaboration with Cross-Functional Teams: work with hardware, firmware, algorithms and research teams to align tuning with system requirements.
• Documentation: maintain tuning docs, test reports and configuration records for each iteration.
• Tool Onboarding: ramp up on internal audio DSP ecosystem with support from tooling teams.

Skills

Hands-on DSP tuning

Attention to detail

Independent work

Collaborative teamwork

Education

Bachelor's degree in Electrical/Mechanical/Acoustics Engineering or related

Tools

MATLAB

Audio Precision APx

Listen SoundCheck

HEAD acoustics ACQUA

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 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).