Duration: 12 months Role Summary We are looking for a contingent Audio Render Tuning Engineer to support client's research AR glasses audio program. This role focuses on render-path DSP tuning of the speaker system using client'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 client'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 client's internal audio DSP ecosystem including graphical pipeline editors, render tuning tools, and device control utilities with support from internal tooling teams Strong signals we value End-to-end ownership of an audio feature (modeling through evaluation); a balance of structured listening and objective measurement (frequency response, THD, distortion, compression, attack/release); comfort in a matrixed org 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). Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.
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