Design, develop, and test audio systems and technologies for wearables products
Collaborate with cross-functional teams to drive innovative solutions and champion best practices for audio system design
Analyze, define, tune, and debug real-time audio capture systems for forward-looking products and user experiences
Develop and manage operations in audio labs, including standardized verification and novel experiments
Conduct HW and SW testing on consumer electronics, product benchmarking, and data collection for algorithm tuning and development
Support product and audio technology demo setup
Minimum Qualifications
Bachelor's or Master's degree in Acoustics, Electrical Engineering, Computer Science, Digital Signal Processing or a related field, and/or equivalent industry experience
6+ years of experience in audio system design, acoustic simulation, and digital signal processing
Experience with audio hardware testing and related tools, such as HATS, precision microphones, anechoic chambers
Proficiency in programming languages such as MATLAB, Python, and/or MaxMSP
Effective communication, documentation, and presentation skills
Preferred Qualifications
Experience with psycho-acoustic metrics for speech quality and intelligibility
Experience independently driving audio workstreams in a dynamic cross-functional environment, from product concept to mass production
Familiarity with human perception of spatial sound
Familiarity with typical DSP building blocks such as digital biquad filters, IIR, FIR, AGC, wide-band/multi-band DRC, and audio capture algorithms such as beamforming, echo cancellation, and noise suppression
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Experience in acoustics and consumer audio EE architecture
Familiarity with acoustic simulation software, e.g. COMSOL
Familiarity with audio algorithm development and/or machine learning techniques
4+ years of experience designing and deploying objective test methodologies for consumer electronics devices and audio algorithms or features such as voice communication, voice assistant, video capture
4+ years of experience defining, tuning, and testing efficient microphone-array processing and real-time audio capture algorithms