About the job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

Responsibilities

• Own the outcome for the complete audio playback system solution on wearable devices, including defining, tuning, validation, and debugging.

• Lead the analysis, evaluation, and bench marking of audio enhancement algorithms using objective and subjective methods.

• Drive alignment and technical coordination with acoustic engineers on loudspeaker architecture and placement on devices.

• Collaborate with internal developers and external vendors to integrate and refine systems to meet next-generation product requirements.

• Partner with cross-functional teams (e.g., Electrical Engineers, Acoustics, Algorithms, Product Management) to resolve system tests and deliver quality audio playback performance. Contribute to the product road maps by investigating new technologies and delivering features.

Minimum qualifications

• Bachelor's degree in Electrical Engineering, Computer Science or a related field, or equivalent practical experience.

• 4 years of experience in consumer hardware.

• Experience with music and media tuning, digital filter design, bass enhancement algorithms, spatial sound, and speaker arrays.

• Experience with standard audio measurement tools (e.g. Sound Check, Audio Precision, and Audition).

Preferred qualifications

• Master’s degree or PhD in Electrical Engineering, Computer Science, Acoustics, or a related field.

• 9 years of experience in consumer hardware industry.

• Experience with Machine Learning (ML) based audio enhancement and with acoustics and audio electrical engineering architecture.

• Experience with subjective and objective audio quality assessment.

• Experience with audio playback applications with managing conflicting system requirements.

• Excellent listening skills and a passion for audio performance.