About the job
Our team is at the heart of defining and delivering compelling, high-quality audio experiences across Google's Pixel ecosystem, including Phones, Hearables, Wearables, and future devices. We own the overall audio system architecture, from concept to launch. We are responsible for creating innovative audio roadmaps, driving cutting-edge performance and power efficiency, and ensuring timely execution of audio solutions. We thrive in a dynamic environment, often dealing with ambiguous problem spaces to define and architect next-generation audio capabilities. In this role, you will require a strong ability to navigate and bridge the gap between hardware and software domains, collaborating deeply with cross-functional teams including Hardware, Software, Silicon, Research, UX, and Product Management.
Responsibilities
Lead the definition of the end-to-end system audio architecture for new Pixel products and features, demonstrating technical leadership and goal.
Execute experiments including the design, implementation (prototyping), analysis, and communication of results.
Translate product concepts and user experience goals into scalable technical specifications, encompassing hardware components, software frameworks, APIs, and algorithms.
Architect and drive solutions that span across hardware and software boundaries, ensuring seamless integration and optimal performance.
Drive the resolution of complex system-level trade-offs and challenges related to audio experience delivery, and collaborate across disciplines to integrate research into Google products.
Qualifications
Minimum
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
4 years of experience in audio systems architecture, design, or development.
1 year of experience with MATLAB or Simulink.
Experience in one or more of the following: Large Language Models (LLMs), Natural Language Processing (NLP), Automatic Speech Recognition (ASR), Text-to-Speech (TTS), or ML/AI using C, C++, Python.
Preferred
PhD in Electrical Engineering, Computer Science, or a related field specializing in audio.
Experience shipping high-volume consumer electronic devices, particularly within phone, hearables, wearables.
Experience with technical leadership including setting direction and driving business impact.
Expertise in generative AI and speech research, including first-author publications at top AI conferences (e.g., NeurIPS, ICML, InterSpeech, etc.).
Expertise in audio frameworks and standards (e.g., android audio, bluetooth audio, LE audio).
Understanding of end-to-end audio signal chains, audio processing concepts, and acoustics.