Generative AI Accelerator Architect and Performance Architect

Generative AI Accelerator Architect and Performance Architect

Share Generative AI Accelerator Architect and Performance Architect

X In most instances, this position requires in-person interviews as part of the hiring process.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Diego, CA, USA .

• Bachelor's degree in Computer Science, Electrical Engineering or a related field, or equivalent practical experience.
• 10 years of work or academic research experience in computer or chip architecture, performance, or compiler.
• Experience with modern Generative AI model architectures (e.g., Large Language Models, Vision Transformers, Image Diffusion Models, etc.).
• Experience with one or more general purpose programming languages (e.g., C, C++, or Python) and deep learning frameworks (e.g., TensorFlow, JAX, or PyTorch).

Preferred qualifications:

• Master's or PhD degree in Computer Science or Electrical Engineering.
• Experience in compute IP (NPU/TPU, GPU) development, system PnP modeling and thermal/power analysis.
• Experience with design space explorations and hardware/software co-design for machine learning.
• Proven track record in driving medium to large scale projects and result delivery.

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 team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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 team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

• Drive forward-looking GenAI ML architecture exploration for Tensor mobile SoCs while collaborating with research teams, system architecture teams, and compiler engineers to optimize future workloads from both all perspectives across the tech stack including hardware, software, use case, network, and external components.
• Work with researchers and Product Manager (PM) teams to define system architecture requirements for future Generative AI use cases.
• Apply advanced research in architecture and process technology to get breakthrough power and performance improvements on Generative AI workloads.
• Optimize performance of GenAI use cases by defining an optimal model scheduling on the TPU compute engines.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.