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Generative AI Accelerator Architect and Performance Architect

Google
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Hybrid (Mountain View, CA; San Diego, CA)$192k - $278kFull-timePosted 1w ago

About the role

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, shaping the next generation of hardware experiences with unmatched performance and efficiency.

Responsibilities

  • 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.

Qualifications

  • 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).

Skills

Required:Generative AI model architecturesProgramming languagesDeep learning frameworks

Benefits

  • Learn more about benefits at Google (linked in posting)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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