Accelerator Architect and Performance Engineer, Generative AI

Company: Google
Location: Mountain View
Posted on: May 12, 2025

Job Description:

Accelerator Architect and Performance Engineer, Generative AI

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  Experience owning outcomes and decision making, solving ambiguous problems, and influencing stakeholders; deep expertise in the domain.
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    info_outline info_outline X Info 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.
    Minimum Qualifications
    
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    • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
      
    • 8 years of work or academic research experience in computer or chip architecture, performance, or compiler.
      
    • Experience with Generative AI model architectures (e.g., Large Language Models, Vision Transformers, Image Diffusion Models, etc.).
      
    • Experience with one or more programming languages including C/C++ or Python and deep learning frameworks like TensorFlow/Jax/Pytorch.
      
      Preferred Qualifications
      
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      • Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science, emphasizing computer architecture.
        
      • Experience with domain-specific accelerators.
        
      • Experience with distributed/parallel programming.
        
      • Experience with hardware/software co-design for machine learning.
        
      • Experience with simulator development and micro-architecture.
        
        About the Job
        Join a team that pushes boundaries by developing custom silicon solutions powering Google's future products. Contribute to innovations behind products used worldwide, shaping the next generation of hardware for 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 AI, Software, and Hardware to create helpful experiences, researching, designing, and developing new technologies to make computing faster, seamless, and more powerful. Our goal is to improve people's lives through technology.
        Responsibilities
        
        
      • Drive forward-looking Generative AI Machine Learning architecture exploration for Tensor mobile SoCs, collaborating across research, system architecture, and compiler teams to optimize workloads across the tech stack.
        
      • Work with researchers and Program Management to define system architecture requirements for future Generative AI use cases.
        
      • Apply advanced research in architecture and process technology to achieve power and performance breakthroughs on Generative AI workloads.
        
      • Optimize performance of Generative AI use cases by defining optimal model scheduling on TPU compute engines.
        
        Google is proud to be an equal opportunity employer. We are committed to building a diverse workforce and providing equal employment opportunities 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 conditions. See Google's EEO Policy and related resources for more information.
        As a global company, English proficiency is required for all roles unless otherwise stated.
        Note: Google does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. We are not responsible for fees related to unsolicited resumes.
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