The Generative AI Accelerator Architect and Performance Architect role at Google focuses on developing custom silicon solutions that enhance the performance of Generative AI workloads. The position involves collaboration with research teams and product managers to define system architecture requirements for future AI use cases. The architect will leverage advanced research in architecture and process technology to achieve significant power and performance improvements. This role is critical in shaping the next generation of hardware experiences for Google's products.

• 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 such as Large Language Models and Vision Transformers.
• Proficiency in one or more general purpose programming languages like C, C++, or Python, and deep learning frameworks such as TensorFlow, JAX, or PyTorch.

• Drive forward-looking Generative AI ML architecture exploration for Tensor mobile SoCs.
• Collaborate with research teams, system architecture teams, and compiler engineers to optimize future workloads.
• Define system architecture requirements for future Generative AI use cases in partnership with researchers and product managers.
• Apply advanced research in architecture and process technology to achieve breakthrough power and performance improvements on Generative AI workloads.
• Optimize performance of Generative AI use cases by defining an optimal model scheduling on the TPU compute engines.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.