Lead the strategic direction for the GPU Instances and Infrastructure organization, aligning its goals with Google Cloud AI's overarching objectives and maximizing the impact of GPU acceleration across the company's initiatives.
Collaborate with partner engineering teams within Product Areas, business teams, and across Google to integrate GPU acceleration into Google's systems and solutions, ensuring alignment with overarching goals and objectives.
Oversee the development and delivery of GPU-accelerated products and solutions, including cross-stack systems that integrate GPU acceleration across different parts of the technology stack, including Frameworks, Data Management, Training, and Inference.
Play a role in leveraging GPU acceleration for the training and inference of large language models, ensuring efficient and scalable performance for computationally demanding tasks.
Work with internal and external partners to identify and adopt the latest innovations in GPU technology and chip-to-chip interconnects.

Director of Engineering, GPU Instances and Infrastructure

Job Description