Define and drive the technical roadmap and architecture for the hardware/software stack, ensuring unparalleled performance for the training and serving of large ML models. Act as the technical liaison between advanced research, software, and hardware teams, steering model architecture innovation to maximize scaling, quality, and hardware efficiency. Architect and oversee the development of next-generation configurable simulation frameworks and cycle-accurate performance models, setting the standard for how the organization evaluates complex micro-architectural decisions.
Advocate system-level performance analysis across highly distributed ML systems, innovating new methodologies to balance compute, memory bandwidth, and inter-chip network requirements. Manage cross-functional partnerships across hardware engineering, compiler development, and ML research to influence broad organizational strategy and transition paradigm-shifting concepts into production.
Job description provided by Google.
View the original posting
