Senior ML Compiler Engineer, Silicon

Google is seeking a Senior ML Compiler Engineer to join their Silicon team, focusing on developing Machine Learning (ML) compilers for the Tensor TPU to accelerate Generative AI and other complex machine learning models running on custom hardware accelerators. This role combines software engineering expertise with specialized knowledge in compiler development and machine learning systems.

The position offers an opportunity to work at the intersection of machine learning and hardware optimization, developing critical compiler technologies that power Google's ML infrastructure. You'll be responsible for building and optimizing compilers that map ML models to hardware architectures, with a particular focus on always-on computing use cases.

As part of Google's broader mission to organize the world's information, you'll work with cutting-edge technology, collaborating with machine learning researchers and hardware engineers to improve domain-specific compilers and evolve future accelerators. The role involves working on significant projects like Gemini Nano, Camera, Imaging, and Speech ML models for the Pixel Edge TPU.

The ideal candidate brings strong technical expertise in compiler development, system optimization, and machine learning, combined with the ability to manage project priorities and deliverables. This position offers the chance to impact billions of users by improving the efficiency and performance of Google's ML systems while working with some of the most advanced hardware accelerators in the industry.

Working at Google's Bengaluru office, you'll be part of a team that combines the best of Google AI, Software, and Hardware to create radically helpful experiences. The role requires both technical depth in compiler development and the ability to collaborate across teams to drive innovation in machine learning hardware acceleration.