Senior ML Compiler Engineer, Silicon

Google is seeking a Senior ML Compiler Engineer to join their team working on cutting-edge machine learning compiler technology. This role focuses on developing ML compilers for the Tensor TPU to accelerate Generative AI and other complex machine learning models running on custom hardware accelerators.

The position combines software engineering excellence with specialized knowledge in compiler development and machine learning systems. You'll be working at the intersection of ML and hardware optimization, developing solutions that will impact billions of users through Google's products.

As part of Google's mission to organize the world's information and make it universally accessible, you'll be working with a team that combines the best of Google AI, Software, and Hardware. The role involves building compilers and tools for ML models, particularly focusing on always-on computing use cases, and mapping these to hardware architectures.

The ideal candidate will have strong experience in compiler development, machine learning systems, and software engineering. You'll be collaborating with ML researchers and hardware engineers, working on projects like Gemini Nano and various ML workloads for Pixel Edge TPU.

This is an opportunity to work on next-generation technologies at Google, where you'll have the chance to impact how billions of users connect, explore, and interact with information. The role offers the perfect blend of technical challenges, innovation, and real-world impact in the field of machine learning and compiler optimization.