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 involves working at the intersection of machine learning and hardware optimization, building tools that efficiently map ML models to hardware architectures. You'll be particularly focused on always-on computing use cases and optimizing performance, power consumption, and memory usage. The role requires collaboration with both ML researchers and hardware engineers to evolve compiler technology and future accelerators.

As part of Google's broader mission to organize the world's information, you'll be working on critical projects that impact billions of users. The team combines Google's expertise in AI, Software, and Hardware to create innovative solutions. You'll be specifically involved in productizing ML workloads on the Pixel Edge TPU, including work with Gemini Nano, Camera, Imaging, and Speech ML models.

This is an excellent opportunity for someone with strong compiler experience who wants to work on cutting-edge ML hardware acceleration technology. The role offers the chance to impact Google's ML infrastructure while working with state-of-the-art technology and collaborating with leading experts in both machine learning and hardware design.