Senior Product Engineer, ML Accelerators

Join Google's Machine Learning Supply Chain and Operations (MLSCO) team as a Senior Product Engineer focused on ML Accelerators. This role is part of the team responsible for deploying Machine Learning capacity in Google's Fleet, specifically leading cross-functional program planning and execution for next-generation Machine Learning systems.

As a Senior Product Engineer, you'll be working at the intersection of hardware and machine learning, developing custom silicon solutions that power Google's future products. Your responsibilities will include leading technology assessments for new products, collaborating with Quality and Reliability Engineers, and providing crucial support for pre-production builds.

The position requires strong technical expertise in manufacturing, PCBA, and system assembly, combined with the ability to work cross-functionally with various teams. You'll be instrumental in influencing design decisions, identifying manufacturing risks, and developing mitigation plans. The role offers the opportunity to work with cutting-edge technology while ensuring the highest standards of product quality and reliability.

This remote position is based in Mexico and requires Mexican citizenship in compliance with local labor laws. You'll be part of Google's Technical Infrastructure team, which is fundamental in keeping Google's vast network of services running efficiently. The role combines technical expertise with leadership responsibilities, making it an excellent opportunity for experienced engineers looking to impact Google's machine learning infrastructure.

The position offers the chance to work with state-of-the-art technology while collaborating with talented engineers across Google. You'll be at the forefront of developing and implementing next-generation machine learning systems, making this an exciting opportunity for those passionate about both hardware and ML technology.