Data Center Product Engineer, Machine Learning Accelerators

Google's Machine Learning Supply Chain and Operations (MLSCO) team is seeking a Data Center Product Engineer to join their Machine Learning Accelerators division. This role is part of the team responsible for deploying Machine Learning capacity in Google's Fleet, focusing on next-generation machine learning systems from concept to end of life.

The position combines hardware engineering expertise with machine learning infrastructure, requiring deep knowledge of manufacturing processes, PCBA assembly, and system integration. You'll work at the intersection of Google's custom silicon solutions and data center operations, contributing to the infrastructure that powers Google's vast array of services.

As a Data Center Product Engineer, you'll lead technology assessments for new products, collaborate with cross-functional teams, and drive quality improvements in manufacturing processes. The role requires strong technical leadership in hardware manufacturing, along with the ability to influence design decisions and manage complex production challenges.

The ideal candidate will bring a combination of manufacturing expertise, technical knowledge of machine learning hardware, and strong project management skills. This position offers the opportunity to work on cutting-edge ML accelerator technology while ensuring robust manufacturing processes and quality standards.

Working remotely from Mexico, you'll be part of Google's Technical Infrastructure team, which is fundamental to maintaining and advancing Google's product portfolio. The role offers the chance to impact the future of Google's machine learning infrastructure while working with state-of-the-art hardware solutions.