Senior Product Engineer, ML Accelerators

Join Google's Machine Learning Supply Chain and Operations (MLSCO) team as a Senior Product Engineer focusing on ML Accelerators. This role combines hardware engineering expertise with machine learning infrastructure, working on custom silicon solutions that power Google's direct-to-consumer products. You'll be responsible for leading technology assessments, collaborating with quality teams, and ensuring successful product launches.

The position requires deep expertise in manufacturing processes, particularly in PCBA and system assembly, while working with contract manufacturers and suppliers. You'll be instrumental in driving root cause analysis, implementing corrective actions, and maintaining continuous process improvements. The role offers the opportunity to work with cutting-edge ML hardware systems and influence the next generation of Google's ML infrastructure.

As part of the Technical Infrastructure team, you'll contribute to maintaining and developing Google's data centers and platforms. The position combines hands-on technical work with cross-functional leadership, requiring both engineering expertise and project management skills. This remote-eligible position is based in Mexico and requires Mexican citizenship in compliance with local labor laws.

The ideal candidate should have strong technical skills in hardware engineering, experience with ML accelerator products (GPU, FPGA, or ASIC), and proficiency in SQL and Python. This role offers the opportunity to shape the future of Google's ML infrastructure while working with cutting-edge technology and leading cross-functional teams.