Product Engineer, Machine Learning Accelerators, Google Cloud

### Minimum qualifications:

• Bachelor's degree in Engineering or equivalent practical experience.
• 10 years of experience in manufacturing
• Experience in PCBA (Printed Circuit Board Assembly) and related system.
• Experience in design for manufacturability and serviceability.

### Preferred qualifications:

• Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field.
• 12 years of experience in Manufacturing, Quality, or Product Engineering for hardware technology and systems.
• Experience in technical leadership, project management, and executive communication.
• Experience working with ODMs, contract manufacturers and component suppliers for data center server accelerator products (GPU, FPGA or ASIC).
• Experience working with contract manufacturers and suppliers to drive root cause analysis, corrective actions and continuous process improvements
• Knowledge of SQL queries and scripting in Python or Bash.

About the job

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Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

As a TPU Product Engineer, you will sit at the absolute epicenter of Google’s AI ambitions, bridging the critical gap between complex machine learning accelerator design and high-volume, high-quality global manufacturing. Next-generation AI hardware is incredibly complex, and our team ensures these systems are manufacturable, testable, and deeply reliable at scale. By joining this team, you will directly enable the rapid expansion and peak performance of Google’s ML services, scaling the physical infrastructure that shapes the future of technology.

You will engage in technical problem-solving at a globa...