Senior Product Engineer, Global Manufacturing Engineering

Google•Atlanta, GA

5d•$144,000 - $209,000

About The Position

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 Senior Product Engineer, you will serve as the strategic technical lead architecting the transition from design to global manufacturing for Google’s next-generation data center infrastructure. You will own the technical roadmap for platform deployment, spanning servers, storage, and accelerators, by defining Design for Manufacturing standards and steering the manufacturing strategy that enables Google to scale with unrivaled speed and precision. You will act as the authority on hardware lifecycle health, moving beyond reactive troubleshooting to proactively drive systemic improvements in yield, test coverage, and operational efficiency. By leading complex root-cause investigations into global field escapes and influencing upstream design changes, you will bridge the gap between internal engineering and global partners to ensure our infrastructure remains the most reliable and cost-effective architecture in the world. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Requirements

Bachelor's degree in Computer Science, Electrical Engineering, Mechatronics, a related technical field, or equivalent practical experience.
8 years of experience in manufacturing.
8 years of experience in product engineering, manufacturing or development management.

Nice To Haves

Master’s degree or Doctor of Philosophy (PhD) in Electrical, Mechanical, Industrial, Materials, or a related engineering field.
10 years of experience in product engineering, manufacturing or development management.
Experience developing and integrating manufacturing hardware using custom electronics, specialized fixturing, and instrumentation in collaboration with global contract manufacturing partners.
Experience in technical leadership roles and project management, with the ability to manage complex initiatives and deliver clear executive-level communication.

Responsibilities

Lead the end-to-end build, optimization, and deployment of high-complexity data center hardware platforms, including servers, storage, switches, racks, and accelerators, across global manufacturing partners.
Architect design for manufacturing requirements and steer the overarching manufacturing strategy by engaging early in the New Product Introduction (NPI) lifecycle to influence upstream architectural decisions.
Serve as the executive technical authority for Root Cause Corrective Action (RCCA) on manufacturing yield issues and data center field escapes, defining data collection activities to drive systemic preventive measures.
Define and execute the design, optimization, and qualification of manufacturing processes for complex components and products, ensuring all hardware meets high-caliber performance and reliability standards.
Drive cross-functional initiatives with internal engineers and manufacturing partners to improve product efficiency, broaden test coverage, and reduce operational costs through proactive product design and process changes.