Job Description

Minimum qualifications:

• PhD in Power Electronics, a related discipline, or equivalent practical experience.
• Experience with power electronics and various power conversion designs for data center power delivery.
• Experience with power converter modeling and simulation.

Preferred qualifications:

• Experience in power converter design including AC/DC rectifiers, battery backup unit, DC/DC multiphase converters, etc.
• Experience with data center product hardware and system design.
• Experience in power system design.
• Ability to start a full-time role in 2026.

About the job

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 force 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.

Responsibilities

• Provide power engineering insight to design and develop system and subsystem boards for next generation server and storage products that involve new technologies or new uses of multiple existing technologies.
• Engage cross-functionally to ensure successful roll-out, testing and complete validation.
• Partner with power industry leaders to lead the evaluation and adoption of the most compelling technologies.
• Provide technical leadership and direction while troubleshooting complex system level power delivery issues.
• Provide sustaining engineering support and optimize hardware design on existing products.