Power Engineer, PhD, Early Careers

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

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.

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.