Google

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Minimum qualifications:

• PhD degree in Electronics and Communication Engineering, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience.
• Experience with accelerator architectures and data center workloads.

Preferred qualifications:

• Experience with performance modeling tools.
• Experience with data center product hardware and system design.
• Ability to start full-time role in 2025.

About the Job

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.

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

• Design and develop system and subsystem board for next generation Server and storage products.
• Work with Google platform teams and cross-functional teams on new technology and solutions.
• Provide sustaining engineering support and optimize hardware design on existing products.
• Develop and qualify system and board design.
• Manage schematics design, layout design, and troubleshooting.