Storage Qualification Hardware Engineer, Google Cloud

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

• Create test plans and coordinate resource allocation across the test environments.
• Conduct electrical, functional, reliability, and performance testing to ensure hardware meets quality and safety standards.
• Identify bugs, partner with cross-functional teams and external suppliers for root cause analysis, and drive issues to closure.
• Enhance test efficiency and quality across hardware generations by refining qualification processes and methodologies.
• Design, develop, and maintain test framework scripts to expand test automation coverage.

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field, or equivalent practical experience.
• 2 years of experience working in storage and server system technical environments, or an advanced degree.

Preferred qualifications:

• Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
• Experience working with Joint Design Manufacturer (JDM) or Original Device Manufacturer (ODM) partners on storage or server product qualification and development.
• Knowledge of Linux, Python, and shell scripting, along with an understanding of physical and mechanical aspects of server systems.
• Ability to characterize product quality using data analysis to enable failure analysis and root cause identification.
• Excellent communication skills.