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Senior Storage Qualification Engineer, Google Cloud

Google • Operating Systems • Streaming & OTT Platforms • Bachelor's Degree • Python • 2 days ago

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Salary

≈ $20k – $50k per year (Estimated)

Location

In office (Taipei)

Seniority

Senior · 4+ years exp

Confirmed on the employer's own hiring board on Oct 6, 2026. First seen by Alion on Oct 5, 2026. Google scores B on the Alion truth index.

Overview

Company

Impact

Profile match

Google

Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

google.com • HQ: Mountain View, United States • Streaming & OTT Platforms • Consumer Internet Groups • Foundation Models • Operating Systems • Cloud Platforms (IaaS & PaaS) • Video & Photo Sharing • Advertising • Search Engines • 11-50 employees • Est. 1998

Tech stack of Google

Backed by Y Combinator, Frontline, Seraphim Space

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 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

Lead storage projects by defining comprehensive test plans and coordinating execution across multiple validation environments.
Execute electrical, functional, reliability, and performance testing to verify hardware satisfies rigorous quality and engineering standards.
Triage bugs, identify anomalies, and collaborate with cross-functional teams and external suppliers to drive swift root-cause resolution.
Continuously refine test methodology, efficiency, and qualification workflows across product generations.
Develop, maintain, and optimize test framework scripts to advance automated hardware validation.

Qualifications

Minimum qualifications:

Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
4 years of experience working in storage and server system technical environments, or 3 years of experience with an advanced degree.

Preferred qualifications:

Master's or PhD in Electrical Engineering, Computer Engineering, or a related technical discipline.
Experience managing storage/server NPI projects and driving hardware qualification alongside JDM/original device manufacturer (ODM) partners.
Ability to reproduce failures, conduct root-cause analysis, and close complex technical issues.
Understanding of storage/server architecture across electrical, mechanical, and functional domains throughout the product development lifecycle.
Proficiency in Linux, Python, and shell scripting, paired with data analysis skills to characterize failure modes at scale.

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