Full Description

MINIMUM QUALIFICATIONS

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.

• 4 years of experience working in a Storage Hardware Validation technical environment.

PREFERRED QUALIFICATIONS

• Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).

• Experience collecting and organizing data to reproduce results and explain what happened.

*** Understanding of the storage system:** (e.g., physical, functional, logical, mechanical, electrical, software, thermal etc), as well as how to test the interfaces.

• Familiarity with HDD, SSD or Tape technologies and the software stack that supports them.
• Ability to use scripting and automation to execute test algorithms, and then analyze results.
• Excellent communication skills.

ABOUT THE JOB

As a Storage Test and Qualification Engineer, you will qualify new Hard Disk Drive, Solid-state Drive (HDDs, SSDs), Tape media and all of the supporting software stack behind them, for successful usage in Google data centers.

Google's custom-designed machines make powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is works as intended and is reliable. You will plan for and execute these tests at scale in the most effective way possible. Work closely with development engineers, you will give inputs on designs to improve our hardware and systems until you're sure it meets Google's standards of quality, reliability, and security.

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.

The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.