Hardware Test Validation Engineer

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field or equivalent practical experience.
• 5 years of experience with Test Management (e.g., test methodologies, planning, execution, and reporting) in a data center environment or with hardware testing, process validation, or software testing.
• 5 years of experience with process or workflow definition and development in a data center environment.
• 5 years of experience in leading projects or programs related to integration and maintenance processes.

Preferred qualifications:

• 4 years of experience with test methodologies, planning, execution within a data center environment.
• Experience with hardware testing, process validation, or software testing.
• Experience in troubleshooting functional and integration test failures that impact multiple engineering disciplines.
• Experience in leading projects or programs consisting of integration and verification functions.
• Experience with test methodologies, planning, execution, and reporting.
• Knowledge of the overall systems integration process, with the ability to implement test procedures.

About the job

Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability.

In this role, you will validate hardware design, software tooling and process workflows for L10/L11 systems. You will own verification strategy and drive test execution across a portfolio of projects, ranging from network switches to machine learning pods. You will reduce the time and cost for L10/L11 installation, maintenance, and repairs. You will interface with stakeholders from Data center, Manufacturing and Product Design to identify and validate operational risks. You will influence new platform architectures through technical insights that mitigate risks found during validation tests. You will collaborate with Hardware and Software Test Engineers to build in-house ability in Design for Operations.

The AI and Infrastructure team works on the world’s toughest problems, redefining what’s possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. We’re at the center of amazing work at Google by being the “flywheel” that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services.

In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies.

The US base salary range for this full-time position is $113,000-$161,000 + 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.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Validate New Product Introduction (NPI) systems against technical requirements that includes L10/L11 system from the data center loading dock to installation to production to decommissioning.
• Author product tailored test plans based on data center insights into product design, software tools and process workflows. Create, modify, or deprecate verification tests that reflect changes to the technical requirements.
• Author test reports of the risk to the product and recommended risk mitigation steps. Ensure on time delivery of test cases while gathering data and documenting test life-cycle.
• Identify and implement opportunities for leveraging automation to ensure the execution of test and report processes.
• Communicate product risks to the cross-functional teams of engineers from Data center, Manufacturing and Product Design. Utilize established channels to communicate test updates, project trade-offs, technical recommendations, and escalations.