Hardware Test Engineer, Verification Engineering 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. Google's Cloud Supply Chain and Operations (CSCO) team is seeking a System Verification Engineer to validate Hardware Design, Software Tooling and Process Workflows for the next generation of primarily L10/L11 systems. In this role, you will own verification strategy and drive test execution across a portfolio of projects, ranging from network switches to machine learning pods. The primary goal is to reduce time and cost for L10/L11 installation, maintenance, and repairs. In order to achieve the goal, you will interface with stakeholders from the 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 competence in Design for Operations. 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 $93,000-$133,000 + 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 .
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees