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X This is a specialized role which requires physical interaction with hardware equipment in a simulated data center environment, utilizing Google labs, power, and safety equipment. Regular development and processing of engineering hardware must be performed on site.
Minimum qualifications:- Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
- 4 years of experience working in a power electronics technical environment, or 3 years of experience with an advanced degree.
Preferred qualifications:- Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field.
- 1 year of experience in technical leadership.
- Experience in power measurement equipment such as oscilloscopes, programmable power supplies, spectrum analyzers, DMMs and function generators.
- Proficiency in scripting languages, Python, Linux for test automation, data collection and analysis.
- Knowledge of one or more of the following: DC-DC converters, open compute power architecture, SoC power architecture, and component-/tray-/rack-level power management and optimization.
- Understanding of power testing methodologies and expertise in bench level Hardware (HW) validation using test equipment.
About the jobAs a Senior Hardware Test Engineer, you will be supporting a team of hardware board and power designers who are responsible for prototype bring-up, validation, qualification, and failure analysis of server-related technologies such as Central Processing Unit (CPU), Double Data Rate (DDR) memory, storages, onboard power and high-speed interconnects. You will also be responsible for liaison between Hardware (HW) engineering teams and the lab team to ensure lab resources are accounted for and to ensure we are 'lab-ready' for new products entering the Research and Development (R&D) labs or sustaining efforts.
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 $159,000-$231,000 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- Define, execute and document electrical characterization, validation and qualification of on-board system-level power distribution network, covering from the power converter design to Application-Specific Integrated Circuit (ASIC) power integrity validation.
- Work with minimal guidance to troubleshoot and root cause electrical component level defects and design issues.
- Support design engineers with debug, component validation, and failure analysis of released products.
- Develop test procedures for general qualification and targeted testing of Devices Under Test (DUTs) using automated/scripted tests as part of a larger automation suite.
- Collect and analyze aggregated data to enable data driven engineering decisions during HW R&D, report on findings, reduce test data, and investigate test outcomes thoroughly down to a hardware interface or component level.
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