Hardware Validation Engineer, Cloud Platforms

Hardware Validation Engineer, Cloud Platforms

_corporate_fare_ Google _place_ Sunnyvale, CA, USA

** Early*
* Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.

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XThis 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.

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* Minimum qualifications:

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* + 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.

+ Certification in Cisco Certified Network Associate (CCNA).

+ 1 year of experience working in a hardware engineering technical environment.

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Experience with Linux, networking, network troubleshooting, failure diagnosis, data center server, debugging/troubleshooting.

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* Preferred qualifications:

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

+ Experience working within a data center or networking operation center environment.

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Experience with network design, protocols, and troubleshooting.

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Experience with computer systems (e.g., physical, functional, logical, mechanical, electrical, software, thermal, etc.).

+ Experience reading and writing code in Python or other scripting language.

** About the job*
* As an Hardware Validation Engineer, you will make technical contributions under the scope of a medium-scale design or design validation project with general guidance from managers. You will implement, test, maintain, and contribute to the design of multiple subsystems and will help in developing hardware designs. You will prepare and provide all types of documents including but not limited to concept designs, drawing markup, budget, schedule, design validation plan or results, or factory test and acceptance documents.

You will apply standard tools, resources, and processes to solve defined problems within a design project (e.g., modifying an existing design). As you will contribute to cross-project collaborations, you will appropriately share knowledge relevant to well-defined tasks (e.g., communicate objectives, timelines, progress, hurdles, and emergent issues and risks). You will also engage in community contributions to improve and sustain our culture and operations making Google a better place to work.

You will support new product engineering and development in Google's hardware research and development (R&D) labs by helping to design, build, and maintain system-level testbeds (think data center-scale).

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $108000 - $153000 (USD) + 15% bonus target + bonus + equity + benefits

Learn more about benefits at Google () .

** Responsibilities*
* + Help design and build system-level testbeds and maintain lab space, tools and infrastructure.

+ Work with teams to develop software and hardware systems and develop methodologies and tools to support team members.

+ Coordinate the interactions between labs and engineering.

+ Anticipate…