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Google • Council Bluffs, Iowa, United States
Salary: $113,000 - $161,000 / year
Role & seniority: System Verification Engineer (mid-to-senior level) for Google CSCO Hardware Testing/Verification across L10/L11 systems
Stack/tools: test management; hardware testing and validation; data center workflows; systems integration; debugging with industry simulations and debug tools; development of validation plans and testing environments; collaboration with hardware/software test teams
Own verification strategy and drive test execution for a portfolio of hardware projects (network switches, ML pods)
Write detailed, product-tailored test plans and verification tests; create/update tests as requirements evolve
Produce test reports documenting risks and mitigations; ensure on-time delivery and utilize automation to accelerate testing and reporting; communicate risks to cross-functional teams
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field; or equivalent practical experience
5+ years in test management (planning, execution, reporting) in data center/hardware/software testing
Experience with systems integration, validation processes, and developing validation plans
Knowledge of hardware design, development, testing of physical components; hardware architecture design and trade-off analysis
Debugging proficiency and experience with industry-standard simulations and tools
Ability to develop testing environments an
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. Experience with systems integration and validation processes.
Knowledge of hardware engineering including design, development, and testing of physical components of a computer/device, and how to interact with the software. Knowledge of hardware architecture design and component interactions, including knowledge of how design choices affect components and systems, standards and protocols, and the ability to navigate trade-offs. Knowledge of debugging skills, and familiarity with using industry standard simulations and debug tools. Ability to develop and execute validation plans for hardware products based on the understanding of the architecture, design, and manufacturing process; this includes the development of a testing environment (e.g., stress stimuli, trackers).
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 be responsible to own verification strategy and drive test execution across a portfolio of projects, ranging from network switches to machine learning pods. Your 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 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 a sister team of 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 $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 NPI systems against technical requirements that span the journey of an L10/L11 system from the data center loading dock to installation to production to decommissioning. Write detailed, product tailored test plans based on data center-centric insights into product design, software tools and process workflows. Create, modify, or deprecate verification tests that reflect changes to the technical requirements Write detailed test reports with clear documentation of the risk to the product and recommended risk mitigation steps. Ensure on time delivery of test cases while gathering critical data and documenting test life cycle (setup, execution, etc.). Identify and implement opportunities for leveraging automation wherever possible to ensure the quick execution of test and report processes Communicate product risks uncovered by the verification tests to cross-functional team of engineers from data center, manufacturing and product design.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .