Senior Hardware Test Engineer, Validation

Minimum qualifications:

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

Preferred qualifications:

• 4 years of experience with test methodologies, planning, execution, and reporting as a lead, individual contributor (IC), or in a supporting role within a data center environment.
• Experience with test methodologies, planning, execution, and reporting
  
• Experience with hardware testing, process validation, or software testing.
• Experience troubleshooting functional and integration test failures that impact multiple engineering disciplines.
  
• Experience leading projects, or programs consisting of integration and verification functions.
• Understanding of the overall systems integration process, with the ability to implement comprehensive 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.

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. The main responsibility is to 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, the System Verification Engineer will interface with stakeholders from Data center, Manufacturing and Product Design to identify and validate operational risks. They will influence new platform architectures through technical insights that mitigate risks found during validation tests. The System Verification Engineer will collaborate with Hardware and Software Test Engineers to build in-house competence in Design for Operations.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

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.
  
• Author 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.
  
• Author test reports 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.
  
• Identify and implement opportunities for leveraging automation wherever possible to ensure the quick execution of test and report processes.
  
• Communicate product risks to cross-functional team of engineers from Data center, Manufacturing and Product Design. Utilize established channels to communicate test updates, project trade-offs, technical recommendations, and escalations.