Hardware Test Engineer, Verification Engineering

Overview

Hardware Test Engineer, Verification Engineering

Location note: corporate fare Google place The Dalles, OR, USA;
Council Bluffs, IA, USA; 2 more; 1 more

Level: Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

By applying to this position you will have an opportunity to share your preferred working location from the following:
The Dalles, OR, USA;
Council Bluffs, IA, USA;
Austell, GA, USA

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 for verification strategy and drive test execution across a portfolio of projects, ranging from network switches to machine learning pods. Your primary goal will be 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, and benefits are additional. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and other 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 reflect 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…