Hardware Systems Quality and Reliability Engineering, University Graduate, PHD, Platforms Engin

Hardware Systems Quality and Reliability Engineering, University Graduate, PHD, Platforms Engineering

Google, Sunnyvale, CA, USA

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

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. Willingness to undertake professional travel for up to 20% of the time.

• PhD degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
• Experience in any one domain of hardware engineering through internships, academic research, or publications (e.g., data center system hardware domains such as semiconductors, PCIe, power electronics, CPU/xPU architectures, networking, embedded systems, and servers).
• Experience in data curation, mining/analysis, visualization, and scripting utilizing tools such as SQL, JMP, Python, R, Tableau, or similar.

Experience in technical project management and effective communication with executive stakeholders.

• Track record of providing technical leadership to cross‑functional engineering teams through a solution‑oriented and pragmatic methodology.
• Expertise in quality and reliability engineering roles.
• Proficiency in statistical methodologies, predictive modeling, and data visualization techniques.
• Familiarity with fault isolation and other failure analysis methodologies.

The team is responsible for identifying and resolving fleet‑wide technical issues, implementing strategic product and methodological enhancements to maximize hardware system reliability, and ensuring efficient deployment and maintenance within data center environments. We conduct analysis of fleet data to address systemic issues and implement preventative measures to ensure long‑term stability.

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 team behind Google’s groundbreaking innovations, empowering the development of our 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 $126,000‑$181,000 + 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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