Hardware Systems Quality and Reliability Engineer, Platforms

Hardware Systems Quality and Reliability Engineer, Platforms

Join to apply for the Hardware Systems Quality and Reliability Engineer, Platforms role at Google

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.

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.

• Bachelor's degree in Electrical Engineering, Computer Engineering, Hardware Engineering, or equivalent practical experience.
• 4 years of experience with 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.

• Master's degree or PhD in Electrical Engineering, Computer Engineering, Hardware Engineering, or a related field.
• 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.
• Proficiency in statistical methodologies, predictive modeling, and data visualization techniques.
• Expertise in quality and reliability engineering roles.
• Familiarity with fault isolation and other failure analysis methodologies.

• Collaborate on data center hardware platforms across a wide range of domains, including semiconductors, test, PCIe, power, CPU, xPU, power electronics, and networking.
• Provide technical leadership by establishing priorities, conducting comprehensive root cause analyses, and resolving complex technical challenges to ensure fleet quality and a stable customer experience.
• Optimize system health and repairability by improving Mean Time Between Failures (MTBF), managing swap rates, and developing advanced repair strategies.
• Partner with System Software and Diagnostics/Test teams to enhance the detection, characterization, and resolution of fleet‑scale hardware failures.
• Lead the initiation and implementation of innovative product, process, and tool enhancement projects within complex cross‑functional environments and integrate lessons learned from field performance data into New Product Introduction (NPI).

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.