New 
Senior AI Hardware Quality Engineer
 Microsoft | |
 United States, Washington, Redmond | |
 Jan 22, 2025 | |
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OverviewMicrosoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft's expanding Cloud Infrastructure and responsible for powering Microsoft's "Intelligent Cloud" mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for passionate, high-energy engineers to help achieve that mission. As Microsoft's cloud business continues to grow the ability to deploy new offerings and hardware infrastructure on time, in high volume with high quality and lowest cost is of paramount importance. To achieve this goal, the Hardware, Infrastructure Management, and Fundamentals Engineering (HIFE) team is instrumental in defining and delivering operational measures of success for hardware manufacturing, improving the planning process, quality, delivery, scale and sustainability related to Microsoft cloud hardware. We are looking for seasoned engineers with a dedicated passion for customer focused solutions, insight and industry knowledge to envision and implement future technical solutions that will manage and optimize the Cloud infrastructure. At Microsoft, we immensely value culture, mentorship, and acting as One Team. This is an opportunity to leverage your technical expertise by working in a highly collaborative environment to discover, define, and deliver storage innovation at Cloud-scale. We are looking for a Senior AI Hardware Quality Engineer to join the team.
ResponsibilitiesDevelop and implement a robust supplier quality management strategy to ensure the data center hardware is manufactured at the highest level of quality standards. Lead quality issues and improvement task force to contain, mitigate, and resolve the top-quality issues impacting global data centers. Conduct debug and failure analysis for GPU subsystems in the Azure fleet and drive resolution with partners and suppliers.Drive the continuous improvement process based on Root Cause Analysis (RCA) and identified opportunities. Responsible for quality readouts based on your telemetry data analysis, to bring clarity on status, actions across the organization and next steps for issue resolution.Establish Critical-to-Quality performance metrics to measure and improve product quality. Act as the voice of quality in the hardware change management process, ensuring quality requirements are considered and met and improved. Embody ourCultureandValues | |