New 
Senior Software Engineer
 Microsoft | |
 United States, Washington, Redmond | |
 Aug 19, 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 deliver trusted experience to customers and partners worldwide and we are looking for passionate, high-energy engineers to help achieve that mission. The Azure Firmware/Software Center of Excellence is looking for a Senior Software Engineer to be a key leader in leveraging cutting edge AI capabilities to improve quality as we develop and light up innovative hardware solutions that power Azure. From driving integration of the latest AI developer tools to building new AI applications to streamline fleet management and quality improvement, this role is about innovation at scale as we strive to make our world-class infrastructure even better.
ResponsibilitiesDesign and architect firmware solutions for Cloud Hardware systems, focusing on system-level E2E design, debugging and troubleshooting. Collaborate with cross-functional teams including hardware engineers, software developers, validation & integration, and product managers to define firmware requirements and specifications. Design and implement firmware modules to support various hardware interfaces, including USB vNIC, SPI, I2C, I3C, PCIe, and other related protocols. Contribute to product vision and roadmap by bringing innovation to server manageability ecosystem. Perform data analysis using a variety of analytical tools (Python, KQL, MLStudio, Synapse, Power BI, Fabric etc), and interpret results with actionable recommendations. | |