New 
Principal Software Engineer
 Microsoft | |
 United States, Washington, Redmond | |
 Jul 13, 2025 | |
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OverviewThe Microsoft Silicon Engineering Solutions and Cloud Hardware Infrastructure Engineering (SCHIE) team is responsible for developing and delivering the hardware and firmware that is 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, Skype, 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 trusted experience to customers and partners worldwide and we are looking for passionate, motivated engineers to help achieve that mission. Are you passionate about working on cutting edge new technology in a team that embodies the growth mindset? Are you hoping to join an organization which is built on a mission "To empower every person and organization on this planet to achieve more"? The Firmware Center of Excellence is responsible for Hardware/Firmware for Azure Infrastructure. We are working on the next generation Hardware/Firmware for server, silicon and rack infrastructure with a focus on innovation in firmware technology. We are looking for a highly motivated Principal Software Engineer with a background in AI and machine learning. You also have basic knowledge of hardware system designing and conceptually understand modern computer architecture (CPUs and GPUs). You are proficient in software development skills and proficient in at least one major programming language. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesDevelop and implement AI/ML algorithms: Design and optimize machine learning models to enhance hardware performance and reliability Collaborate with cross-functional teams: Work closely with product architects, firmware teams, and product managers to provide critical guidance and system-level debugging System-on-Chip (SoC) architecture: Learn about modern SoC architecture and design, root causing issues at the intersection of multiple subsystems across firmware and hardware Failure prediction and detection: Develop and implement modular ML frameworks for hardware error prediction to enhance system reliability Hardware and software integration: Ensure seamless integration of AI solutions with both hardware and software components Embody our culture and values. | |