New 
Principal Platform System Engineer
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 26, 2025 | |
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OverviewMicrosoft is a highly innovative company that collaborates across disciplines to producecutting edgetechnology that changes our world. The Azure Cloud Hardware and Infrastructure Engineering (CHIE) team isseekinga highly motivated Principal hardware systems engineer to work in a team of other hardware and software developers to create systems and modules to be deployed in Microsoft's Azure Cloud. Microsoftprovidesample opportunitiesfor developers to have an impact on products that touch the lives of millions of users daily, in a cutting-edge public cloud environment. As a Systems Engineering team member, you will work directly with engineers across cross-functional teams and deliver hardware designs from concept to data center deployment to support Microsoft Azure AI/ML infrastructure. Responsibilities will include interacting directly with Microsoft's services teams, cross-disciplinedesign teamsfocusing on the functional interfaces and developing system requirements, development strategy, validation & test casesand deployment processes. This is an opportunity toleverageand grow your existing hardware design/validation experience andprovideinnovative E2E hardware solutions to Microsoft Cloud. 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.
ResponsibilitiesCollaborate with architecture, silicon engineering, firmware, hardware design, hardware development, OS (operating systems), manufacturing, and customer teams to build state-of-the-art accelerator hardware solutions. Participate in architectural discussions, design and evaluate system behavior, power, thermal and cooling solutions required to meet the demands of AI/ML workloads Analyze new interfaces and subsystems and develop integration plans, analyze power efficiency, debug integration issues, and provide recommendations. Define system behavior and concept of operations for the platform to ensure compatibility with Microsoft Azure datacenter software, serviceability, telemetry, and customer expectations. Perform NUDD (new, unique, different and difficult) technology and feature analysis and provide risk assessment and mitigations. Drive technical requirements and ensure the solution is flexible and scalable across the full (HW/FW/SW) stack. Collaborate with internal, external, and open-source partners to onboard innovative technologies in a seamless manner. | |