Principal Software Engineer
 Microsoft | |
 United States, Washington, Redmond | |
 Sep 25, 2024 | |
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OverviewMicrosoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. The AI Platform organization at Microsoft builds the end-to-end Azure AI stack/PaaS and is core to Azure's innovation and differentiation, as well as all of Microsoft's flagship products, from Office to Teams, to Xbox. We are the team building Azure OpenAI, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. Within AI Platform, the Azure ML team enables data scientists and developers to quickly and easily build, train, deploy, manage, and consume machine learning models. We are looking for a Principal Software Engineer to join our team. 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
ResponsibilitiesWork on the architecture, design, and development of the core AI Infrastructure services that support large scale AI training and inferencing.Develop, test, and maintain backend services written in C#, Go, Rust, C++, hosted on Kubernetes/Service Fabric clusters and Docker containers.Enhance systems and applications to ensure high stability, efficiency, & maintainability, low latency, tight cloud security.Provide operational support and DRI responsibilities for the product.Develop and foster a deep understanding of the machine learning systems and concepts and their usage by our customers.Collaborate closely with engineers, data scientists within the team, internal Microsoft Research teams and external enterprises to build better solutions together.Provide vision, expertise, and technical leadership to other team members. Help to grow talent in these areas.Other:Embody our Culture and Values | |