Principal Software Engineer

Microsoft's AI Platform organization 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. The team is responsible for Azure OpenAI, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet.

As a Principal Software Engineer in the Azure ML team, you will be working on enabling data scientists and developers to quickly and easily build, train, deploy, manage, and consume machine learning models. This role offers an opportunity to shape the future of AI infrastructure at Microsoft, working with cutting-edge technologies and large-scale systems.

The position involves architecting and developing core AI Infrastructure services that support large-scale AI training and inferencing. You'll be working with modern technologies like Kubernetes, Go, Rust, and Python, while ensuring high stability, efficiency, and security of the systems. The role requires both technical excellence and leadership skills, as you'll be providing vision and expertise to team members while collaborating with engineers, data scientists, and Microsoft Research teams.

Microsoft offers an inclusive work environment where passionate innovators come to collaborate and achieve more. The company values differences and actively seeks out diverse perspectives to better serve their customers. With industry-leading benefits, opportunities for professional growth, and a culture of innovation, this role presents an exciting opportunity to be at the forefront of AI technology while working with some of the largest AI workloads on the planet.

The position offers competitive compensation with a base pay range of $137,600 - $267,000 per year (higher in SF Bay Area and NYC), along with comprehensive benefits including healthcare, educational resources, savings and investments, parental leave, and generous time away. While remote work is possible, you'll be part of a geo-distributed team working on critical AI infrastructure that powers Microsoft's flagship products.