Software Engineer: Azure Data Intern Opportunities for University Students, Aust
description“>OverviewCome build community, explore your passions, and do your best work at Microsoft with thousands of University interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential-and excitement for the journey ahead. The Azure Data Analytics group, is at the forefront of building Microsoft’s next-generation data platforms-including Microsoft Fabric, Synapse Analytics, and Power BI. The team focuses on delivering scalable, lakehouse-native, serverless data warehousing and advanced analytics solutions that empower customers to unlock real-time insights and make intelligent decisions. Interns joining this group will gain hands-on experience with cutting-edge technologies in big data, cloud infrastructure, and AI-driven analytics, all while contributing to products that shape the future of data at scale As a Software Engineering Intern on the Azure Data Analytics team, you’ll work on the cutting edge of query execution and performance optimization. This team powers the core of Microsoft Fabric, a unified analytics SaaS platform that integrates data warehousing, Spark-based engineering, and lakehouse services. You’ll contribute to building high-performance SQL and Spark runtimes and support massive-scale infrastructure like Cosmos Analytics and open-source workloads via HDInsight. This role is ideal for candidates with a strong foundation in low-level systems programming. You’ll work directly with technologies such as SIMD assembly, GPU programming, and C++, focusing on maximizing memory bandwidth and execution efficiency across diverse hardware architectures. If you’re passionate about how computers work at the deepest levels – from CPU to GPU – and excited to push the boundaries of performance, this is the internship for you. Learn more about the technologies we work with:https://azure.microsoft.com/en-us/products/synapse-analytics https://azure.microsoft.com/en-us/products/synapse-analytics/ https://azure.microsoft.com/en-us/products/power-bi-embedded https://www.microsoft.com/en-us/microsoft-fabric https://microsoft.github.io/PartnerResources/skilling/modern-analytics-academy/resources You’ll collaborate with teammates to solve complex problems and build innovative software solutions. You’ll apply your passion for customers and product quality while providing technical guidance to Technical Program Managers and Product Managers. You’ll learn and adopt relevant new technologies, tools, methods, and processes to leverage in your solutions-such as Azure Synapse Analytics, Power BI Embedded, and more. This opportunity will enable you to advance your career by designing, developing, and testing next-generation software that empowers every person and organization on the planet to achieve more. At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You’ll be empowered to build community, explore your passions, and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology. 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. ResponsibilitiesApplies engineering principles to solve complex problems through sound and creative engineering, with a focus on query execution performance across CPU and GPU architectures.Works with appropriate stakeholders to determine user requirements for features that impact low-level systems performance, including memory bandwidth optimization, SIMD execution, and runtime efficiency.Quickly learns and applies advanced engineering methods such as SIMD assembly (e.g., AVX-512), GPU programming, and C++, integrating them into high-performance query execution workflows.Seeks feedback and applies internal or industry best practices to improve technical solutions.Demonstrates skill in time management and completing software projects in a cooperative team environment, contributing to scalable and efficient data analytics infrastructure.Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of query execution systems-while driving consistency in monitoring and operations at scale.
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