Research Intern - AI HW/SW Co-design

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.

Join our Strategic Planning and Architecture (SPARC) team within Microsoft’s Azure Hardware Systems & Infrastructure (AHSI) organization and be a part of the organization behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission.  The SPARC organization manages Azure’s hardware roadmap from architecture concept through production for all of Microsoft’s current and future cloud deployments. 

AI System Architecture (ASA) within SPARC has the mission to co-design system architecture of Azure AI cloud keeping in pace with evolving landscape of Neural Network models. We are seeking a motivated AI HW/SW Co-Design Research Intern to join our team. As a Research Intern, you will have the opportunity to work on exciting projects that explore the intersection of AI and hardware/software co-design. You will collaborate with experienced researchers and engineers, gaining valuable hands-on experience in this dynamic field and explore ways to push the boundaries on AI model performance/power optimization on latest hardware/system architectures.

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.

Additional Responsibilities

• Benchmark prevailing Neural Network architectures to understand Hardware/system characteristics.
• Participate in performance analysis and optimization of AI workloads.
• Come up with AI algorithms, system or hardware architecture innovations to drive efficiencies.
• Assist in conducting research on AI hardware/software co-design methodologies.
• Develop and implement co-design techniques to optimize AI performance.
• Prototype the ideas to demonstrate the optimizations.
• Write white papers and research publications.