Research Intern - Cloud Competitive Intelligence

Job Description

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. The Strategic Planning and Architecture (SPARC) group conducts cloud competitive landscape and technology analysis to help us understand potential directions that cloud completion is taking and assess Azure's competitive gaps. As a Research Intern in the SPARC group your work will involve reading technical papers, blogs, market and competitive analysis reports and building analytical frameworks.

Requirements

• Currently enrolled in a PhD program in engineering, mathematics, physics, applied sciences orsimilarSTEMfield.
• Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
• In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.
• Experience in building complex analytical models in Microsoft Excel.
• Demonstrated ability to develop original research agendas.
• Knowledge of server hardware performanceand TCOmodeling and analysis, e.g.: CPU, GPU, Memory, and other components.
• Knowledge of Cloud and AI/ML hardware and software ecosystems.
• Knowledge of Microsoft Office Applications, including advanced knowledge of Excel along with a solid analytical capabilities and experience with statistical tools (Regression analysis, advanced Excel / VBA, Power BI is a plus).
• Ability to think unconventionally to derive creative and innovative solutions.
• Solid process/systems background anda proven ability torapidly understand, use and drive improvements in processes/systems.
• Proficient business judgment & communication/presentation skills.

Responsibilities

• 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.
• Evaluate AI/ML large language models and help build an understanding of the relationship between model sizes and the size of GPU/accelerator clusters that are needed to train and infer these models.
• Help build a view of the long-term growth of AI large language models and how they would deploy on future GPU accelerator clusters that are built by AI vendors and large hyperscalers.
• Develop performance, cost analysis, and modelling perspectives for future AI GPUs.

Benefits

• Industry leading healthcare
• Educational resources
• Discounts on products and services
• Savings and investments
• Maternity and paternity leave
• Generous time away
• Giving programs
• Opportunities to network and connect