Microsoft Research Intern - Cloud Competitive Intelligence 

United States, California, Mountain View 

893988876

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.

• Currently enrolled in a PhD program inengineering, mathematics, physics, applied sciences or similar STEM field.

Other Requirements

• 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 performance and TCO modeling 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 and a proven ability to rapidly understand, use and drive improvements in processes/systems.
• Proficient business judgment & communication/presentation skills.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• 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.