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Internship

Research Intern - Advanced Memory Systems

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Microsoft

2mo ago

🚀 Summer Internship

Sunnyvale

AI generated summary

  • You must demonstrate feasibility of advanced memory systems and perform workload analysis in a 12-week internship at Microsoft with top researchers.
  • You will research advanced memory systems to overcome the memory wall and enhance Azure cloud infrastructure, aiming to bring efficiencies and value to Microsoft's software applications.

Summer Internship

Data, Software EngineeringSunnyvale

Description

  • Microsoft Azure Hardware Systems Infrasturcture's (AHSI) Pathfinding team is seeking Research Interns who are passionate about developing next-generation memory systems. With the increasing size of Artificial Intelligence (AI) models, the team is focused on overcoming the memory wall, which is limiting both memory capacity and bandwidth. The team's goal is to identify memory systems that can bring efficiencies to Azure cloud infrastructure and provide significant business value to Microsoft's software applications.

Requirements

  • 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.
  • Demonstrate feasibility of advanced memory systems.
  • Perform workload analysis using these memory systems.

Education requirements

Currently Studying
STEM

Area of Responsibilities

Data
Software Engineering

Responsibilities

  • 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.
  • Microsoft Azure Hardware Systems Infrasturcture's (AHSI) Pathfinding team is seeking Research Interns who are passionate about developing next-generation memory systems. With the increasing size of Artificial Intelligence (AI) models, the team is focused on overcoming the memory wall, which is limiting both memory capacity and bandwidth. The team's goal is to identify memory systems that can bring efficiencies to Azure cloud infrastructure and provide significant business value to Microsoft's software applications.

Application process

  • Required Qualifications:
  • Accepted or currently enrolled in a PhD program in Computer Science or a related 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 above, you’ll need to submit a minimum of two reference letters for this position. 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.
  • Preferred Qualifications:
  • Demonstrated ability to develop original research agendas.
  • Ability to collaborate effectively with other researchers and product development teams.
  • Interpersonal skills, cross-group, and cross-culture collaboration.
  • Demonstration of publications related to advanced memory systems.
  • Eagerness to work within lab environments if required.
  • Good understanding of compute hardware (HW) platforms.

Details

Work type

Full time

Work mode

hybrid

Location

Sunnyvale