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Microsoft Corporation Logo Microsoft Corporation · Research and Development

Research Intern - AI Hardware

United States, Redmond 5610.00 - 11010.00 USD / Month · Job Posted April 10, 2026
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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. As a Research Intern at Microsoft Research, Vancouver lab or Redmond lab, you will be at the forefront of developing and implementing cutting-edge technology in artificial intelligence. This role is ideal for candidates who are passionate about AI, Hardware (HW) Design, and Computer Architecture. You will collaborate with a team of world-class researchers and engineers across MSR labs exploring the ways to increase the performance and efficiency of the cutting-edge inference systems.

Job Responsibility

  • Research and Analysis: Conduct thorough research on chip architectures for efficient AI serving
  • Documentation and Reporting: Prepare detailed documentation of simulations, methodologies, and findings. Present results and insights to team members and stakeholders
  • Innovation and Problem-Solving: in-depth knowledge and understanding across different disciplines, proficient problem formulation and problem-solving skills

Requirements

  • Currently enrolled in a Master or Ph.D. program in Computer Science, Electrical Engineering, or a related field
  • Ability to work independently and collaboratively in a dynamic and vibrant research environment
  • Willingness to embrace knowledge outside your field of research interest
  • Experience in conducting research in the fields of Computer Architecture and HW design
  • Experience in conducting experiments and writing papers
  • Programming skills in C/C++ and Python
  • Knowledge of Machine Learning/AI/Large Language Model concepts
  • Relevant publications such as ISCA, MICRO, ASPLOS, HPCA, CVPR, ACL, ICML, NeurIPS, etc.
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