
Overview

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.
Qualifications
Required Qualifications
Currently pursuing a master's or PhD degree in Electrical Engineering, Computer Engineering or Computer Science.
At least 1 year experience on working with deep learning hardware architectures.

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. 
Preferred Qualifications
Ability to understand prevailing Neural Network Architectures.
Proficient understanding of AI algorithms and hardware architectures.
Experience with hardware description languages (HDLs) such as VHDL or Verilog.
Proficiency in programming languages such as Python, C++, or CUDA.
Familiarity with AI frameworks such as TensorFlow, PyTorch, or Caffe.
Knowledge of machine learning accelerators and hardware/software co-design methodologies.
Previous research experience or internships in related fields.

Applied Sciences IC2 - The base pay range for this internship is USD $5,460 -$10,680 per month.

 

There is a different range applicable to specific work locations, with the San Francisco Bay area and New York City Metropolitan area, and the base pay range for this role in those locations is USD $7,040 -$11,640 per month.


Applied Sciences IC3 - The base pay range for this internship is USD $6,550 -$12,880 per month.

 

There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,480 - $13, 920 per month.

 

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay 

 

Microsoft accepts applications and processes offers for these roles on an ongoing basis.

 
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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

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Microsoft

Microsoft, a leader in technology innovation, seeks a Research Intern for AI HW/SW Co-design. The candidate should be pursuing a master's or PhD in relevant fields and have experience with deep learning hardware architectures. The intern will work on AI and hardware/software co-design projects. Benefits include healthcare, educational resources, discounts, savings, parental leave, generous time off, and networking opportunities.

Research Intern AI HW SW Co-design

Summary