Research Intern - AI-driven Hardware Design

3 Months ago • Upto 1 Years • Artificial Intelligence

Job Summary

Job Description

Microsoft Research is seeking a Research Intern to contribute to the development and implementation of AI-driven AI infrastructure. This internship involves designing and developing AI infrastructure, conducting simulations, and collaborating with cross-functional teams. Responsibilities include research on emerging trends, prototyping, testing, validating designs, documenting findings, and presenting results. The intern will work with hardware engineers, software developers, and data scientists to integrate their work into existing and future AI projects. The internship is located in Vancouver, Canada or Redmond, US and lasts for 12 weeks. The successful candidate will possess strong analytical and problem-solving skills, excellent communication abilities, and proficiency in AI and machine learning concepts, especially regarding hardware infrastructure. Experience with software development (Python, C++, MATLAB) and AI hardware components (GPUs, TPUs, neuromorphic chips) is highly desired.
Must have:
  • Enrolled in CS, EE, ML, Math or related field
  • Proficient analytical and problem-solving skills
  • Strong communication (written & verbal)
  • Understanding of AI & machine learning concepts
  • Experience with software development (Python, C++, MATLAB)
Good to have:
  • Experience with AI hardware components (GPUs, TPUs)
  • Hardware RTL development (SystemVerilog, Chisel, Bluespec)
  • Experience with machine learning frameworks (TensorFlow, PyTorch)
  • Deep knowledge of hardware design and architecture
  • Prior research in AI or hardware simulation
Perks:
  • Industry-leading healthcare
  • Educational resources
  • Discounts on products and services
  • Savings and investments
  • Maternity and paternity leave
  • Generous time away
  • Giving programs
  • Networking opportunities

Job Details

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.

As a Research Intern at Microsoft Research, you will be at the forefront of developing and implementing cutting-edge Artificial Intelligence (AI)-driven AI infrastructure. This role is ideal for candidates who are passionate about AI software and hardware development. You will collaborate with a team of world-class researchers and engineers in Vancouver, Canada, and Redmond, US to create the next generation of AI infrastructure that enhances the efficiency and effectiveness of AI.

Qualifications

Required Qualifications

  • Currently enrolled in a bachelor's, master's, or Ph.D. program in Computer Science, Electrical Engineering, Machine learning, Mathematics, or a related 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. 

Preferred Qualifications

  • Proficient analytical and problem-solving skills and communication skills, both written and verbal.
  • Ability to work independently and collaboratively in a dynamic research environment.
  • Proficient understanding of AI and machine learning concepts, especially in relation to hardware infrastructure.
  • Experience in simulation modeling and software development (e.g., Python, C++, MATLAB).
  • Research expertise with AI hardware components such as GPUs, TPUs, and neuromorphic chips. Hardware RTL development (SystemVerilog, Chisel, Bluespec) is a plus.
  • Experience with machine learning frameworks (TensorFlow, PyTorch).
  • Deep Knowledge of hardware design and architecture.
  • Prior research or project experience in AI or hardware simulation.

Intern - MSR- The typical base pay range for this role across Canada is CAD $8,700 - CAD $9,700 per month.

 

Find Additional Pay information here:

 

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

 

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.

 

As a Research Intern for this position, you will:

  • Development and Implementation: Design and develop AI-driven AI infrastructure. Implement prototypes and conduct simulations to test and validate them.
  • Research and Analysis: Conduct thorough research on emerging trends in AI software and hardware infrastructure.
  • Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers, and data scientists, to integrate your ideas with existing and future AI projects.
  • Documentation and Reporting: Prepare detailed documentation of simulations, methodologies, and findings. Present results and insights to team members and stakeholders.
  • Innovation and Problem-Solving: Identify challenges and bottlenecks in AI infrastructure and propose innovative solutions.
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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