Research Intern - AI-driven Hardware Design

Redmond, Washington, United States

Microsoft

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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 to create the next generation of AI infrastructure that enhances the efficiency and effectiveness of AI.

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.

Additional Responsibilities

  • 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.

Qualifications

Required Qualifications

  • Currently enrolled in a bachelor's, master's, or PhD 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.

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.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

 

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

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Tags: Architecture Computer Science Economics Engineering Machine Learning Mathematics Matlab ML infrastructure PhD Python PyTorch Research TensorFlow

Perks/benefits: Career development Medical leave

Region: North America
Country: United States

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