Research Intern - AI HW/SW Co-design
Microsoft
Hybrid 🏡🏢 10 January
R&D, Innovation
Washington, United States 🇺🇸 California, United States 🇺🇸
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.
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.
#AHSI #MSFTNSBE25
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
- Benchmark prevailing Neural Network architectures to understand Hardware/system characteristics.
- Participate in performance analysis and optimization of AI workloads.
- Come up with AI algorithms, system or hardware architecture innovations to drive efficiencies.
- Assist in conducting research on AI hardware/software co-design methodologies.
- Develop and implement co-design techniques to optimize AI performance.
- Prototype the ideas to demonstrate the optimizations.
- Write white papers and research publications.
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