Microsoft-posted 10 months ago
$5,460 - $10,680/Yr
Intern
Remote • Austin, TX
Publishing Industries

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. At Microsoft, our interns work on real-world projects and collaborate with global teams on cutting-edge technology. Our internship program empowers you to build community, explore your passions, and achieve your goals, all while experiencing a culture rooted in continuous learning, diversity, and innovation. We believe in a growth mindset—encouraging everyone to bring their best ideas to the table as we drive technological excellence. This Research Internship offers an exciting opportunity to work on field-programmable gate array (FPGA)-based hardware acceleration solutions that empower Data Analytics. By offloading compute-intensive tasks from traditional CPUs, our FPGA accelerators boost data processing performance in large-scale deployments, delivering faster query times and enhanced customer experiences.

  • Collaborate with team members to design, develop, and test FPGA accelerators that improve Data Analytics performance.
  • Apply engineering principles to address complex hardware challenges and innovate practical solutions.
  • Quickly adopt new tools, methods, and processes to enhance your work and contribute to continuous improvement.
  • Work in a cooperative team environment, engaging with Program Managers and other stakeholders to align technical solutions with customer needs.
  • Assist in debugging FPGA designs, ensuring their reliability and efficiency in large-scale deployments.
  • Currently pursuing a master's or PhD degree in Computer Engineering, Computer Science, or a related field.
  • Submit a minimum of two reference letters, a cover letter, and any relevant work or research samples.
  • A solid understanding of computer architecture and digital design principles.
  • Familiarity with hardware description languages (such as Verilog, SystemVerilog, or HLS) and programming in C++.
  • Coursework, personal projects, or internship/research experience in building custom logic designs.
  • An eagerness to learn, adapt, and apply new engineering methods and technologies.
  • 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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