Nvidia-posted 9 months ago
$18 - $71/Yr
Intern
Austin, TX
Computer and Electronic Product Manufacturing

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as 'the AI computing company'. We are looking to grow our company, and grow our teams with the smartest people in the world. We are looking for you: a Computer Science or Computing Engineering grad student to support our NVIDIA Back-End Compiler Team for a 2021 internship! Our team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team is comprised of worldwide leading compiler engineering experts who provide cutting edge performance and capabilities for NVIDIA's current and future complex parallel SIMT architectures.

  • Investigating and developing solutions to important and challenging problems within the NVIDIA Compiler Back End.
  • Working directly with a mentor and operating as part of the larger OCG team.
  • Currently pursuing a bachelor's degree in Computer Science or Computer Engineering.
  • Successful completion of an undergraduate Compiler Design class.
  • Strong writing and oral skills, as well as an ability to follow best practices for Software Engineering.
  • Strong coding skills with C++.
  • Graduate degree in a related field.
  • Specialization in Compiler Design and Construction with pursued graduate coursework in these areas.
  • Hands-on experience with backend compiler design and code generation.
  • Experience with GPU and parallel architectures; CUDA and/or PTX; Graphics (OpenGL, DX or Vulkan); jQuery, CGI and HTML knowledge.
  • Understanding of the basics of unit testing methods.
  • Familiarity with any unit test framework (e.g. GoogleTest).
  • Competitive salaries.
  • Generous benefits package.
  • Intern benefits.
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