For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, visual computing is becoming increasingly central to how people interact with technology, and there has never been a more exciting time to join our team!

What you will be doing:

Identify opportunities for performance improvements in the LLVM-based compiler middle end optimizer.

Design and develop new compiler analysis passes and optimizations.

Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through higher level languages.

What we need to see:

Pursuing a B.S, M.S or Ph.D. in Computer Science, Computer Engineering, or related fields.

Background in Compiler Optimizations such as Loop Optimizations, Inter-procedural optimizations and Global optimizations.

Excellent hands-on C++ programming skills.

MLIR, LLVM and/or Clang compiler development experience.

Understanding of any Processor ISA (GPU ISA would be a plus).

Good communication and documentation skills and self-motivated.

Ways to stand out from the crowd:

M.S or Ph.D. preferred.

Experience in developing applications in CUDA or other parallel programming language.

Understanding of parallel programming concepts.

Familiarity with deep learning frameworks and NVIDIA GPUs.