Nvidia Compiler Optimization Engineer LLVM MLIR - New College Grad 

United States, Texas 

204801354

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 to produce best-in-class, robust, supportable compiler and tools.

• Add support for new hardware features in LLVM and MLIR.

• Work with geographically distributed compiler, hardware and application teams to oversee improvements and problem resolutions.

• 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 (or equivalent experience).

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

• Excellent hands-on C++ programming skills.

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

• Strong background in software engineering principles with a focus on crafting robust and maintainable solutions to challenging problems.

• 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.

• Deep understanding of parallel programming concepts.

• LLVM, MLIR and/or Clang compiler development experience.

• Familiarity with deep learning frameworks and NVIDIA GPUs.