Compiler Optimization Engineer, LLVM and MLIR - New College Grad 2025

Nvidia•Redmond, WA

59d

About The Position

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!

Requirements

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.

Nice To Haves

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.

Responsibilities

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.