Senior Compiler Optimization Engineer

2 months ago

Austin, Texas, United States NVIDIA Full time
About the Role

We are seeking a highly skilled Senior Compiler Optimization Engineer to join our Compute Compiler Team at NVIDIA. As a key member of our team, you will play a critical role in delivering features and improvements to CUDA and other compute compilers, enabling the realization of NVIDIA GPUs' full potential for a wide range of computational workloads.

Key Responsibilities

  • Analyze the performance of application code running on NVIDIA GPUs using profiling tools to identify areas for improvement.

  • Develop a bridge between Graph compilers like PyTorch, OAI Triton, and MLIR/LLVM-based middle-end optimizers to enhance compiler performance.

  • Identify opportunities for performance improvements in MLIR and LLVM-based compiler middle-end optimizers and design new compiler passes and optimizations to achieve best-in-class results.

  • Collaborate with the Open-source MLIR/LLVM community to ensure seamless integration and interact with geographically distributed compiler, hardware, and application teams to oversee improvements and problem resolutions.

  • Contribute to a team that is at the forefront of deep-learning compiler technology, spanning architecture design and support through higher-level languages.

Requirements

  • M.S. in Computer Science, Computer Engineering, or related fields (or equivalent experience).

  • 5+ years of experience in Compiler Optimizations, including Loop Optimizations, Inter-procedural optimizations, and Global optimizations.

  • Excellent hands-on C++ programming skills.

  • Understanding of any Processor ISA (GPU ISA 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.

Preferred Qualifications

  • Ph.D. preferred.

  • Experience in developing applications in CUDA or other parallel programming languages.

  • Deep understanding of parallel programming concepts.

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

  • Familiarity with deep learning frameworks and NVIDIA GPUs.

About NVIDIA

NVIDIA is a leader in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are committed to fostering a diverse work environment and proud to be an equal opportunity employer.

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