Senior Performance Compiler Engineer - Triton

$184k - $288k • US, WA, Redmond

Posted 2d ago

Remote Work Policy

On-site

Categories

AI Infrastructure Engineer

About the job

NVIDIA is seeking a Senior Performance Compiler Engineer to join their open-source Triton compiler project. This role focuses on improving AI performance on NVIDIA GPUs by leveraging compiler technology. You will work on cutting-edge AI applications, including large language models and agents, accelerating both training and inference. The position offers a collaborative and supportive environment to push the boundaries of AI computing.

Responsibilities

  • Investigate current and future NVIDIA GPU hardware architecture and programming models.
  • Optimize AI performance by understanding advanced algorithms and numerics.
  • Design and implement compiler technology using MLIR to generate efficient GPU code from Triton's Python DSL.
  • Utilize inline PTX for hand-tuning critical code paths when necessary.
  • Engage in iterative optimization processes, starting from kernels or compilers.
  • Collaborate with internal NVIDIA teams, including hardware architects and the CUDA compiler team.

Requirements

  • Bachelor's, Master's, or Ph.D. degree in Computer Science, Computer Engineering, Applied Math, or related field, or equivalent experience.
  • 8+ years of relevant industry experience in software development.
  • Strong C++ programming and software design skills, with a focus on performance analysis and debugging.
  • Experience in parallel programming, including CUDA/OpenCL GPU programming or OpenMP.
  • Solid understanding of computer architecture and hands-on experience with assembly-level programming.

Benefits

  • Competitive salaries
  • Generous benefits package
  • Equity

About nvidia

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