← All roles

Deep Learning Compiler Engineer

NVIDIA· Engineer, Sys SW
Apply on company site
Hybrid (Remote)$152k - $241.5kFull-timePosted 2mo ago

About the role

Software engineer role focusing on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs, including design and implementation of compiler transformations, MLIR-based dialects and lowering passes, and optimization of tile-based kernels across NVIDIA GPU architectures.

Responsibilities

  • Design and implement compiler transformations for CUDA Tile and TensorIR
  • Develop MLIR-based dialects and lowering passes
  • Optimize performance of tile-based kernels across multiple GPU generations
  • Define public APIs, craft and implement compiler and optimization techniques
  • Performance optimization and general software engineering work

Qualifications

  • Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering or a related field (or equivalent experience)
  • 3+ years of relevant work or research experience in compiler optimization, performance analysis and IR design
  • Ability to work independently, define project goals and scope, and lead your own development effort
  • Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design
  • Strong interpersonal skills and ability to work in a dynamic product-oriented team

Skills

Required:C/C++ programmingCompiler optimization
Nice to have:MLIRCUDA / GPU programming

Benefits

  • equity
  • comprehensive benefits package
Last updated Aug 28, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA