Senior DL Compiler Engineer, CUDA Tile

NVIDIA; Washington; On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is hiring software engineers for the CUDA Tile team. You’ll design and implement compiler transformations, develop MLIR-based dialects, and optimize tile-based kernels for multiple GPU generations.

Strong C/C++ skills and a track record in compiler IR design are essential. Ideal candidates have 3+ years in compiler optimization and performance analysis, with the ability to lead projects independently in a dynamic product-focused environment.

Qualifications

• Bachelor’s, 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 are required along with the ability to work in a dynamic product-oriented team.

Responsibilities

• Design and implement compiler transformations for CUDA Tile.
• Develop MLIR-based dialects and lowering passes.
• Optimize performance of tile-based kernels across NVIDIA GPU architectures.
• Define public APIs and implement compiler/optimization techniques.

Skills

C/C++ programming

Software design

Compiler optimization

Performance analysis

IR design

Independent work

Team collaboration

Education

Bachelor's/Master's/PhD in CS/CE or related field

Tools

MLIR

LLVM

CUDA

OpenCL

XLA

TVM

Job description

NVIDIA is hiring software engineers for the CUDA Tile team. You’ll design and implement compiler transformations, develop MLIR-based dialects, and optimize tile-based kernels for multiple GPU generations.

Strong C/C++ skills and a track record in compiler IR design are essential. Ideal candidates have 3+ years in compiler optimization and performance analysis, with the ability to lead projects independently in a dynamic product-focused environment.