Senior DL Compiler Engineer for Tile AI & MLIR

NVIDIA; Redmond (WA); On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA is hiring software engineers for the CUDA Tile team in Redmond to design and implement compiler transformations, MLIR-based dialects, and lowering passes for a tile-based programming model on our GPUs. You will optimize tile-based kernels to run efficiently across generations and define public APIs for compiler tooling.

The role emphasizes strong C/C++ coding, performance analysis, IR design, and independent project leadership within a dynamic, product-focused team.

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 are required along with the ability to work in a dynamic product-oriented team

Responsibilities

• Design and implement compiler transformations for CUDA Tile in CUDA 13.1 and beyond
• Develop MLIR-based dialects and lowering passes
• Optimize the performance of tile-based kernels across NVIDIA GPU architectures
• Define public APIs and implement compiler and optimization techniques
• Engage in general software engineering work as part of a fast-moving team

Skills

C/C++ programming

Compiler optimization

Performance analysis

IR design

Independent work

Interpersonal skills

Education

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

Tools

MLIR

LLVM

XLA

TVM

Job description

NVIDIA is hiring software engineers for the CUDA Tile team in Redmond to design and implement compiler transformations, MLIR-based dialects, and lowering passes for a tile-based programming model on our GPUs. You will optimize tile-based kernels to run efficiently across generations and define public APIs for compiler tooling.

The role emphasizes strong C/C++ coding, performance analysis, IR design, and independent project leadership within a dynamic, product-focused team.