Senior DL/MLIR Compiler Engineer – Equity Eligible

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

Job summary

NVIDIA in Redmond, WA is hiring software engineers for the CUDA Tile team. You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize tile-based kernels across GPU architectures.

The role requires a CS/CE degree with 3+ years in compiler optimization, strong C/C++ skills, and the ability to work independently in a fast-paced, cross-functional environment. Knowledge of MLIR/LLVM/XLA/TVM is a plus.

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 and MLIR-based dialects and lowering passes.
• Optimize the performance of tile-based kernels across multiple GPU generations.
• Define public APIs and craft compiler and optimization techniques.
• Engage in performance analysis and general software engineering work.

Skills

Compiler optimization

IR design

C/C++ programming

Independent work

Team collaboration

Education

Bachelor's degree in Computer Science, Computer Engineering or related field

Tools

MLIR

LLVM

XLA

TVM

Job description

NVIDIA in Redmond, WA is hiring software engineers for the CUDA Tile team. You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize tile-based kernels across GPU architectures.

The role requires a CS/CE degree with 3+ years in compiler optimization, strong C/C++ skills, and the ability to work independently in a fast-paced, cross-functional environment. Knowledge of MLIR/LLVM/XLA/TVM is a plus.