Deep Learning Compiler Engineer, CUDA Tile

2100 NVIDIA USA; Santa Clara (CA); On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Inclusive culture

Job summary

NVIDIA is hiring software engineers for the CUDA Tile team in Santa Clara, CA. You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize tile-based kernels to perform efficiently across generations of NVIDIA GPUs.

Joining NVIDIA means engaging with a top-tier team on AI and deep learning acceleration. The role requires research-grade experience and strong C/C++ skills, with equity and comprehensive benefits as part of the package.

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
• Develop MLIR-based dialects and lowering passes
• Optimize the performance of tile-based kernels across multiple GPU generations
• Define public APIs and contribute to compiler and optimization techniques

Skills

C/C++ programming

Compiler optimization

Performance analysis

IR design

Leadership/ownership

Education

CS/CE or related field

Tools

MLIR

LLVM

XLA

TVM

Job description

NVIDIA is hiring software engineers for the CUDA Tile team in Santa Clara, CA. You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize tile-based kernels to perform efficiently across generations of NVIDIA GPUs.

Joining NVIDIA means engaging with a top-tier team on AI and deep learning acceleration. The role requires research-grade experience and strong C/C++ skills, with equity and comprehensive benefits as part of the package.