Senior DL Compiler Engineer – CUDA Tile

Details

NVIDIA is hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution, enabling breakthroughs in generative AI, large language models, recommendation systems, speech recognition, image classification, and other areas.

Responsibilities

Work on CUDA Tile, a tile-based programming model for NVIDIA GPUs that shipped with CUDA 13.1. Responsibilities include:

• Designing and implementing compiler transformations.
• Developing MLIR-based dialects and lowering passes.
• Optimizing tile-based kernel performance across multiple generations of NVIDIA GPU architectures.
• Defining public APIs.
• Developing compiler and optimization techniques.
• Performing performance optimization and general software engineering work.
• Independently defining project goals and scope and leading development efforts.

Requirements

• Bachelor's, master's, 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.
• Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.
• Strong interpersonal skills and the ability to work in a dynamic, product-oriented team.

Preferred Qualifications

• Knowledge of CPU and/or GPU architecture.
• CUDA or OpenCL programming experience.
• Experience with MLIR, LLVM, XLA, TVM, and deep learning models and algorithms.

Benefits

The position offers equity and benefits. NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.

Applications will be accepted at least until September 13, 2026. The posting is for an existing vacancy.