Senior Deep Learning Compiler Engineer - CUDA Tile

at Nvidia

USD 152,000-241,500 per year

SENIOR

✅ On-site

Tech Stack
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1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI API Algorithms @ 4 CUDA @ 4 Debugging @ 6 Deep Learning @ 4 GPU @ 4 GenAI Generative AI LLM LLVM @ 4 OpenCL @ 4 Performance Analysis @ 6 Performance Optimization

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.
Design and implement compiler transformations.
Develop MLIR-based dialects and lowering passes.
Optimize the performance of tile-based kernels across multiple generations of NVIDIA GPU architectures.
Define public APIs.
Develop and implement compiler and optimization techniques.
Perform performance optimization and other general software engineering tasks.
Independently define project goals and scope and lead 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 intermediate representation design.
Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.
Ability to work independently in a dynamic, product-oriented team.
Strong interpersonal skills.

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.

Compensation And Benefits

Base salary range: USD 152,000–241,500 per year.
Eligible for equity and benefits.
Applications will be accepted at least until September 6, 2026.
NVIDIA is an equal opportunity employer committed to an inclusive work environment.