Senior DL Compiler Engineer – CUDA Tile

NVIDIA

NVIDIA compiler engineer developing CUDA Tile transformations, MLIR dialects, and optimization passes. Improving tile-kernel performance across GPU architectures for deep-learning workloads.

Posted 9/2/2026full-timeRemote • California, Oregon, Texas, Washington • 🇺🇸 United StatesSenior💰 $152,000 - $241,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in compiler optimization and performance analysis, with strong skills in C/C++ programming and a solid understanding of GPU architecture. Capable of designing and implementing compiler transformations and optimizing performance for NVIDIA GPU architectures.

Highest-signal resume keywords

Compiler OptimizationC/C++ ProgrammingCUDA ProgrammingMLIR ExperiencePerformance Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Compiler TransformationsPerformance OptimizationSoftware DesignDebuggingTest Design

Soft Skills

Interpersonal SkillsIndependent WorkTeam Collaboration

Tools & Technologies

CUDAOpenCLMLIRLLVMXLATVM

Industry Keywords

GPU ArchitectureDeep Learning ModelsTile-Based ProgrammingIR Design

Tech Stack

Tools & technologies

C++

About the role

Key responsibilities & impact

Work on CUDA Tile, a tile-based programming model for NVIDIA GPUs
Design and implement compiler transformations
Develop MLIR-based dialects and lowering passes
Optimize tile-based kernel performance across multiple generations of NVIDIA GPU architectures
Define public APIs
Craft and implement compiler and optimization techniques
Perform performance optimization and general software engineering work
Collaborate with a top-notch team to impact the deep learning community

Requirements

What you’ll need

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 and ability to work in a dynamic product-oriented team
Knowledge of CPU and/or GPU architecture
CUDA or OpenCL programming experience
Experience with MLIR, LLVM, XLA, TVM, deep learning models and algorithms

Benefits

Comp & perks

Equity
Comprehensive benefits package