Senior DL Compiler Engineer – CUDA Tile LPU

NVIDIA

. Support CUDA Tile, a tile-based programming model, for NVIDIA LPUs .

Posted 10/6/2026full-timeUnited StatesSenior💰 $152,000 - $241,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in compiler optimization, performance analysis, and IR design, with strong skills in C/C++ programming and software design. Proficient in developing MLIR-based dialects and optimizing performance for NVIDIA GPU and LPU architectures.

Highest-signal resume keywords

Compiler OptimizationC/C++ ProgrammingMLIR DevelopmentPerformance AnalysisCUDA Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Compiler TransformationsPerformance OptimizationSoftware EngineeringDebuggingTest Design

Soft Skills

Interpersonal SkillsIndependent WorkTeam Collaboration

Tools & Technologies

CUDAOpenCLLLVMXLATVM

Industry Keywords

Tile-Based ProgrammingDeep LearningGPU ArchitecturePublic APIsNVIDIA LPU

Tech Stack

Tools & technologies

C++

About the role

Key responsibilities & impact

Support CUDA Tile, a tile-based programming model, for NVIDIA LPUs
Design and implement compiler transformations
Develop MLIR-based dialects and lowering passes
Optimize tile-based kernel performance across multiple generations of NVIDIA GPU and LPU architectures
Define public APIs
Craft and implement compiler and optimization techniques
Perform performance optimization and general software engineering work
Work 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 (preferred)
CUDA or OpenCL programming experience (preferred)
Experience with MLIR, LLVM, XLA, TVM, and deep learning models and algorithms (preferred)

Benefits

Comp & perks

Equity
Comprehensive benefits package