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Senior Deep Learning Tools Engineer – CUDA Tile

NVIDIA
Location 📍 Santa Clara, United States
Posted 📅 June 01, 2026
Work Type ⏰ Full-time

Position Overview

NVIDIA is building advanced compiler technologies to accelerate AI workloads, and we are looking for an engineer focused on performance validation, analysis, and tracking. In this role, you will work at the intersection of deep learning compilers, GPU systems, and automation infrastructure, ensuring that performance improvements are measurable, scalable, and continuously validated over time.

Do you want to help drive the performance of next-generation compilers? Are you excited by how GPU performance powers breakthroughs in deep learning, autonomous systems, and high-performance computing? We are seeking a talented Deep Learning Compiler & Tools Engineer focused on CUDA Tile (Performance & Infrastructure) to join our team.


You will collaborate closely with compiler developers, infrastructure providers, and hardware teams to build systems that track, analyze, and improve performance across rapidly evolving AI workloads. If you're passionate about performance, sys...

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Job Details

Employment Type
Full-time
📊
Category
other-general
🏠
Work Arrangement
On-site
📍
Location
Santa Clara, United States