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Senior HPC Performance Engineer - AI for Science at Scale

NVIDIA
Location πŸ“ Santa Clara, United States
Posted πŸ“… June 05, 2026
Work Type ⏰ Full-time

Position Overview

NVIDIA has become the platform upon which every new AI-powered application is built. We are seeking a Sr. HPC Performance engineer to join our team of scientists and engineers passionate about building the next generation of scientific machine learning (ML) frameworks. Starting with digital biology, through high performance computing (HPC) and powerful ML methods, together, we will advance NVIDIA’s capacity to accelerate AI for Science and industries that depend on it.

What you'll be doing:
+ Design and implement computationally performant features for large scale, CUDA-backed ML training frameworks, using low level acceleration and scaling strategies such as kernel design, GPU porting, data structure innovations, distributed learning technologies
+ Optimize computational performance of wide range of business-critical ML models via accelerated hardware and software stack, as well as algorithmic improvements
+ Develop and maintain HPC software stack for atomistic mod...

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Job Details

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Employment Type
Full-time
πŸ“Š
Category
other-general
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Work Arrangement
On-site
πŸ“
Location
Santa Clara, United States