Senior HPC Architect, Automation, At-Scale Deployment

NVIDIA

Senior HPC Architect supporting deployment of large-scale GPU compute clusters for NVIDIA, enabling breakthroughs in artificial intelligence and GPU computing.

Posted 4/30/2026full-timeRemote • California, Colorado, Texas, Washington • 🇺🇸 United StatesSenior💰 $184,000 - $287,500 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Provide engineering solutions to operationalize the latest GPU Computing products and software stacks
Ensure technical relationships with internal and external engineering teams
Assist systems, machine learning/deep learning engineers in building creative solutions based on NVIDIA technology
Be an internal reference for system administration, at-scale system analysis, and other datacenter and large-scale GPU-accelerated system solutions among the NVIDIA technical community

Requirements

What you’ll need

8+ years of experience using in accelerated computing for datacenter/HPC-based Enterprise computing solutions
Solid understanding of accelerated computing scheduling and I/O stacks
C/C++/Python/Bash programming/scripting experience
Experience working with engineering or academic research community supporting high performance computing or deep learning
Experience with parallel filesystems
Strong teamwork and communication skills, both verbal and written
Ability to multitask effectively in a dynamic environment
Action driven with strong analytical skills
Desire to be involved in multiple diverse and innovative projects
BS (or equivalent experience) in Engineering, Mathematics, Physics, or Computer Science
MS or PhD desirable

Benefits

Comp & perks

highly competitive salaries
comprehensive benefits package

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

GPU Computingaccelerated computingCC++PythonBashparallel filesystemssystem administrationmachine learningdeep learning

Soft Skills

teamworkcommunicationmultitaskinganalytical skillsaction driven