GPU Workload Analysis Intern - 2026
NVIDIA
About this role
Member of the GPU System Architect team at NVIDIA focused on ensuring GPU functional correctness across graphics, compute, memory systems and multi-processor interconnects. The role centers on applying machine learning techniques to characterize and generate representative GPU workloads and supporting full-chip validation across pre-silicon and silicon platforms. It provides a broad systems-level view of GPU architecture and opportunities to innovate in workload-driven hardware validation.
Skills
Qualifications
About NVIDIA
nvidia.comNVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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About NVIDIA
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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and employee contacts for NVIDIA.
Salary
$97k – $131k
per year