GPU Workload Analysis Intern - 2026
NVIDIA(3 months ago)
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.
Required Skills
- Deep Learning
- Model Training
- GPU Architecture
- Workload Analysis
- Feature Extraction
- Test Generation
- Verification
- Documentation
- Problem Analysis
- Communication
Qualifications
- BS in Computer Science
- BS in Electrical Engineering
- MS
- PhD
About NVIDIA
nvidia.comNVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
View more jobs at NVIDIA →Apply instantly with AI
Let ApplyBlast auto-apply to jobs like this for you. Save hours on applications and land your dream job faster.
More jobs at NVIDIA
Similar Jobs
GPU SOC Design Engineer
Intel(20 days ago)
GPU Software Engineer
CAE(15 days ago)
Member of Technical Staff (GPU Engineer)
Reka(1 month ago)
GPU Design Verification Engineer
Intel(19 days ago)
Performance Engineer
Etched(3 months ago)
Software Engineer, Trace Semantics & Workload Analysis
Samsung Research America(1 month ago)