GPU Inference Performance Intern & Modeling

Institute of Foundation Models; Sunnyvale (CA); On-site; USD 34,440 - 55,104; Part time

Benefits offered by this job

Hands-on experience with advanced AI systems

Job summary

The Institute of Foundation Models in Sunnyvale, California, seeks an intern to help optimize large-scale AI systems on NVIDIA GPUs. You will work alongside researchers in a fast-paced environment, contributing to performance modeling and simulator development.

This internship requires strong programming skills in C++, CUDA, and knowledge of NVIDIA GPU architecture. Ideal candidates are pursuing degrees in Computer Science or related fields and have a passion for AI and performance engineering.

Qualifications

• Currently pursuing a degree in a relevant field.
• Strong programming skills in C++, CUDA, and Python are required.
• Understanding of NVIDIA GPU architecture and memory hierarchy.

Responsibilities

• Develop analytical performance models for GPU kernels.
• Build and validate a simulator for NVIDIA GPUs.
• Document findings and provide actionable recommendations.

Skills

CUDA programming

GPU kernel development

Performance profiling tools

Python

C++

Education

Degree in Computer Science or related field

Tools

NVIDIA Nsight Systems

NVIDIA Nsight Compute

Job description

The Institute of Foundation Models in Sunnyvale, California, seeks an intern to help optimize large-scale AI systems on NVIDIA GPUs. You will work alongside researchers in a fast-paced environment, contributing to performance modeling and simulator development.

This internship requires strong programming skills in C++, CUDA, and knowledge of NVIDIA GPU architecture. Ideal candidates are pursuing degrees in Computer Science or related fields and have a passion for AI and performance engineering.