AI & HPC Performance Intern

NVIDIA; Santa Clara (CA); On-site; USD 28,654,000 - 101,722,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA invites students to join their 8–12 month Developer and Performance Technology internship program in California. Interns will work on projects with measurable impact across performance engineering, platform performance, and deep learning HPC domains. Candidates should be pursuing a relevant B.S.

or M.S. degree and be prepared for hands-on benchmarking and automation tasks. Internships are full-time and compensate with hourly pay based on position, location, and experience.

Qualifications

• Must be actively enrolled in a university pursuing a B.S. or M.S. degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field for the full 8–12-month duration.
• Anticipated graduation date (month and year) must be clearly indicated on a resume or CV.
• Internship candidates should be pursuing relevant fields and be open to hands-on benchmarking and performance testing.

Responsibilities

• Run performance, image quality, and power tests for GPU platforms and benchmarking applications.
• Build automation scripts to streamline benchmarking procedures and configurations.
• Develop tools and scripts for data collection, analysis, and reporting across DL and HPC workloads.

Skills

GPU programming

Python scripting

Linux

Shell scripting

Tools

Docker

Singularity

CUDA

Job description

NVIDIA invites students to join their 8–12 month Developer and Performance Technology internship program in California. Interns will work on projects with measurable impact across performance engineering, platform performance, and deep learning HPC domains. Candidates should be pursuing a relevant B.S.

or M.S. degree and be prepared for hands-on benchmarking and automation tasks. Internships are full-time and compensate with hourly pay based on position, location, and experience.