Developer Intern: Drive GPU Performance & DL Impact

Socket.dev; Santa Clara (CA); On-site; USD 28,000 - 98,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA offers an 8–12 month full-time internship in Performance Engineering, Platform Performance and HPC. Interns work on GPU performance, power benchmarks, and related automation, with projects across Deep Learning, visualization, and HPC domains.

Applicants must be enrolled in a BS/MS program and indicate an anticipated graduation date on their resume. Hourly rates range from 20 USD to 71 USD, with intern benefits and ongoing application reviews.

Qualifications

• Must be actively enrolled in a university pursuing a BS/MS degree for the full 8–12 month duration.
• Anticipated graduation date (month and year) clearly indicated on resume or CV.
• Experience with GPU benchmarking, Linux scripting, and Python is preferred.

Responsibilities

• Run performance, power, and image quality benchmarks for GPU platforms.
• Develop automation scripts and tools to support benchmarking workflows.
• Analyze data and generate reports for internal teams across projects.

Skills

Python

Linux shell

CUDA

Docker

Education

B.S./M.S. in Electrical Engineering / Computer Science

Tools

TensorFlow

PyTorch

MXNet

CUDA

Job description

NVIDIA offers an 8–12 month full-time internship in Performance Engineering, Platform Performance and HPC. Interns work on GPU performance, power benchmarks, and related automation, with projects across Deep Learning, visualization, and HPC domains.

Applicants must be enrolled in a BS/MS program and indicate an anticipated graduation date on their resume. Hourly rates range from 20 USD to 71 USD, with intern benefits and ongoing application reviews.