NVIDIA is looking for a data analytics intern to work on datacenter telemetry information analysis and reporting. Be part of the company developing the most exciting computing hardware and software and contribute to the latest breakthroughs in artificial intelligence and GPU computing. Provide insights on large scale GPU accelerated data centers status, utilization and health using Machine Learning tools and techniques. The right person will be working with the latest accelerated computing and Deep Learning software and hardware platforms, collaborating with many scientific researchers, developers, and customers to craft improved workflows and develop new leading differentiated solutions. Our team interacts with OS container technologies, GPU compute, and systems specialists to architect, develop and bring up large scale performance software components and optimize performance.

What you’ll be doing:

Work with a team passionate about large scale datacenter development and deployment. Assist in analyzing large scale workloads and searching for application and infrastructure improvement opportunities.
Develop and implement a Machine Learning algorithm for rapid classification and prediction. The implementation will integrate into existing software toolsets for usability.
Deliver actionable cluster insights by analyzing telemetry data and applying machine learning to assist engineers in building creative solutions based on NVIDIA technology.
Research and analyze data, identify trends of interest, link changes to recorded events, craft conclusions and help the team make intelligent data-based decisions. Explore methods to describe data and predict events using numerical methods and machine learning.
Work closely with a mentor to learn more about analysis needs and communicate findings with team members
Document work and related materials to help us build on top of your contributions.

What we need to see from you:

Pursuing BS, MS, or PhD in Mathematics, Computer Science, Engineering, or another relevant field.
Strong programming skills, especially in Python.
Deep Learning framework skills.
Understanding of core machine learning techniques and concepts.
Shown debugging and problem-solving skills.
Knowledge of Linux based operating systems, Python, Bash, C/C++.

Ways to stand out:

Familiarity with Linux and bash scripting, experience with Splunk or another logging management tool (Grafana, ElasticSearch).
Exposure to high performance or large-scale computing environments and visualization techniques.
Strong analytical skills with good attention to detail.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Intern benefits.

Applications for this job will be accepted at least until May 31, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Learn more about this Employer on their Career Site

Data Analysis Intern, Applied System Engineering - Fall 2026