Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
ElasticSearch @ 2
Grafana @ 2
Linux @ 3
Python @ 6
Machine Learning @ 3
Bash @ 3
Mathematics @ 3
Debugging @ 3
Reporting @ 3
Splunk @ 2
GPU @ 3
Deep Learning @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
Responsibilities
- 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.
Requirements
- 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 / Preferred
- 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.
Compensation & application
- Internship hourly rate: 20 USD - 71 USD per hour.
- Applications accepted at least until May 31, 2026.
Additional notes
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and committed to fostering a diverse work environment.