NVIDIA Data Analysis Intern Fall 2026 Santa Clara | GPU ML
| Company | NVIDIA (GPU computing, AI, datacenter acceleration) |
| Role | Data Analysis Intern — Applied System Engineering (Fall 2026) |
| Location | Santa Clara, CA |
| Compensation | 20–71 USD/hour (based on location, year in school, degree, experience) |
| Deadline | Apply by at least May 31, 2026 |
| Focus | GPU datacenter telemetry, ML classification/prediction, cluster health insights |
| Stack | Python, deep learning frameworks, Linux, Bash, C/C++; Splunk/Grafana/ElasticSearch a plus |
Overview
NVIDIA is hiring a Data Analysis Intern on the Applied System Engineering team for Fall 2026 in Santa Clara — analyzing large-scale GPU-accelerated datacenter telemetry to deliver actionable cluster insights on status, utilization, and health using machine learning tools and techniques.
You'll develop ML algorithms for rapid classification and prediction, integrate them into existing software toolsets, and collaborate with researchers, developers, and customers on workflows across container technologies, GPU compute, and large-scale performance optimization.
Key Requirements & Critical Rules
- Location: Santa Clara, CA.
- Degree: Pursuing BS, MS, or PhD in Mathematics, Computer Science, Engineering, or related field.
- Programming: Strong Python skills; knowledge of Linux, Bash, C/C++.
- ML: Deep learning framework skills; understanding of core machine learning techniques.
- Work scope: Analyze datacenter telemetry, develop ML for classification/prediction, identify trends, link events to changes, deliver cluster insights to engineering teams.
- Stand out: Splunk, Grafana, or ElasticSearch; high-performance/large-scale computing; visualization techniques.
- Compensation: 20–71 USD/hour based on location, year in school, degree, and experience.
- Deadline: Applications accepted at least until May 31, 2026.