About the role#
NVIDIA builds data and observability systems to help engineers operate large-scale services. We are looking for an intern to study how this field may evolve over the next five years. You will investigate our current data systems, explore foundational questions, and turn ideas into prototypes, measurements, and technical recommendations.
What you'll do#
- Find and critically assess research papers, technical reports, and industry material on observability and large-scale data systems.
- Track organizations and ideas that signal shifts in the field.
- Study NVIDIA data and observability systems through documentation and conversations with engineers.
- Identify how current design choices relate to changes in storage, compute, query, and telemetry.
- Develop an evidence-based view of observability pathways, assessing which trends are durable or speculative.
- Investigate the role of object storage versus other architectures across workloads, economics, and performance.
- Use AI tools to accelerate discovery and organize sources.
- Verify claims against original materials and develop independent analysis.
- Write two substantial whitepapers explaining your findings and proposing research or experimentation.
- Develop a focused prototype, benchmark, or analysis to test important claims.
What you'll need#
- Pursuing a MS or PhD in Computer Science, Computer Engineering, or an equivalent program.
- Experience synthesizing technical literature, evaluating competing claims, and producing written analysis.
- Coursework or project experience in distributed systems, databases, storage, networking, or cloud computing.
- Advanced programming experience and an understanding of complex system implementations.
- Preferred: Experience with OpenTelemetry, object storage, data lakes, and query engines.
- Preferred: A record of forming independent technical judgments and revising positions when new evidence warrants it.
- Preferred: Experience writing technical papers or research reports that turn complex material into clear arguments.
- Preferred: Interest in how observability and infrastructure evolve as AI and large-scale computing change workloads.
Location & details#
- Location: Santa Clara, California.
- Term: Summer 2027.
- Modality: On-site.
- Employment: Full-time internship.
- Compensation: Paid internship with an expected hourly rate between 20 USD and 94 USD, based on location, year in school, degree, and experience.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
Applying early gives you a distinct advantage at NVIDIA because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can apply among the first before the pile grows. Getting your resume in front of a human early is often the difference between a screening call and a rejection. You can use Intern Insider to surface the recruiters behind NVIDIA roles to reach out directly. Asking a recruiter about the role or a referral materially improves your response rates compared to submitting into a general queue. It is a simple way to make your application stand out in a competitive process.
