About the role#
NVIDIA builds data and observability systems to help engineers operate large-scale services. We are looking for an intern to ask foundational questions and build systems to answer them. You will work with observability and data platform engineers to study how the field may evolve over the next five years. This involves investigating our data systems and turning promising ideas into prototypes, measurements, and clear technical recommendations.
What you'll do#
- Find, read, and critically assess research papers, technical reports, and industry material on observability and large-scale data systems.
- Track ideas and organizations 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, including durable trends and speculative developments.
- Investigate the role of object storage versus alternative architectures across workloads, economics, performance, and operational needs.
- Use AI tools to accelerate discovery, organize sources, and explore competing ideas.
- Verify claims against original materials and develop independent analysis.
- Write approximately two substantial whitepapers explaining findings and proposing avenues for further research.
- Create a focused prototype, benchmark, or analysis to test an important claim.
What you'll need#
- Pursuing an MS or PhD in Computer Science, Computer Engineering, or an equivalent program.
- Experience finding and synthesizing technical literature, evaluating competing claims, and producing clear 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.
- Technical papers or substantial research reports that translate complex systems material into clear arguments.
- Interest in how observability, data platforms, and infrastructure evolve as AI and large-scale computing change workloads.
- Experience with OpenTelemetry, object storage, data lakes, and query engines.
- A record of forming independent technical judgments and revising positions when new evidence warrants it.
- Willingness to learn quickly, ask questions, and collaborate with cross-functional teams.
Location & details#
- Location: Santa Clara, California.
- Term: Summer 2027.
- Type: Full-time, on-site.
- Pay: 20 USD to 94 USD per hour.
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
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