Develop an evidence-based view of possible observability pathways, including which trends appear durable, which remain speculative, and what developments would change your assessment.
Investigate whether object storage will become more central to observability or whether other architectures may change its role. Evaluate the question across workloads, economics, performance, and operational needs.
Use AI tools to accelerate discovery, organize sources, and explore competing ideas. Verify important claims against original materials, then develop your own analysis and write original content.
Write approximately two substantial whitepapers that explain your findings and propose avenues for further research or experimentation. Where possible, choose a focused prototype, benchmark, or analysis to test an important claim.
What we need to see
Pursuing a MS or PhD in Computer Science, Computer Engineering or equivalent program area.
Experience finding and synthesizing technical literature, evaluating competing claims, and producing clear written analysis through coursework, research, or projects.
Coursework or project experience in distributed systems, databases, storage, networking, or cloud computing.
Advanced programming experience and understanding of complex system implementations, to rigorously investigate technical questions.
Ways to stand out from the crowd
Technical papers, substantial research reports, other writing that turns complex systems material into a clear argument.
Interest in how observability, data platforms, and infrastructure may evolve as AI and large-scale computing change their workloads.
Experience with OpenTelemetry (logs, metrics, tracing), object storage, data lakes, and query engines.
A record of forming independent technical judgments, identifying uncertainty, and revising a position when new evidence warrants it.
Experimentation in original, non-traditional, creative writing and willingness to learn quickly, ask questions, and collaborate with cross-functional teams.
NVIDIA is widely considered to be one of the world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the industry 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 expected hourly rate for this position is 20 USD – 94 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until November 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
