Systems Research Intern, Observability – Summer 2027
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About the opportunity
NVIDIA builds data and observability systems that help engineers understand and operate large-scale services. We are looking for an intern who enjoys both asking foundational questions and building working systems to answer them.
Working with observability and data platform engineers, you will study how the field may evolve over the next five years, investigate NVIDIA’s data systems, and turn promising ideas into prototypes, measurements, and clear technical recommendations.
Key responsibilities
- Find, read, and critically assess research papers, technical reports, architecture documents, and industry material on observability and large-scale data systems.
- Track the ideas and organizations that may signal meaningful shifts in the field.
- Study NVIDIA’s relevant data and observability systems through documentation and conversations with engineers.
- Identify how today’s design choices relate to broader changes in storage, compute, query, and telemetry.
- 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 across workloads, economics, performance, and operational needs.
- Use AI tools to accelerate discovery, organize sources, and explore competing ideas, verify important claims, and develop your own analysis and original content.
- Write approximately two substantial whitepapers that explain your findings and propose avenues for further research or experimentation, including focused prototypes, benchmarks, or analyses where possible.
Qualifications
- 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.
Nice to have
- Technical papers, substantial research reports, or 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.
Benefits
- Eligible for Intern benefits.
Job details
- Expected hourly rate: 20 USD – 94 USD based on the position, location, year in school, degree, and experience.
- Application deadline: Accepted at least until November 13, 2026.
- Posting type: Existing vacancy.
About the company
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing, using our GPU as the brains of computers, robots, and self-driving cars that can understand the world.
As an NVIDIAN, you will be immersed in an inclusive, encouraging environment where everyone is inspired to do their best work to make a lasting impact on the world.
Additional information
- NVIDIA uses AI tools in its recruiting processes.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
