Systems Research Intern, Observability – Summer 2027

Details

NVIDIA builds data and observability systems that help engineers understand and operate large-scale services. The intern will work with observability and data platform engineers to study how the field may evolve over the next five years, investigate NVIDIA’s data systems, and turn promising ideas into prototypes, measurements, and technical recommendations.

Responsibilities

• Find, read, and critically assess research papers, technical reports, architecture documents, and industry material on observability and large-scale data systems.
• Track 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 current design choices relate to broader changes in storage, compute, query, and telemetry.
• Develop an evidence-based view of possible observability pathways, including durable trends, speculative trends, and developments that could change the assessment.
• Investigate whether object storage will become more central to observability or whether other architectures may change its role, evaluating workloads, economics, performance, and operational needs.
• Use AI tools to accelerate discovery, organize sources, and explore competing ideas. Verify important claims against original materials and develop original analysis.
• Write approximately two substantial whitepapers explaining findings and proposing avenues for further research or experimentation.
• Where possible, choose a focused prototype, benchmark, or analysis to test an important claim.

Requirements

• Pursuing a master’s or PhD in Computer Science, Computer Engineering, or an 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 an understanding of complex system implementations sufficient to rigorously investigate technical questions.

Preferred Qualifications

• 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, including logs, metrics, and 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.
• Experience with original, non-traditional, or creative writing, along with a willingness to learn quickly, ask questions, and collaborate with cross-functional teams.

Compensation and Benefits

The expected hourly rate is USD 20–94. Intern benefits are available.

Applications will be accepted at least until November 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is committed to an inclusive work environment and equal opportunity employment.