Nvidia Software Engineer Fleet Health Instrumentation Intern - Fall 

United States, California 

127719794

What you will do:

• Design and build softwarethat collects, transforms, and publishes health data about our global GPU fleet.

• Develop micro-services and data pipelinesin Go or Python that ingest and normalize data from many diverse sources—routing millions of records per day (Kafka, Airflow, Kinesis).

• Instrument production infrastructure and workloadsrunning on Kubernetes and bare-metal clusters; add tracing and metrics hooks for deeper insights.

• Automate deployments and testingwith CI/CD (GitLab, Argo) and IaC (Terraform), ensuring repeatable, low-touch releases.

• Participate in the full lifecycle of cloud services—from design docs and code reviews through deployment, monitoring, and continuous improvement.

• Collaborate with other engineersto debug live issues and turn post-incident insights into durable code fixes.

• Contribute to internal toolingand dashboards that help engineers visualize fleet health, utilization, and capacity trends.

What we need to see:

• Actively pursuing aBS or MSin Computer Science, Computer Engineering, or a closely related quantitative field (e.g., Physics or Mathematics).

• Solid understanding ofdistributed‑systems fundamentals, modern software‑engineering practices, and data‑modeling principles.

• Proficiency in at least one programming language—preferablyPython or Go.

• Working knowledge ofLinux, basic networking concepts, andKubernetescontainer orchestration.

Ways to stand out from the crowd:

• systematic, analytical problem‑solving approachpaired with clear written and verbal communication skills and a strong sense of ownership.

• Demonstrated ability todebug, optimize, and automatecode or workflows with minimal guidance.

• Hands‑on experiencebuilding, deploying, and operating servicesin a public‑cloud or large on‑prem environment.

You will also be eligible for Intern