Systems Software Engineer Intern, Metropolis - Fall 2026

NVIDIA • Santa Clara, CA

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About The Position

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! NVIDIA is searching for an intern who can develop tools, maintain, and handle high performance Infrastructure Systems, that runs AI/Machine Learning video analytics workloads, using NVIDIA Data center GPUs for our Metropolis Platform. Data is the lifeblood of the modern city. Today, it’s being brought together by over 500 million cameras worldwide, and that number is growing exponentially. This is crafting a tsunami of information that’s impossible for humans to analyze. AI is the key to turning this information into insight. It’s redefining how we collect, inspect, and analyze data to impact everything from public safety, traffic, and parking management to law enforcement and city services. NVIDIA Metropolis is leading this AI revolution, providing the tools, technologies, and expertise to meet every challenge with smarter, faster applications. We are now looking for a Systems Software Intern to join the Metropolis team. This exciting role will require someone who can build tools to automate software deployments, monitor systems, analyze logs and software delivery for the Metropolis Lab.

Requirements

• Pursuing BS or MS in Computer Science or Engineering.
• Basic Linux system administration skills.
• Ability to code with Python or similar languages.
• Understanding of operating systems (Linux) and computer architecture.
• Knowledge of building web applications and databases.
• Knowledge of Docker and Kubernetes environments.

Nice To Haves

• Understanding of building and working with AI models
• System administration BareMetal and/or Cloud environments
• Good programming skills with Python/ReactJs/NodeJs
• Good understanding Docker Kubernetes and Helm

Responsibilities

• Help Automate parts of AI Model production and processes for software delivery.
• Monitor, Collect and analyze system and application logs.
• Use of Prometheus to survey system metrics.
• Help setup and run Kubernetes systems
• Maintain and configure on-prem test system with automation.
• Create and setup CI/CD automation via GitLab runners and/or Jenkins pipeline scripting
• Develop and maintain DevOps MCP servers to automate development processes.

Benefits

• Intern benefits
• Internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience.

What This Job Offers

• Career Level: Intern