Software Engineering Intern, AI Automation Infra - 2027

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Become a Software Engineer Intern at NVIDIA and join the PerfLab team! This exceptional opportunity enables you to work with leading experts and support groundbreaking projects in an inclusive and varied environment.

What You'll Be Doing

• Build and evaluate AI agent skills, MCP tools, harnesses and agentic workflows to automate PerfLab operations and boost team efficiency.

• Build and implement data automation pipelines and infrastructure for performance test result collection, transformation, and visualization.

• Build interactive dashboards to present benchmark insights to internal and external customers.

• Work with NVIDIA's global experts to tackle intriguing challenges and drive impactful project developments.

What We Need to See

• Pursuing a degree in Computer Science, Electrical Engineering, or a related field.

• Strong Python skills with experience in building CLI tools, REST APIs, or automation scripts in Unix and Windows environments.

• Hands-on experience building AI-powered applications such as AI agents, RAG pipelines, or MCP tools.

• Good understanding of ML/DL workloads (CNNs, Transformers, LLMs).

• Proficient in applying leading AI coding tools (e.g., Claude Code, Cursor, Codex) to accelerate daily work.

• Strong collaboration and communication skills, with the ability to learn quickly and work effectively in a dynamic environment.

• Excellent written and spoken English.

Ways to Stand Out From the Crowd

• Prior experience with agentic LLM frameworks like LangChain, LangGraph, or LlamaIndex.

• End-to-end experience developing Physical AI models, from data collection and preparation through training, evaluation, and deployment..

• Contributions to open-source projects in DevOps, infrastructure, or AI tooling.

• Demonstrated innovation and problem-solving through research, internships, hackathons, competitions, or personal projects.

• Experience writing technical blogs, giving tech talks, or creating demo videos to promote project outcomes.

Successfully implement your skills and join us in crafting the future of AI and computing!

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family nvidiabenefits.com ↗