Software Engineering Intern, Test Development - 2027

Overview

• 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.
• What you’ll be doing: Test NVIDIA AI agents and end-to-end agentic workflows across NV GPU Platform.
• Design and execute functional, integration, end-to-end, reliability, and performance tests.
• Develop automated tests and evaluation frameworks for capabilities such as reasoning, tool use, multi-turn interactions, memory, and retrieval.
• Use AI development tools to improve productivity across test planning, test case development, execution, analysis, and automation.
• Collaborate with development teams to triage issues, perform root-cause analysis, verify fixes, and improve test coverage and quality.
• What we need to see: Currently pursuing a master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Strong software development potential, with proficiency in Python and shell scripting.
• Familiarity with AI, machine learning, large language models, or AI agent technologies.
• Experience using AI development tools to improve quality and productivity across the end-to-end QA workflow.
• Good knowledge of Linux and software testing methodologies.
• Strong problem-solving, communication, and interpersonal skills.
• Fluent written and spoken English.
• A proactive, innovative, and self-motivated attitude with a passion for learning cutting-edge technologies.
• Ability to work full-time, on-site five days per week, for one year.
• Ways to stand out from the crowd: Background with testing LLM applications, AI agents, or agentic workflows.
• Experience developing AI evaluation or test automation frameworks.
• Knowledge of RAG, tool calling, prompt engineering, or multi-agent systems.
• Background with Docker, Kubernetes, OpenStack, or other cloud-native technologies.
• Experience with NVIDIA GPU hardware, CUDA, or parallel programming.