Description
As a Software Engineering Intern, Test Development at NVIDIA, you will be working on testing NVIDIA AI agents and end-to-end agentic workflows across NV GPU Platform.
Your responsibilities will include:
- Designing and executing functional, integration, end-to-end, reliability, and performance tests.
- Developing automated tests and evaluation frameworks for capabilities such as reasoning, tool use, multi-turn interactions, memory, and retrieval.
- Using AI development tools to improve productivity across test planning, test case development, execution, analysis, and automation.
- Collaborating with development teams to triage issues, perform root-cause analysis, verify fixes, and improve test coverage and quality.
To be considered, you should:
- Be currently pursuing a master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Have strong software development potential, with proficiency in Python and shell scripting.
- Be familiar with AI, machine learning, large language models, or AI agent technologies.
- Have experience using AI development tools to improve quality and productivity across the end-to-end QA workflow.
- Possess good knowledge of Linux and software testing methodologies.
- Demonstrate strong problem-solving, communication, and interpersonal skills.
- Be fluent in written and spoken English.
- Have a proactive, innovative, and self-motivated attitude with a passion for learning cutting-edge technologies.
- Be able to work full-time, on-site five days per week, for one year.
Background in 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, and experience with NVIDIA GPU hardware, CUDA, or parallel programming would be advantageous.