Description
As a Software Engineering Intern, Test Development at NVIDIA, you will be immersed in a diverse, supportive environment where everyone is inspired to do their best work. You will test NVIDIA AI agents and end-to-end agentic workflows across NV GPU Platform.
Responsibilities:
- 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.
Requirements:
- 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.
Nice to Have:
- Experience 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.
- Experience with Docker, Kubernetes, OpenStack, or other cloud-native technologies.
- Experience with NVIDIA GPU hardware, CUDA, or parallel programming.