3 days ago
Shanghai, ChinaIntern
Responsibilities
- Test NVIDIA AI agents and end-to-end agentic workflows across the NV GPU Platform.
- Design and execute functional, integration, end-to-end, reliability, performance, and security tests.
- Develop automated tests and evaluation frameworks for reasoning, tool use, multi-turn interactions, memory, and retrieval.
- Use AI development tools across test planning, test development, execution, analysis, and automation.
- Validate cloud-native AI service workflows covering APIs, deployment, invocation, model serving, routing, streaming, autoscaling, cancellation, authorization, observability, and failure recovery.
- Collaborate with development teams on issue triage, root-cause analysis, fix verification, and test coverage improvements.
Requirements
- Currently pursuing a master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Proficiency in Python and shell scripting, with strong software development potential.
- Familiarity with AI, machine learning, large language models, or AI agent technologies.
- Experience using AI development tools across the end-to-end QA workflow.
- Knowledge of Linux and software testing methodologies.
- Familiarity with REST API testing and cloud-native service validation.
- Strong problem-solving, communication, and interpersonal skills, with fluent written and spoken English.
- Ability to work full-time, on-site five days per week, for one year.
- Preferred experience includes testing LLM applications, AI agents, or agentic workflows; developing AI evaluation or test automation frameworks; and knowledge of RAG, tool calling, prompt engineering, or multi-agent systems.
- Additional preferred experience includes Docker, Kubernetes, OpenStack, Go, NVIDIA GPU hardware, CUDA, or parallel programming.
Benefits
- Full-time, on-site work five days per week for one year.
- Supportive and diverse environment at NVIDIA with opportunities to work on cutting-edge AI and cloud technologies.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.