# AI Agent Testing Engineer

**Company**: NVIDIA
**Work arrangement**: onsite
**Experience**: entry
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Software-Engineering-Intern--AI-Agent-Test-Development---2027_JR2027477?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5e6ca7cb-1d9

## Description

Join NVIDIA's team as an AI Agent Testing Engineer. You will be testing cutting-edge AI agents and end-to-end agentic workflows across the NV GPU Platform.

**Responsibilities:**

- Test AI agents and workflows across NV GPU Platform

- Validate models across inference runtimes, formats, precision, and hardware/software configurations

- Design and execute various tests, including functional, integration, and performance tests

- Develop automated tests and evaluation frameworks for AI capabilities

- Collaborate with development teams to resolve issues and improve test quality

**Requirements:**

- Currently pursuing a master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field

- Strong software development potential with Python and shell scripting skills

- Experience with open-source models, local inference runtimes, and AI development tools

- Knowledge of Linux, software development, and testing methodologies

- Fluent English and strong problem-solving, communication, and interpersonal skills

- Proactive, innovative, and self-motivated with a passion for learning cutting-edge technologies

- Ability to work full-time on-site for one year

**Preferred Qualifications:**

- Experience with LLM applications, AI agents, or agentic workflows

- Experience developing AI evaluation or test automation frameworks

- Knowledge of RAG, tool calls, prompt engineering, or multi-agent systems

- Experience with Docker, Kubernetes, OpenStack, or cloud-native technologies

- Experience with NVIDIA GPU hardware, CUDA, or parallel programming

- Experience evaluating quantized or optimized models on various GPU platforms

## Skills

### Required
- Python
- shell scripting
- Linux
- software development
- testing methodologies
- AI development tools
- problem-solving
- communication
- interpersonal skills

### Nice to have
- LLM applications
- AI agents
- agentic workflows
- AI evaluation frameworks
- test automation frameworks
- RAG
- tool calls
- prompt engineering
- multi-agent systems
- Docker
- Kubernetes
- OpenStack
- cloud-native technologies
- NVIDIA GPU hardware
- CUDA
- parallel programming

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Software-Engineering-Intern--AI-Agent-Test-Development---2027_JR2027477?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)