# 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--DGX-Cloud-Test-Development---2027_JR2027480-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5c6adfdf-5d7

## Description

Join NVIDIA's team as an AI Agent Testing Engineer. You will be testing NVIDIA AI agents and end-to-end agentic workflows across the 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, performance, and security 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.

- Validate cloud-native AI service workflows across API endpoints, deployment, invocation, model serving, routing, streaming, autoscaling, cancellation, authorization, observability, and failure recovery.

- 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.

- Familiarity with REST API testing and cloud-native service validation.

- 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.

**Preferred Qualifications:**

- Experience testing 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 other cloud-native technologies; familiarity with Go is a plus.

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

## Skills

### Required
- Python
- shell scripting
- AI
- machine learning
- Linux
- software testing
- REST API testing
- cloud-native service validation

### 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
- Go
- 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--DGX-Cloud-Test-Development---2027_JR2027480-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)