AI Agent Testing & Automation Intern

NVIDIA Corporation; Myrtle Point (OR); On-site; USD 52,000 - 66,000; Full time

Job summary

NVIDIA Corporation in Oregon is seeking a master’s student in CS/CE/EE for a full-time, one-year on-site QA internship focused on testing AI agents and evaluation frameworks across the NV GPU Platform. You will design and execute tests for models, runtimes, and configurations, and collaborate with developers to triage issues.

The ideal candidate has strong Python and shell scripting, experience with open-source models (Hugging Face), Linux knowledge, and excellent English communication.

Qualifications

• Master’s degree in CS, CE, EE or related field.
• Strong Python and shell scripting skills.
• Hands-on with open-source models (e.g., Hugging Face) and local inference runtimes.
• Experience with AI development tools to improve QA quality.
• Proficient Linux knowledge and testing methodologies.
• Fluent English communication and collaboration skills.

Responsibilities

• Test AI agents and end-to-end workflows across NV GPU Platform.
• Validate models across runtimes, formats, precision, and configurations.
• Design and execute functional, integration, end-to-end, reliability, and performance tests.
• Develop automated tests and evaluation frameworks for 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.

Skills

Python

Shell scripting

Linux

English communication

Proactive learning

Education

Master's degree in Computer Science, Computer Engineering, or Electrical Engineering

Tools

Hugging Face

Local inference runtimes

Job description

NVIDIA Corporation in Oregon is seeking a master’s student in CS/CE/EE for a full-time, one-year on-site QA internship focused on testing AI agents and evaluation frameworks across the NV GPU Platform. You will design and execute tests for models, runtimes, and configurations, and collaborate with developers to triage issues.

The ideal candidate has strong Python and shell scripting, experience with open-source models (Hugging Face), Linux knowledge, and excellent English communication.