Description
As an AI Agent Testing Engineer at NVIDIA, you will be working on testing cutting-edge AI agents and end-to-end agentic workflows across NV GPU Platform.
Responsibilities:
- Test AI agents and workflows across NV GPU Platform
- Validate models across inference runtimes, model formats, precision and quantization settings, and hardware/software configurations
- 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
- 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
- Hands-on experience downloading, configuring, and running open-source models
- Experience using AI development tools to improve quality and productivity across the end-to-end QA workflow
- Good knowledge of Linux, software development and testing methodologies
- Fluent written and spoken English and strong problem-solving, communication, and interpersonal skills
- 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:
- Background with LLM applications, AI agents, agentic workflows, developing AI evaluation or test automation frameworks
- Experience with NVIDIA GPU hardware, CUDA, or parallel programming
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Software-Engineering-Intern--AI-Agent-Test-Development---2027_JR2027478