16 hours ago
Shanghai, ChinaIntern
Responsibilities
- Test AI agents and end-to-end agentic workflows across the NVIDIA 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 reasoning, tool use, multi-turn interactions, memory, and retrieval.
- Use AI development tools to improve 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.
Requirements
- Currently pursuing a master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Demonstrated software development potential with proficiency in Python and shell scripting.
- Hands-on experience downloading, configuring, and running open-source models, such as models from Hugging Face, using at least one local inference runtime or framework.
- Experience using AI development tools across the end-to-end QA workflow.
- Knowledge of Linux, software development, and testing methodologies.
- Fluent written and spoken English with strong problem-solving, communication, and interpersonal skills.
- Ability to work full-time, on-site five days per week for one year.
Benefits
- Full-time, on-site work five days per week for one year.
- Opportunity to work in a diverse and supportive NVIDIA environment on cutting-edge AI and accelerated-computing 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.