2 days ago
Shanghai, ChinaIntern
Responsibilities
- Build and evaluate AI agent skills, MCP tools, harnesses, and agentic workflows for PerfLab automation.
- Develop data automation pipelines and infrastructure for performance test result collection, transformation, and visualization.
- Build interactive dashboards presenting benchmark insights to internal and external customers.
- Collaborate with NVIDIA experts on challenging projects and impactful engineering developments.
Requirements
- Pursuing a degree in Computer Science, Electrical Engineering, or a related field.
- Strong Python skills and experience building CLI tools, REST APIs, or automation scripts in Unix and Windows environments.
- Hands-on experience developing AI-powered applications such as AI agents, RAG pipelines, or MCP tools.
- Understanding of ML/DL workloads including CNNs, Transformers, and LLMs.
- Proficiency with AI coding tools such as Claude Code, Cursor, or Codex.
- Strong collaboration, communication, learning, written English, and spoken English skills.
- Preferred: experience with LangChain, LangGraph, or LlamaIndex; Physical AI model development; open-source DevOps, infrastructure, or AI tooling; research, internships, hackathons, competitions, or personal projects; and technical blogs, tech talks, or demo videos.
Benefits
- NVIDIA offers competitive salaries and a comprehensive benefits package for employees and their families.
Tech Stack
PythonWindows
Categories
AI ApplicationsData Engineering
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.