What We Need to See
Pursuing a degree in Computer Science, Electrical Engineering, or a related field.
Strong Python skills with experience in building CLI tools, REST APIs, or automation scripts in Unix and Windows environments.
Hands-on experience building AI-powered applications such as AI agents, RAG pipelines, or MCP tools.
Good understanding of ML/DL workloads (CNNs, Transformers, LLMs).
Proficient in applying leading AI coding tools (e.g., Claude Code, Cursor, Codex) to accelerate daily work.
Strong collaboration and communication skills, with the ability to learn quickly and work effectively in a dynamic environment.
Excellent written and spoken English.
Ways to Stand Out From the Crowd
Prior experience with agentic LLM frameworks like LangChain, LangGraph, or LlamaIndex.
End-to-end experience developing Physical AI models, from data collection and preparation through training, evaluation, and deployment..
Contributions to open-source projects in DevOps, infrastructure, or AI tooling.
Demonstrated innovation and problem-solving through research, internships, hackathons, competitions, or personal projects.
Experience writing technical blogs, giving tech talks, or creating demo videos to promote project outcomes.
Successfully implement your skills and join us in crafting the future of AI and computing!
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
