NVIDIA Off Campus Drive 2026 – System Software Engineer

Develop Autonomous AI agents contributing to next-generation GPU System SW stack and tools. Developing AI agents adopting LLMs, multimodal models, and autonomous agent frameworks, ensuring robust and production-ready deployments. Collaborate cross‑functionally with product, engineering, and research teams to ensure customer success and influence NVIDIA’s agentic AI roadmap. Build architectures, best practices, and solution patterns for deploying AI agents at scale across NVIDIA and deliver best in class solution to the customers.

Bachelor’s or Master’s degree in Computer Science, or related fields. Strong programming skills in Python, C++, CUDA, and experience with deep learning frameworks (PyTorch and TensorFlow). Knowledge on next generation of agentic AI systems—autonomous, reasoning‑driven agents capable of planning, collaborating, and executing complex tasks across diverse environments. Hands on experience with any agentic frameworks (e.g., LangChain, LangGraph, CrewAI, OpenAI APIs). Strong understanding of tool-use frameworks, database, retrieval systems, memory systems, and orchestration engines. Background in AI safety, control systems, evaluation frameworks, or agent alignment.