NVIDIA Software Engineer Job Openings 2026 – Apply Now!

Qualifications

What NVIDIA needs to see:

• 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.

Ways to stand out from the crowd:

• Demonstrated experience building or deploying agentic AI systems, LLM‑based agents, workflow orchestration, or multi‑agent frameworks in real‑world environments.
• Prior contributions to open‑source AI ecosystems, including agent frameworks, LLM integrations, inference optimization, or GPU‑accelerated ML libraries.

What you’ll be doing:

• 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.