Agentic AI Kernel Engineer — GPU Automation
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Software Development
Job Description & How to Apply Below
NVIDIA's GPU SW Kernel organization is seeking an experienced software engineer to build agentic AI systems that operate on GPU software artifacts, including source code, crash dumps, change lists, test results, and CI/CD signals. You will own the end-to-end lifecycle of agentic services from prototype to deployment and continuous improvement.
The role requires 8+ years in software engineering, strong Python, and hands-on experience with LLM frameworks and RAG pipelines.
We would love to welcome a new Agentic AI Kernel Engineer — GPU Automation to our group in Santa Clara, CA, United States.
We would love to welcome a new Agentic AI Kernel Engineer — GPU Automation to our organisation in Santa Clara, CA, United States.
For the Agentic AI Kernel Engineer — GPU Automation position at NVIDIA Corporation, we are reviewing applications now.
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