Build AI agents that augment security analyst judgment and automate detection, investigation, and response workflows. Lead agentic AI initiatives from experimentation through production using NVIDIA AI technologies, open models, and frontier models.
BS, MS, or PhD in Computer Science, AI, ML, Software Engineering, Cybersecurity, or related technical field
8+ years of experience building and shipping AI, ML, or intelligent software systems with production ownership
Strong software engineering skills in Python with production system experience
Hands-on experience with LLMs, RAG, agentic architectures, or agent harnesses
Experience designing AI evaluations and benchmarks with curated datasets and task-specific metrics
Experience with MLOps or LLMOps practices for deployment and continuous improvement
Demonstrated technical leadership across complex cross-functional projects
Strong understanding of cybersecurity or experience applying AI to security operations
Partner with security practitioners to identify high-impact workflows and deliver agentic systems
Provide technical direction for complex agentic AI initiatives across teams
Build context-aware agents that analyze security data and use approved tools
Establish repeatable evaluation for models and agents using realistic security environments
Use evaluation results and analyst feedback to improve agent quality and reliability
Take AI capabilities from experimentation to production using MLOps and LLMOps practices
Evaluate NVIDIA AI technologies alongside open-source and partner capabilities
Translate technical findings into recommendations that influence architecture and roadmaps
Role carries significant technical autonomy and influence over Applied AI roadmap
Level 4 base salary range is 184,000 USD - 287,500 USD
Level 5 base salary range is 224,000 USD - 356,500 USD
Applications accepted until August 21, 2026
Posting is for an existing vacancy
NVIDIA uses AI tools in recruiting processes
NVIDIA is an equal opportunity employer