Lead Principal Engineer, Enterprise Agentic AI Platform
Nvidia
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How this pay compares to similar roles
This role pays more than 99% of similar roles. Most pay $192,050–$246,150 — the shaded band above. At the midpoint, this role pays about $352k versus about $219k for comparable roles.
Based on 240 similar postings.
Employer
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 563 open roles on FindRole.
Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.
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At a glance
NVIDIA seeks a Principal Engineer with extensive experience in building secure large-scale systems to lead the security foundations for autonomous agents across the enterprise. This role involves defining and implementing robust safety and security programs for self-evolving agents that refine their behavior over time, ensuring developer velocity while maintaining strict guardrails at both build and run times. Key responsibilities include designing isolation and policy enforcement mechanisms, establishing observability and auditing infrastructure, and building a continuous evaluation framework to ensure operational safety. The ideal candidate should have expertise in sandboxing technologies, strong programming skills (Python, Go), and experience with Kubernetes and runtime security tools. Familiarity with agentic AI concepts, LLM applications, and enterprise developer workflows is essential, as the role requires close collaboration with cross-functional teams including Cloud, AI/ML, Legal, Security, and Agent Identity to drive long-term success at NVIDIA.
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