Principal Software Engineer - Enterprise AI Platform

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$272,000–$431,250 / yr
Posted
73 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $219k
This role $352k
$147k most similar roles pay here $462k

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

About Nvidia

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

TL;DR · Principal Software Engineer - Enterprise AI Platform

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.

What you'll do

  • Lead technical strategy and execution for securing autonomous agents across the enterprise.
  • Define and implement security requirements and scalable architectures for agent safety.
  • Design isolation, policy enforcement, and access controls for agent runtimes and integrations.
  • Establish observability and auditing infrastructure to ensure operational safety at scale.
  • Build secure pathways for agents to access internal and external data sources securely.

What we're looking for

  • Over 15 years of experience building and securing large-scale systems or infrastructure.
  • Proven ability to lead complex technical initiatives as a senior individual contributor.
  • Strong understanding of security fundamentals including threat modeling, authentication/authorization, and incident response.
  • Demonstrated experience with sandboxing/isolation technologies such as containers, microVMs, and Linux security primitives.
  • Solid programming skills in languages like Python or Go, and comfort working across stack boundaries.
  • Experience designing systems with strong observability and auditability for AI/ML applications.
  • Familiarity with securing agentic AI systems or LLM applications that execute code autonomously.

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