Skip to content

Principal Security Architect, Agent Policy Fabric

US, CA, Santa Clara; US, NC, Remote; US, NY, Remote; US, TN, Remote; US, FL, Remote; US, CA, Remote
Full Time Remote

Summary

Job Description

NVIDIA is commonly regarded as one of the most desirable employers, with some of the world's most dedicated people working for us! The Cloud Engineering & Services team is defining how agentic systems can be deployed responsibly across the enterprise: governed access to company systems, durable policy, scoped credentials, runtime containment, detector-informed response, and audit evidence that security, IT, product, and business leaders can trust.

We are looking for a Principal Security Architect, Cloud Engineering & Services, to join our Agent Security, Safety, and Governance team and lead cross-company security architecture for agentic AI. You will use Agent Policy Fabric as a starting point for enterprise agent governance while coordinating efforts among security product teams, OpenShell, and runtime groups; Identity, IT, Fleet/MDM, and SecOps; corporate application owners; and partner organizations to turn a working draft architecture into practical security standards, roadmaps, and adoption plans.

What You'll Be Doing:

  • Lead Enterprise Agent Security Architecture: Define the cross-company reference architecture for governed agent actions, including durable policies, runtime controls, adapter boundaries, credential mediation, detector response, audit correlation, failure modes, and production-readiness criteria.

  • Drive APF as a Governance Starting Point: Translate Agent Policy Fabric concepts into executive-ready decision papers, engineering standards, threat models, control objectives, and implementation achievements without treating working-draft architecture as a pre-decided product direction.

  • Align Cross-Organization Owners: Partner with Product Security, OpenShell, Omnistation, Identity, IT, Fleet/MDM, SecOps, 3S, legal/privacy, and corporate-resource owners to define who owns each control surface and how agent workflows move from proof-of-life to enterprise pilot.

  • Build Security Review and Adoption: Establish review patterns for agent workflows, including policy authoring, approval, signing, runtime admission, credential issuance, direct-egress controls, audit evidence, managing anomalies, and break-glass procedures.

  • Represent the Architecture: Brief senior leaders, customer-facing teams, and partner engineering teams on NVIDIA's agent security posture, APF maturation path, open decisions, known limitations, and the evidence required before broader deployment.

What We Need To See:

  • Bachelor's degree (or equivalent experience) with 15+ years of industry experience in security architecture, product security, enterprise security platforms, identity and access management, cloud security, or infrastructure governance.

  • Security Architecture Leadership: Validated ability to lead ambiguous, cross-functional security initiatives across product, platform, infrastructure, IT, and security operations teams.

  • Agent AI Security Judgment: Practical understanding of agentic AI risks, tool-call governance, prompt-injection limits, sandbox boundaries, credential exposure risks, audit requirements, and the difference between containment, authorization, and monitoring.

  • Enterprise Control Design: Experience designing controls around identity, authorization, policy, secrets, network egress, runtime isolation, telemetry, SIEM integration, exception workflows, and compliance evidence.

  • Executive and Engineering Communication: Ability to write crisp architecture memos, decision records, threat models, standards, and adoption plans that are useful to both senior leaders and implementation teams.

Ways to Stand Out from the Crowd:

  • Agent Governance Experience: Experience securing agent platforms, AI copilots, autonomous workflows, MCP-style tool systems, sandboxed runtimes, or governed access to enterprise SaaS and engineering systems.

  • Policy and Identity Depth: Familiarity with OPA/Rego, Cedar, Zanzibar-style authorization, OAuth/OIDC, SAML, workload identity, delegated authorization, signed configuration, or enterprise trust-root distribution.

  • Large-Scale Security Programs: Track record driving company-wide security architecture across multiple business units, including standards, rollout plans, risk acceptance, exception handling, and measurable adoption.

  • External-Facing Architecture: Experience explaining security architecture to executives, customers, partners, standards bodies, or field teams while preserving bounded claims and clear implementation caveats.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: AI, Data Engineering, Data Science. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 27, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

About Nvidia

Nvidia

NVIDIA is one of the most influential technology companies in the world, powering the modern era of artificial intelligence, high-performance computing, graphics, and autonomous systems. Originally known for its leadership in gaming GPUs, NVIDIA has evolved into the backbone of AI infrastructure, designing the chips, software, and systems that train and deploy large-scale AI models used across industries from healthcare and robotics to autonomous vehicles and scientific computing.

For job seekers, NVIDIA offers opportunities at the forefront of deep tech, spanning software engineering, AI research, systems engineering, hardware design, networking, robotics, and developer tools. A major focus of its work is the CUDA software platform and AI ecosystem, which enables developers to program GPUs at massive scale and has become foundational to modern machine learning and data center computing. This makes NVIDIA especially attractive to engineers, researchers, and technologists who want to work directly on the infrastructure powering today’s AI revolution.

Unlike traditional hardware companies, NVIDIA operates as a full-stack computing platform company, integrating silicon, systems, and software into a unified ecosystem. Employees may work on everything from GPU architecture and data center systems to AI frameworks, simulation platforms like Omniverse, and autonomous vehicle technology through the DRIVE platform. This breadth allows teams to operate at the intersection of research and production-scale deployment, with direct impact on global computing infrastructure.

As demand for AI, accelerated computing, and autonomous systems continues to grow rapidly, NVIDIA remains one of the most important employers in technology and advanced engineering. For professionals seeking a high-impact career at the center of AI development—where breakthroughs quickly translate into real-world systems at global scale—NVIDIA stands out as one of the most dynamic and sought-after destinations in the industry.

Go to company profile