Level

NVIDIA

Senior Software Engineer, Agent Policy Fabric

NVIDIA is hiring a Senior Software Engineer, Agent Policy Fabric in Santa Clara, United States. It pays $152k-$242k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
  • The posting mentions Openshell, AI agents and policy verification among its tools and skills.
  • Level classes it as a senior role.
  • NVIDIA has 2,700+ other open roles on Level.
  • Posted within the past week.

AI in this role

Build and operate Agent Policy Fabric, an enterprise governance and runtime verification layer for AI agents.

openshell
ai-agentspolicy-verificationruntime-integrationsecurity-compliancefuzz-testingconformance-testing

The Agentic Safety Engineering team is building Agent Policy Fabric (APF), an enterprise governance layer for AI agents. APF combines signed policy, runtime verification, policy projection, credential mediation, and audit records to help govern the actions agents take across enterprise systems. We are looking for a Senior Software Engineer to help turn the APF proof of concept into diligent production software. You will build, implement, test, and operate features in policy verification, runtime integration, or conformance testing. Working with experienced platform and security engineers, you will own a defined feature or subsystem and help ensure that policy decisions are accurate, integrations are reliable, and failures are handled safely!


Join us!


What You'll Be Doing:

  • Build policy-verification features: Implement components of the Runtime Policy Verifier and authorization APIs, including signed policy validation, freshness and revocation checks, rollback protection, and binding decisions to the correct subject and runtime context, following reviewed security contracts.
  • Implement policy projection: Translate canonical APF policy into runtime-specific rules and adapter constraints. Handle unsupported policies and partial updates safely so runtimes admit work only when the required policy has been accepted.
  • Develop runtime integrations: Work with OpenShell and other runtime engineers to implement and test agreed interfaces for policy consumption, runtime context, admission decisions, and audit events. Document interface behavior and raise gaps or conflicting assumptions for resolution.
  • Strengthen correctness and conformance: Build fixtures, compatibility tests, negative tests, and property or fuzz tests that exercise policy behavior, integration boundaries, and failure paths. Investigate defects and turn findings into regression coverage.
  • Deliver production-ready components: Add observability, measure performance, debug reliability issues, and contribute to rollout plans and operational documentation for the components you own.
  • Contribute technical judgment: Write focused design documents, explain implementation tradeoffs, participate in code and security reviews, and work with platform, Identity, and Product Security partners to resolve issues within your scope.
  • Help the team deliver: Break work into achievable turning points, communicate dependencies and risks, review code, and share knowledge with other engineers.

What We Need To See:

  • Bachelor's degree or equivalent experience, with 5+ years of relevant industry experience in systems software, backend services, distributed systems, security engineering, or policy infrastructure.
  • Strong programming skills in at least one of Rust, Go, C++, or Python, with experience delivering maintainable, tested production code.
  • Experience building and delivering services or systems components, including API design, integration, debugging, and error handling.
  • Practical experience implementing security controls, such as authorization checks, signature verification, or credential handling, and the ability to reason about trust boundaries and safe failure behavior.
  • Working knowledge of Linux, service-to-service interfaces, automated testing, CI, and software release workflows.
  • Ability to own engineering work through design, implementation, validation, and delivery; communicate technical tradeoffs clearly; and collaborate effectively through design and code reviews.

Ways to Stand Out from the Crowd:

  • Experience with policy engines or authorization systems such as OPA/Rego, Cedar, Zanzibar-style systems, or runtime enforcement frameworks.
  • Experience with signed artifacts, trust-root distribution, key rotation, revocation, or tools such as Sigstore, TUF, or in-toto.
  • Familiarity with AI-agent runtimes, sandboxed execution, tool-call governance, MCP-style routing, or credential isolation.
  • Experience with protobuf/gRPC, schema evolution, backward-compatible APIs, or cloud and enterprise deployment environments.
  • Use of property testing, fuzzing, or other adversarial testing techniques to find security and correctness defects.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 25, 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.

How we rate this

Senior Software Engineer, Agent Policy Fabric at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsPolicy VerificationRuntime IntegrationSecurity ComplianceFuzz TestingConformance TestingOpenshell

Also common in software engineer jobs at this level

Pay

This job starts at
$152k
Typical software engineer job
$168k

This posting starts 10% below the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where policy verification was part of your work. What did you do?
  3. Tell me about a project where runtime integration was part of your work. What did you do?
  4. Tell me about a project where security compliance was part of your work. What did you do?
  5. Tell me about a project where fuzz testing was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Policy Verification, Runtime Integration, Security Compliance, and Fuzz Testing. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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