NVIDIA Corporation

Principal Software Engineer, Agent Policy Fabric

NVIDIA Corporation$272K — $431K *
Consumer Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree (or equivalent experience) with 15+ years in systems software, security engineering, distributed systems, or policy infrastructure.
  • Strong programming skills in Rust, Go, C++, or Python.
  • Experience designing production services, APIs, schemas, policy engines, or authorization systems.
  • Familiarity with Linux systems, service-to-service APIs, and CI/test automation.
  • Practical experience in security engineering concepts like cryptographic signatures and zero-trust architecture.

Responsibilities

  • Own APF Core Services by building and hardening essential components like runtime policy verification and authorization APIs.
  • Design Policy Projection for deterministic translations from canonical policies into runtime-specific implementations while maintaining contract integrity.
  • Build Conformance and Verification through testing frameworks that validate APF compatibility across runtimes.
  • Collaborate with Runtime Owners to establish public runtime interfaces for policy utilization and verification processes.
  • Land Runtime integration surfaces by coordinating with cross-team efforts to establish tailored substrate interfaces and document them.
  • Drive Architecture Maturity by defining specifications for versioning, compatibility, availability, and security behaviors across systems.
  • Evolve technical specifications by documenting and refining claims through collaborative architecture reviews and engineering artifacts.

Benefits

  • Equity participation in the company.
  • Comprehensive health insurance coverage.
  • Paid time off and flexible working arrangements.
  • Opportunities for professional development and continuous learning.
  • Access to cutting-edge technology and innovation at NVIDIA.
Full Job Description
The Cloud Engineering & Services team is building an enterprise governance layer for agentic systems: signed policy, runtime verification, policy projection, credential mediation, detector verdict handling, and common audit across runtime substrates and enterprise integrations.

We are looking for a Principal Software Engineer, Agent Policy Fabric (APF) Core Platform, to join our Cloud Engineering & Services team and mature the scoped APF v0 proof-of-life into a robust core platform for governed agent action. You will play a critical role in building the foundations for the signed policy, Runtime Policy Verifier, projection, conformance, and failure mode that future APF deployments depend on.

What You'll Be Doing:
  • Own APF Core Services: Build and harden the Runtime Policy Verifier, signed policy bundle verification, trust-root handling, freshness, rollback protection, subject binding to attested runtime context, revocation checks, and authorization APIs used by APF-compatible enforcement points.
  • Design Policy Projection: Implement deterministic projections from the canonical APF policy into OpenShell-native runtime policy, adapter constraints, credential constraints, audit requirements, and model-visible tool hints, while preserving the atomic projection-admission contract.
  • Build Conformance and Verification: Create golden fixtures, compatibility tests, negative tests, fuzz/property tests, and conformance suites that prove APF-compatible runtimes and adapters honor the same contract.
  • Collaborate with Runtime Owners: Engage alongside OpenShell and Infrastructure engineers on public runtime interfaces for projection consumption, runtime context attestation, approved adapter paths, direct egress verification, and admission/rejection semantics.
  • Land the Runtime integration surfaces. Own the cross-team work with OpenShell and other runtime owners to land public substrate interfaces APF composes against - runtime-context attestation, approved adapter path declaration, projection acceptance and rejection semantics, quarantine, and stop-session hooks. Land each as a public RFC or PR.
  • Drive Architecture Maturity: Define versioning, schema compatibility, latency budgets, availability behavior, fail-closed defaults, last-known-good policy handling, and engineering review artifacts for Product Security, Fleet, Identity, and partner teams.
  • Evolve technical specifications. Write specifications, defend bounded claims in security and architecture reviews, drive open-decision resolution, and turn working-draft contracts into engineering artifacts that Product Security, Fleet, Identity, and partner runtimes can adopt.


What We Need To See:
  • Bachelor's degree (or equivalent experience) with 15+ years of industry experience in systems software, security engineering, distributed systems, or policy infrastructure.
  • Technical Core: Strong programming skills in Rust, Go, C++, or Python; experience designing production services, APIs, schemas, policy engines, authorization systems, or signed artifact pipelines.
  • Infrastructure Familiarity: Linux systems, IPC or service-to-service APIs, protobuf/gRPC or equivalent wire formats, CI, test automation, release engineering, and cloud or enterprise deployment environments.
  • Security Engineering: Practical experience with authorization, cryptographic signatures, trust roots, revocation, subject binding, rollback protection, secure-by-default failure handling, and zero-trust architecture patterns.
  • Architecture Leadership: Ability to write streamlined technical specifications, align multiple engineering owners, defend bounded claims, and turn working-draft architecture into buildable interfaces without over-scoping the runtime.


Ways to Stand Out from the Crowd:
  • Runtime Policy Systems: Experience with OPA/Rego, Cedar, Zanzibar-style authorization, policy compilers, sandbox policy, or runtime enforcement systems.
  • Agent Runtime Security: Familiarity with agent frameworks, tool-call governance, sandboxed execution, OpenShell-like runtime substrates, MCP-style tool routing, or credential isolation for agents.
  • Supply Chain and Signing: Experience with Sigstore, TUF, in-toto, HSM-backed signing, package provenance, signed configuration, or enterprise trust-root distribution.
  • Formal or Adversarial Verification: Experience using property testing, model checking, symbolic execution, red-team findings, or bounded verification to constrain security claims.
  • Standards engagement: Experience contributing to RFCs in identity, supply-chain, or policy spaces (IETF, OpenID Foundation, FIDO Alliance, CNCF, NIST).


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 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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