Senior Security Engineer, AI Architecture Patterns

Details

Join NVIDIA to help build the future of computing by advancing AI security standards and contributing to enterprise-scale AI projects.

Responsibilities

• Develop shift-left solutions that embed security standards directly into AI-generated code, applying constraints, scaffolds, rules, and guardrails during the coding process rather than after shipment.
• Convert written security standards into machine-enforceable formats for programming assistants and pipelines.
• Engineer verification workflows that confirm generated code meets claimed standards and provide evidence for release gating and policy enforcement.
• Maintain and evolve evaluation harnesses, reference repositories, known-bad cases, and encouraged findings for constraint-steered agents as models, patterns, and tooling change.
• Convert approved architecture patterns into secure, runnable reference implementations, including templates, Helm charts, container images, and worked examples.
• Elevate AI solutions from prototypes to enterprise-grade products, focusing on versioning, observability, latency and cost budgets, access control, audit, graceful failure, and support and deprecation models.
• Establish enterprise-grade architecture standards for AI tooling in a security context, including qualification criteria and monitoring adoption and outcomes.
• Collaborate with teams developing AI and automation solutions by reviewing builds, sharing platforms, raising engineering standards, and supporting adoption, validation, and residual-risk closure.

Requirements

• 8+ years of experience in security engineering, platform engineering, product security, infrastructure security, DevSecOps, developer experience engineering, or software engineering for large distributed systems.
• Expertise with AI coding agents and related tooling, including context and constraint injection, rules and scaffolds, plan mode, tool integrations, and specification-guided development.
• Experience building evaluation harnesses and regression suites for non-deterministic systems, including reference cases, result verification, conformance measurement, and regression detection.
• Proficiency in cloud-native and containerized environments, including Kubernetes, Helm, container image hardening, and the composition of identity, networking, and infrastructure primitives into secure systems.
• Strong software engineering fundamentals in a language such as Python or Go, with experience in CI/CD pipelines, static analysis, code generation tooling, policy-as-code, schema validation, Git workflows, and automated publishing.
• Track record of taking systems from prototype to production at enterprise standards, including reliability, versioning, observability, access control, documentation, and support models.
• Practical grounding in security architecture, including threat modeling, control selection, isolation boundaries, workload identity, secrets handling, logging, and audit, with the ability to make specifications machine-checkable.
• Ability to operate as both an architect and engineer, review builds, explain technical trade-offs, influence without direct authority, and improve team capabilities.
• BS/MS in Computer Science, Engineering, or equivalent experience.

Preferred Qualifications

• Experience shipping tooling that steers or constrains code-generating agents at generation time.
• Experience providing attestation, provenance, or supply chain evidence, including signing, verifiable claims, or build-time evidence.
• Experience productizing internally built AI tooling into enterprise-grade solutions with evaluation, guardrails, cost controls, and operational support.
• Experience establishing a golden-path, paved-road, or internal developer platform program at scale.
• Engagement in technical development or knowledge sharing through open-source work, technical writing, standards work, conference talks, mentoring, or community participation.

Compensation and Benefits

The base salary range is USD 168,000–270,250. The role is also eligible for equity and benefits.

Applications will be accepted at least until October 20, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is committed to an inclusive, equal-opportunity work environment.