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Senior Security Engineer, AI Architecture Patterns

NVIDIA· Engineer, SW
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Santa Clara, CA, Remote$168k - $270.3kFull-timePosted 4d ago

About the role

Senior Security Engineer focusing on architecture patterns for AI, building shift-left security, machine-enforceable standards, and enterprise-grade AI tooling with robust security and governance.

Responsibilities

  • Develop shift-left solutions that embed security standards directly into AI-generated code, ensuring constraints, scaffolds, rules, and guardrails are applied during the coding process rather than post-shipment.
  • Convert written security standards into machine-enforceable formats, enabling programming assistants and pipelines to apply them seamlessly without manual interpretation.
  • Engineer verification workflows that confirm generated code meets claimed standards, providing evidence for downstream release gating and policy enforcement.
  • Maintain and evolve evaluation harnesses, reference repositories, known-bad cases, and encouraged findings to ensure constraint-steered agents produce conformant code amid changing models, patterns, and tooling.
  • Convert approved architecture patterns into secure, runnable reference implementations, such as templates, Helm charts, container images, and worked examples, ensuring their reliability as platforms evolve.
  • Elevate AI solutions from prototypes to enterprise-grade products, focusing on versioning, observability, latency and cost budgets, access control, audit, graceful failure, and a detailed support and deprecation model.
  • Set the enterprise-grade architecture standards for AI tooling in a security context, determining qualification criteria and monitoring adoption and outcomes to ensure efficiency.
  • Collaborate with teams developing their own AI and automation solutions, reviewing builds, sharing platforms, raising engineering standards, and staying engaged through adoption, validation, and residual-risk closure.

Qualifications

  • 8+ years 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 the tooling that builds their output, including context and constraint injection, rules and scaffolds, plan-mode and tool integrations, and development guided by detailed specifications.
  • Proven skill in 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 Python or Go, with experience in CI/CD pipelines, static analysis, code generation tooling, policy-as-code, schema validation, Git workflows, and automated publishing.
  • Proven 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 render specifications machine-checkable.
  • Ability to operate as both an architect and engineer, reviewing builds, explaining technical trade-offs, influencing without direct authority, and improving team capabilities.
  • BS/MS in Computer Science, Engineering, or equivalent experience.

Skills

Required:Security engineeringAI coding agents toolingEvaluation harnesses and regression suitesCloud-native / Kubernetes / HelmPython or GoCI/CD / code generation tooling / policy-as-codeSecurity architecture & threat modeling

Benefits

  • equity
  • benefits (details available via link)
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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