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Senior Security Engineer, AI Architecture Patterns
NVIDIA · Santa Clara, CA · Posted 21 days ago
Shape enterprise AI security standards by embedding shift-left security directly into code-generating agents at NVIDIA.
Join NVIDIA, a company with over 25 years of experience advancing visual technology, personal gaming platforms, and high-performance computing! We have pushed innovation through our innovative technology and talented team. As we expand into AI's vast possibilities, we need a Senior Security Engineer, Architecture Patterns to build the future of computing. In this role, you will be involved in the latest AI developments, uphold security standards, and contribute to powerful projects alongside top talent in Santa Clara, CA. Join us!
What you'll be doing:
- 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.
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This posting is sourced from NVIDIA's own career site — applying takes you there directly.
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This role is one of 108 Security Engineer openings in Remote and centers on Security Engineering, AI Coding Agents, Evaluation Harnesses, and Kubernetes. There are 2,109 open roles at NVIDIA right now.
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