below marketmost similar roles pay hereabove market
This role pays more than
68%
of similar roles. Most pay
$160,000–$230,925
— the blue band above.
At the midpoint, this role pays about
$219k
versus about
$195k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
The Senior Security Engineer, AI Architecture Patterns joins the team to develop shift-left solutions that embed security standards directly into AI-generated code. You will convert written security standards into machine-enforceable formats for programming assistants, engineer verification workflows to confirm code meets standards, and maintain evaluation harnesses for non-deterministic systems. Responsibilities include converting architecture patterns into runnable reference implementations like Helm charts and container images, while elevating AI prototypes to enterprise-grade products focusing on observability, latency, and access control. You will utilize Python, Go, Kubernetes, and CI/CD pipelines to manage policy-as-code and schema validation. This role solves the technical challenge of ensuring constraint-steered agents produce conformant code by establishing enterprise-grade architecture standards for AI tooling within a security context across large distributed systems.
What does a Security Engineer earn in California?
Median $200125 from 42 postings across 15 companies.
Develop shift-left solutions to embed security standards, constraints, and guardrails directly into AI-generated code.
Convert written security standards into machine-enforceable formats for programming assistants and automated pipelines.
Engineer verification workflows to confirm generated code meets standards for downstream release gating and policy enforcement.
Maintain evaluation harnesses, reference repositories, and known-bad cases to ensure agent conformance across changing models.
Convert approved architecture patterns into secure, runnable reference implementations like Helm charts and container images.
Elevate AI prototypes to enterprise-grade products by managing versioning, observability, latency, cost budgets, and access control.
Set enterprise-grade architecture standards for AI security tooling and monitor adoption and qualification criteria.
Review builds and share platforms with internal teams to raise engineering standards and close residual risks.
What we're looking for
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 tooling, including context and constraint injection, rules, scaffolds, and plan-mode integrations.
Proven skill in building evaluation harnesses and regression suites for non-deterministic systems, including reference cases and conformance measurement.
Proficiency in cloud-native and containerized environments, including Kubernetes, Helm, container image hardening, and identity and networking primitives.
Strong software engineering fundamentals in Python or Go, including CI/CD pipelines, static analysis, code generation, and policy-as-code.
Proven track record of taking systems from prototype to production at enterprise standards for reliability, observability, and access control.
Practical grounding in security architecture, including threat modeling, isolation boundaries, secrets handling, and rendering specifications as machine-checkable.
BS/MS in Computer Science, Engineering, or equivalent experience.
Machine Learning
AI Security
Generative AI
Large Language Models
Adversarial Machine Learning
Data Analytics
Natural Language Processing
Computer Vision
Containerization
Microservices
Data Visualization
NetFlow
Cybersecurity
Statistical Modeling
System Design
AI Security
Machine Learning
Generative AI
Large Language Models
Cloud Security
DevSecOps
CI/CD
Threat Modeling
Data Pipelines
APIs
Identity and Access Management
Data Protection
Security Architecture
Security Automation
Product Security
Application Security