Senior AI Security Engineer

Nvidia

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Seattle, WATXCOWACAMA
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 7 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k

This role $236k

$118k $306k

below market most similar roles pay here above market

This role pays more than 88% of similar roles. Most pay $149,331–$216,000 — the blue band above. At the midpoint, this role pays about $236k versus about $183k 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.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior AI Security Engineer

Role Posting Log in to save

The Senior AI Security Engineer joins the Agentic & AI Cybersecurity Research team to develop software that accelerates and improves cybersecurity tooling for AI. This hands-on role involves transforming research code into alpha products, identifying high-value MVPs for ambiguous security and identity problems, and prototyping solutions for production-ready services. The engineer will build reusable skills, CLI tools, APIs, and integration patterns to help internal teams adopt secure agent approaches. Key requirements include a degree in Computer Science or related experience, over eight years of software or security engineering experience, and technical leadership. Necessary skills include building backend services, automation, and platform components. The role requires familiarity with building agents, AI tooling, offensive security, red teaming, and addressing risks like injection, tool misuse, and unauthorized access expansion.

Skills

Backend Services APIs AI Tooling Workflow Orchestration Offensive Security Red Teaming Attack-Path Analysis MVP, prototyping Automation CLI Tools Cybersecurity

What you'll do

Develop software to accelerate and improve cybersecurity tooling for AI.
Transform research code into alpha versions of production-ready products.
Identify high-value MVPs for ambiguous security and identity problems.
Prototype solutions and iterate them into production-ready services.
Develop reusable skills, CLI tools, APIs, and integration patterns for internal teams.
Align system architecture with real workflow needs and operational constraints.
Apply offensive security and adversarial thinking to architecture decisions and security tradeoffs.

What we're looking for

Bachelor’s degree or Master’s degree or equivalent experience in Computer Science or a related field.
8+ years in software engineering, security engineering, or related areas, including hands-on technical leadership.
Excellent software engineering skills in building backend services, APIs, automation, or platform components.
Experience with multi-contributor software projects and long-running software projects.
Familiarity with building agents, AI tooling, and architectures.
Track record of framing problem spaces, defining MVPs, prototyping quickly, and evolving ideas into production systems.
Familiarity with offensive security, adversarial thinking, red teaming, or attack-path analysis.
Experience with agentic or AI-adjacent systems, such as tool-using applications or workflow orchestration (preferred).

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